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Department: School of Computer Science, Electrical and Electronic Engineering and Engineering Maths
Workload: 100%
Duties: Your role would be to design a simulator to model nanoparticle dynamics (motion and interactions) in tumours. Your work may involve stochastic simulations, modelling of reaction-diffusion-convection systems, artificial evolution and machine learning, and programming of user-friendly web interface
Minimum Requirements: The ideal candidate will have experience in mathematical modelling or computer science and will be comfortable in crossdisciplinary settings related to biomedical research

Deadline: October 2, 2018 | Published: September 21, 2018   13:21              

Department: Division of Medicine
Duration: 2+ y        Workload: 100%
Duties: combine the underlying molecular changes in prostate cancer with novel MR techniques, T2 mapping, ADC Map and long b diffusion sequence. identify the imaging (mpMRI, T2 mapping, VERDICT and 13C Hyperpolarised MR) endotype in patients with early prostate cancer that is associated with aggressive disease to avoid overtreatment of patients. develop a methodology to estimate histology from the MRI. Using machine learning to derive precise prostate histopathological mapping of tumours from mp-MRI images. develop a new technology: Susceptibility-Based Cancer Oxygenation Mapping (SBCOM) in prostate cancer and to investigate its clinical potential to non-invasively determine prostate cancers’ hypoxic status
Minimum Requirements: The candidate should hold a PhD or equivalent research experience in MRI physics, biomedical engineering, or a comparable subject with good publication track record consistent with career history. Applicants close to submission of a thesis will be considered. He/She should have experience of and commitment to multidisciplinary working. Imaging experience is desirable but not essential. The successful candidate is expected to have proven ability to organise and prioritise workload, work and communicate effectively within a team environment and on own initiative

Deadline: October 21, 2018 | Published: September 21, 2018   07:06              

Duration: Permanent        Workload: 100%
Duties: As an NPL data scientist working within Electrical Power Systems you will undertake projects that focus on building confidence in data-driven solutions to the challenges within smart grids and novel power systems. You will undertake research into the development and assessment of power systems performance and health, across a range of application areas including the roll-out of smart meters and the introduction of electric vehicles in private and public transport systems. The role will form part of a self-supporting multi-disciplinary team of scientists and engineers covering a range of skills from mechanical design through to informatics and visualisation
Minimum Requirements: Have a PhD or equivalent along with a good first degree in a relevant discipline; have experience working on industrial projects within a R&D environment; experience programming in a number of different languages; be able to demonstrate the ability to collate, cleanse and analyse large data sets using state-of-the-art techniques; experience modelling systems using open source and commercial software; be able to demonstrate experience of delivering work on time and within budget

Deadline: October 18, 2018 | Published: September 20, 2018   20:39              

Department: Department of Mathematical Sciences
Duration: 3 y        Workload: 100%
Duties: To undertake and publish original research of the highest level, to contribute to the research activities of the Probability research unit and of the Department as a whole. We expect Willmore Fellows to contribute modestly to teaching, in the form of final year undergraduate project supervision in their area of research and possibly in tutorials
Minimum Requirements: A good first degree and a PhD in Mathematics or a related discipline. Have between 2 and 6 years of research experience since their PhD by the closing date of the call. Evidence of a recent recognized publication record in Probability theory or a related area, in high quality international journals, with several papers that are internationally excellent or world-leading in terms of originality, significance and rigour. Strong research potential evidenced by a personal research plan which supports and enhances the Department’s research. Capability to develop an independent research programme. Skills and/or achievements that demonstrate experience or the potential to participate in the collegial/administrative activities of an academic Department notably related to their research and/or the research and research environment of the Department. Excellent oral and written communication skills with the ability to engage with a range of students and colleagues across a variety of forums
Preferred Requirements: Skills that demonstrate the potential to develop successful research project proposals; to provide excellent supervision for PhD students; to contribute to the leadership of research groups and the mentoring of early career researchers; to evidence research impact beyond the institution. Skills and/or achievements that demonstrate experience or the potential to engage in the administrative functioning of the candidate’s academic Department and/or discipline including any leadership or other responsibilities in an academic/research context

Deadline: November 26, 2018 | Published: September 20, 2018   15:37              

Department: Department of Mathematical Sciences
Duration: 3 y        Workload: 100%
Duties: To undertake and publish original research of the highest level, to contribute to the research activities of the Analysis and Partial Differential Equations research unit and of the Department as a whole. We expect Willmore Fellows to contribute modestly to teaching, in the form of final year undergraduate project supervision in their area of research and possibly in tutorials
Minimum Requirements: A good first degree and a PhD in Mathematics or a related discipline. 2 to 6 years of postdoctoral experience in Analysis of Partial Differential Equations or a related area, by the closing date of the call. Evidence of a recent recognized publication record in Applied Analysis, PDEs or a related area, in high quality international journals, with several papers that are internationally excellent or world-leading in terms of originality, significance and rigour. Strong research potential evidenced by a personal research plan which supports and enhances the Department’s research. Capability to develop an independent research programme. Skills and/or achievements that demonstrate experience or the potential to participate in the collegial/administrative activities of an academic Department notably related to their research and/or the research and research environment of the Department. Candidates must have excellent oral and written communication skills with the ability to engage with a...
Preferred Requirements: Skills that demonstrate the potential to develop successful research project proposals; to provide excellent supervision for PhD students; to contribute to the leadership of research groups and the mentoring of early career researchers; to evidence research impact beyond the institution. Skills and/or achievements that demonstrate experience or the potential to engage in the administrative functioning of the candidate’s academic department and/or discipline including any leadership or other responsibilities in an academic/research context

Deadline: December 14, 2018 | Published: September 20, 2018   15:03              

Department: Department of Mathematical Sciences
Duration: 1 y        Workload: 100%
Duties: To undertake teaching and administrative duties.Teaching would include tutorials and problems classes in an area of mathematics throughout the period, including marking formative and summative assessments. The successful candidate would also be involved in outreach activities, quality assurance and curriculum development
Minimum Requirements: Record of excellent teaching and/or tutoring in an area of Mathematics

Deadline: September 28, 2018 | Published: September 20, 2018   13:26              

Duration: Permanent        Workload: 100%
Duties: The holder of this post will be part of a major development using Microsoft SQL Server 2017 SSIS, SSAS and Power BI (with some SSRS) to design, build and implement an enterprise-wide business intelligence and reporting service for the University. The person will be responsible for the design and development of the ETL processes and the data (including the dimensional databases, cubes and tabular models) required to support senior management decision making. Translate user requirements provided by business users, business analysts, subject matter experts and working groups into technical designs and documentation. Work directly with colleagues in other University departments to understand and refine information and reporting requirements
Minimum Requirements: Good honours degree or equivalent professional experience/qualification. Experience of working in a formal team with established working practices on business intelligence/data warehouse projects. Excellent knowledge and significant hands-on experience of designing, building, testing and deploying complex ETL solutions using SSIS in a medium/large organisation
Preferred Requirements: Knowledge and experience of at least one of SSAS cube design and deployment. SSAS tabular model design and deployment. Experience of ETL development using SQL Server 2012 or later

Deadline: October 2, 2018 | Published: September 20, 2018   10:25              

Department: Institute of Neurology
Duration: 1+ y        Workload: 100%
Duties: The post holder's primary responsibility will be to analyse existing data and submit manuscripts for publication, though there is scope for the candidate to participate in and, potentially, lead their own electrophysiological research project if desired
Minimum Requirements: Applicants must have an Honours degree (minimum 2: 1) in Neuroscience or equivalent, and have, or be close to obtaining, a PhD in Neuroscience or related subject area. Experience of analysing single-neuron data obtained during performance of behavioural tasks, using MATLAB (or related software) for data and statistical analysis and results visualization, and analysing choice-behaviour (eg, psychometric functions, drift-diffusion models) is essential

Deadline: October 2, 2018 | Published: September 20, 2018   08:30              

Duties: The European Molecular Biology Laboratory (EMBL) invites you to apply for PhD positions in Biology, Chemistry, Physics, Mathematics, Computer Science, Engineering, Molecular Medicine. Our PhD positions come along with generous fellowships including broad health care benefits and pension access

Deadline: October 22, 2018 | Published: September 20, 2018   00:05              

Department: School of Medicine, Dentistry & Nursing
Workload: part-time
Duties: To provide specialist statistical advice, support and effective guidance within the remit of the Unit. Plan and conduct assigned research under the supervision of the PI and in accordance with the project deliverables specified by the PI. Undertake analysis of the I-DSD, I-CAH and EuRRECa registries, develop protocols for analysising the data, documenting outcomes and drafting technical/progress reports and papers as required. Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students on statistical aspects of the projects and less experience members of the project team to ensure their effective development
Minimum Requirements: SCQF Level 10 (Honours degree). May be working towards a postgraduate qualification such as Masters (SCQF Level 11) or PhD (SCQF Level 12) in relevant subject, and experience of personal development in a similar or related role (s). An understanding of the role of technology in supporting research. Familiarity with relevant databases
Preferred Requirements: A postgraduate qualification or higher degree in Statistics or a numerate and/or scientific discipline (or equivalent) with a substantial statistics component. Knowledge of “big data” analysis. Knowledge of creating statistical queries in SQL databases

Deadline: October 8, 2018 | Published: September 19, 2018   21:29              

Department: School of Economics & Finance
Duties: The School of Economics and Finance at Queen Mary University of London invites applications from scholars of international distinction for appointments in any fields in economics and finance, with a particular interest in finance, econometrics, and financial econometrics. Positions are available across the academic levels: Lecturer, Senior Lecturer, Reader and Professor (equivalent to Assistant Professor, Associate Professor and Professor)
Minimum Requirements: The successful candidate must have a postgraduate degree and/or relevant professional qualification and/or equivalent professional experience, together with a track record of high quality research at a national and international level, including publications in renowned journals. The successful candidate will be expected to contribute significantly to the development of the School’s research strategies, to be active in attracting research income and to play a full role in both undergraduate and postgraduate teaching. Please refer to the relevant job profile for the full criteria at each level

Deadline: June 1, 2019 | Published: September 19, 2018   16:20              

Department: Centre for Primary Care and Public Health - Blizard Institute
Duration: 3 y        Workload: 100%
Duties: The focus of the role will be to provide leadership on all data management activities across the lifecycle, including liaison with and advice to study teams, as well as gathering information, building and supporting new and existing study databases for clinical research, using EDC systems such as OpenClinica and RedCap. It will also involve developing and documenting data management processes, as well as line management and supervision of junior colleagues in the team. Training will be provided on any technical part of the role as required
Minimum Requirements: An undergraduate degree or above, with substantial relevant experience in data management or database development is required. Also among the essential requirements are in-depth experience of building and managing study databases with EDC tools, experience of developing and documenting data management processes and SOPs, line management experience, as well as a good understanding of the regulatory framework around data management and information governance

Deadline: October 16, 2018 | Published: September 19, 2018   13:37              

Workload: 100%
Duties: Based at our Liverpool site, you will work in our large team of scientific data managers ensuring that marine data collected on research projects is curated and made widely available for long term re-use. You will be involved in managing data from national/international projects for which BODC is the designated Data Centre. The work is intellectually challenging and fulfilling. You will be expected to develop solutions for the management of data within your area of responsibility. You will also be expected to work closely with project scientists and to develop a clear scientific insight into the data being handled. Some seagoing work may be arranged to familiarise the successful candidate with data collection techniques
Minimum Requirements: To be successful in this role you will need to understand the value of sharing quality marine science data. You will have a degree or post-graduate qualification in marine science with experience of working with large scientific datasets. Well-developed computer skills will be required, ideally including some scientific programming experience. Good communication, planning and problem solving skills are highly desirable, as is an understanding of project management

Deadline: October 14, 2018 | Published: September 18, 2018   12:59              

Department: Blizard Institute
Duration: 1 y        Workload: 100%
Duties: There is an opening for a postdoctoral research assistant to investigate the role of lipid-based moisturisers in protection of skin barrier biophysical properties. The successful candidate will join a multi-disciplinary team of biologists and engineers, and will develop advanced imaging methods to characterise the mechanical and biophysical properties of various skin models. These tools will then be used to assess the effects of different moisturising compounds on skin barrier function
Minimum Requirements: We seek a creative and motivated scientist with experience in skin biology, biomechanics, and imaging as well as a Ph.D. in a related field. Additional industrial experience working within the skin or wound care sectors would be highly advantageous

Deadline: October 17, 2018 | Published: September 18, 2018   07:12              

Department: Blizard Institute
Duration: 2 y        Workload: 1.5 days per week
Duties: The main objectives of this research are to determine the underlying genetic causes of dyskeratosis congenita, bone marrow failure and related disorders. These are a group of rare but life-threatening conditions. Our previous work has established the important link between bone marrow failure and telomere maintenance. There remains a considerable computational challenge to explore the growing number of exome and genome datasets in our patient cohort
Minimum Requirements: The candidate will need strong computational skills, and previous experience in the analysis of next generation datasets is essential. A good publication record is desirable

Deadline: October 2, 2018 | Published: September 18, 2018   07:03              

Department: Civil, Environmental & Geomatic engineering
Duration: 1+ y        Workload: 100%
Duties: Carry out financial analysis and modelling within the CLIC project. Prepare written progress reports
Minimum Requirements: The candidate should hold a degree in finance/economics, engineering or relevant subject area. Knowledge and experience in finance with experience in advanced numerical and computational analyses

Deadline: October 8, 2018 | Published: September 18, 2018   06:44              

Department: School of Medicine
Duration: 1 y        Workload: 100%
Duties: To conduct research within psychosis epidemiology, in particular the MRC Pathways to Psychosis project, and publish this work in high-quality journals. To undertake analyses using a variety of advanced statistical methods including longitudinal modelling, latent class analysis and structural equation modelling. To engage effectively with colleagues at the University of Bristol to ensure grant objectives are met
Minimum Requirements: PhD (or equivalent experience) in a relevant discipline (e.g. epidemiology, medical statistics), or relevant industrial experience. Established expertise and proven portfolio of research within epidemiology (or relevant industrial experience). This should include knowledge of current status of research in specialist field. High level of competency with statistical packages including Stata or R. Experience of using multiple imputation to address the problem of missing data. Proven ability to publish in peer-reviewed scientific journals and the knowledge and understanding of competitive research funding to be able to develop credible applications to funding bodies. Demonstrable evidence of excellent written and oral communication skills. A proven ability to supervise the work of others. Demonstrable ability to work effectively, creatively and innovatively within a team environment. Proven ability to work without close supervision
Preferred Requirements: Experience of using advanced statistical approaches for analysis of longitudinal data (e.g. latent variable modelling techniques). Experience of longitudinal mixture modelling and latent growth modelling. Experience in statistical techniques for ‘causal’ mediation analysis. Previous experience working in psychosis epidemiology field. Proven ability to work independently and take responsibility for the successful completion of project

Deadline: September 30, 2018 | Published: September 17, 2018   22:43              

Department: Clinical Trials Unit
Duration: 3 y        Workload: 100%
Duties: The work involves economic analysis of NIHR-funded studies, including within-trial analyses, modelling and valuation-of-information, using suitable statistical software (e.g. STATA, R or SAS). Training will be provided
Minimum Requirements: You will have completed an MSc in health economics or a closely related quantitative discipline, have strong analytic skills and have a particular interest in economic analysis. Posts include a range of opportunities, including further training, studying for a PhD and developing a future portfolio of work

Deadline: October 14, 2018 | Published: September 17, 2018   19:29              

Duration: 3 y        Workload: 100%
Duties: The work involves economic analysis of NIHR-funded studies, including within-trial analyses, modelling and valuation-of-information, using suitable statistical software (e.g. STATA, R or SAS)
Minimum Requirements: You will have a PhD in health economics, interest and experience of economic analysis. Posts include a range of opportunities, including further training and developing a future portfolio of work

Deadline: October 14, 2018 | Published: September 17, 2018   19:22              

Duration: 1 y
Duties: The project, funded by the Swiss Federal Department of Foreign Affairs (FDFA), is expected to contribute to improving global governance on migration by (i) strengthening the evidence base on international migration and (ii) promoting gender-sensitive migration policies and for the protection of female migrants
Minimum Requirements: A strong knowledge of computer programming and parametric/non-parametric statistical methods and their application to demographic data is essential, preferably with experience in modelling human migration and/or Bayesian methods. Good GIS knowledge and skills would be a significant advantage. Applicants should have a PhD* or equivalent professional qualifications and experience in statistics/mathematics or related fields, such as demography and geography with a significant quantitative component. A willingness to travel internationally and to contribute to preparing publication materials, as well as running workshops is also necessary

Deadline: October 5, 2018 | Published: September 17, 2018   19:08              

Department: UCL GOS Institute of Child Health
Duration: 3 y
Duties: The aim of the studentship is to develop new approaches to the reconstruction of white matter morphology non-invasively in the brain using Diffusion MRI and white matter tractography. The project focuses on how to improve estimates of confidence and uncertainty in the reconstructed pathways. Current techniques allow only certain aspects of uncertainty to be obtained, and improved quantification of error and uncertainty is crucial if the full potential of tractography is to be realised in clinical applications. This project combines advanced MR Imaging and 3D reconstruction with measurement science and statistics
Minimum Requirements: Applicants should have, or expect to receive a first class or upper second class degree

Deadline: September 30, 2018 | Published: September 17, 2018   06:23              

Department: School of Electronic Engineering & Computer Science
Duration: 3 y        Workload: 100%
Duties: The project aims to radically extend the capability of these techniques on existing applications and by applying them in a wide range of other application contexts at different levels of scale. The purpose of this post is to contribute to the development of the underlying mathematical and logical theory, ensuring a single underpinning methodology. It provides an exciting opportunity to carry out fundamental work in Computer Science and to benefit from extensive interaction with leading researchers in more applied areas
Minimum Requirements: Applicants must have a PhD (awarded or reasonably expected to be awarded within 3 months) in a relevant area (relevant areas include logic, category theory, semantics and program verification) Solid knowledge of semantics relevant to project workpackage, and extensive experience in semantic techniques as applied to theoretical computer science are essential for this post
Preferred Requirements: A solid publication track record as appropriate for the candidate’s career stage is desirable. Candidates should have willingness to work flexibly in order to achieve project demands including attending general project meetings and to work closely with researchers on other components of the project

Deadline: October 14, 2018 | Published: September 16, 2018   10:14              

Department: College of Science and Technology
Workload: 100%
Duties: Our areas of specific interest are cyber-security/forensics/networking; data science/big data/cloud infrastructure; software engineering; and robotics. The work could involve, for example, taking lectures, seminars and/or laboratory classes, particularly at first and second year undergraduate level. Duties may also include preparation and marking where required
Minimum Requirements: In addition to appropriate knowledge and experience, you should possess excellent communication and presentation skills and a willingness to flexibly contribute to teaching and associated duties on undergraduate programmes in any or all of these areas

Deadline: October 2, 2018 | Published: September 15, 2018   20:35              

Department: Swansea University Medical School
Duration: until 30th June 2019        Workload: part-time
Duties: The purpose of this job is to support the continued development of the STU portfolio of studies through the All Wales Research Design and Conduct Service (RDCS) and to assist with producing high-quality and complete sets of data for analysis at the end of trials and assist with statistical aspects of trials adopted by STU in collaboration with key stakeholders including Abertawe Bro Morgannwg (ABM) University Health Board and Hywel Dda (HD) University Health Board and Welsh Ambulance Service NHS Trust (WAST)
Minimum Requirements: 1. A substantially quantitative scientific first degree, such as mathematics, statistics, econometrics, physics, engineering etc. with experience in applied statistics in health related subjects. 2. Evidence of the capacity for active engagement in designing research and writing, or contributing to writing, applications for external research funding. 3. Ability to demonstrate significant independence of focus and direction in research – determining ’what, why, when and with whom' to progress work. 4. Experience in designing of data management and reporting systems of clinical trials or similar scientific studies. 5. Knowledge of statistical data management software e.g. SPSS, R or STATA
Preferred Requirements: Qualifications – for example, PhD. Experience of supervising undergraduate or postgraduate student projects

Deadline: October 14, 2018 | Published: September 15, 2018   17:52              

Department: Clinical Studies
Duration: 3 y        Workload: 100%
Duties: Your work will focus on the development and validation of hypotheses and the generation of molecular markers of breast cancer. An important component of the role will be using tools and software packages that enable reproducible research and develop statistical methods for efficient data analysis. You will assume a key position performing statistical modelling/analysis of in-house (as well as publicly available) next generation sequencing datasets such as Exome, Targeted and Whole genome sequencing, and RNA sequencing datasets, and correlating the results to patient outcome
Minimum Requirements: In addition to a first degree in a subject with strong statistical/mathematical components, the successful applicant will hold a post-graduate qualification in bioinformatics, statistics, computer science, engineering or mathematics. Your analytical experience will enable you to perform integrated analysis. You will also have gained significant experience in bioinformatics role/s, data analysis and related statistical methodologies, have undertaken training and have an interest in clinical trials, genomics or related fields

Deadline: October 21, 2018 | Published: September 15, 2018   12:22              

Department: William Harvey Research Institute
Duration: 2 y        Workload: 100%
Duties: The successful candidate will provide leadership on the statistical design and analysis of clinical trials within the EMR, working closely with the WHRI Bioinformatics team to construct a statistical framework for the discovery of biomarkers for patient stratification from diverse genomic and clinical data. Statistical analysis of data from treatment, screening and epidemiological studies, including synthesis of evidence from studies or varying designs. Work with CI to help design new studies. Preparation of draft reports of epidemiological and trial data for discussion by trial investigators. To contribute to data management systems across studies
Minimum Requirements: Undergraduate degree (First or Upper Second). MSc or PhD or equivalent experience in statistics or related quantitative field. IT literate with the working knowledge of statistical, mathematical and database packages
Preferred Requirements: Experience of working in a research environment. Ability to interpret the scientific literature and incorporate into project

Deadline: October 14, 2018 | Published: September 15, 2018   11:54              

Department: Department of Mechanical Engineering
Workload: 100%
Duties: Manage data collection and storage on a day-to-day basis. Liaise closely with other academics, advisers and administrators relevant to the study. Collect and analyse a variety of primary and secondary quantitative and qualitative data from multiple sources. Take a lead role in the analysis and writing up of survey data, using multi-level modelling. Read and review literature as appropriate. Assist in the writing of the project website/blog, newsletters, reports and scholarly publications. Contribute to conference presentations, practitioner workshops and research advisory group meetings, as well as assisting in the running of them
Minimum Requirements: You will have, or be close to completing, a PhD in mechanical engineering, computer science, mathematics, or a related discipline. You will have a good honours degree and PhD (or be close to completion) and have the ability to code and create new User Defined Functions (UDFs) is a key activity

Deadline: October 7, 2018 | Published: September 15, 2018   10:06              

Duration: 1 y        Workload: 100%
Duties: The successful applicant will develop computational models of reinforcement learning, which describe how the brain learns the expected reward associated with certain stimuli and actions. The project will focus on the question of how the learning rate depends on stability of the environment. Such dependence is expected, because if the environment is changeable, it is more adaptive to increase the rate of learning. The postholder is also expected to contribute to the intellectual environment in the MRC Unit and in the theoretical neuroscience community in Oxford, by actively participating in seminars and meetings
Minimum Requirements: The successful applicant will possess PhD or equivalent qualification in a relevant area (e.g. computer science, neuroscience, engineering, mathematics, physics, psychology), have expertise in mathematical modelling and data analysis and proficiency in programming

Deadline: October 26, 2018 | Published: September 15, 2018   09:42              

Department: Department of Plant Sciences
Duration: 2 y +        Workload: 100%
Duties: We are seeking a modeller to build on our work to describe how plant pests and diseases spread in a natural and agricultural setting. The modelling is intended to inform policy at a national and international level to aid in optimal surveillance to predict the future spread of emerging diseases and to allow for exploration of optimal management scenarios. The individual will be expected to communicate the results of these models to stakeholders from various national and international bodies
Minimum Requirements: Applications are invited from candidates with a PhD in applied mathematics, physics, statistics or a related subject
Preferred Requirements: Familiarity with mathematical modelling of plant disease epidemics would be a strong advantage but is not essential. Knowledge of C++ and R languages and ArcGIS software is highly desirable

Deadline: October 15, 2018 | Published: September 15, 2018   09:28              

Department: Computer Science
Duration: 22 m        Workload: 100%
Duties: LivingLens and Liverpool John Moores University have collaborated to run a Knowledge Transfer Partnerships project with the aim to develop an intelligent system for data mining, to provide a competitive advantage and to allow LivingLens clients to make better business decisions based on actionable insights. You will be primarily responsible for developing the AI/data science capacity within the LivingLens product, in addition helping to operationalise the vision of data-driven decisions across the organisation. This will involve building machine learning models that utilize the data created by the LivingLens, helping to develop new potential revenue streams, in addition to introducing wide ranging improvements to data policy and processes
Minimum Requirements: You will be passionate about turning the raw material of data into useful algorithms and advanced insights to drive our product forward. The ideal candidate brings great commercial acumen, technical depth with machine learning and scaled data systems experience, and the leadership capability to build and drive this area of the business

Deadline: October 7, 2018 | Published: September 14, 2018   11:59              

Department: Continuing & Professional Education
Workload: part-time
Duties: You will design, prepare, and deliver a teaching programme, including preparing and supervising appropriate modes of assessment
Minimum Requirements: Evidence of excellent teaching skills (in particular course and lesson planning, group management, methods of assessment, and the use of technology in learning and teaching). An understanding of continuing education and an appreciation of the complexity of teaching adults. Evidence of appropriate knowledge in relation to the module and this area of teaching. A first degree, or equivalent, in a relevant subject. Previous teaching experience (preferably with adults in an HE/FE context) relevant to this subject area of expertise

Deadline: September 29, 2018 | Published: September 14, 2018   11:41              

Department: Bartlett School of Architecture
Workload: 100%
Duties: The post-holder will work with Principal Investigator on the project work streams: 4.A -mapping the UK infrastructure ‘fitness landscape’ and 4.D- identifying areas for development investment
Minimum Requirements: Candidates will have excellent knowledge of urban modelling, statistical tools and applying spatial analysis methods, as well as being knowledgeable in handling spatial data

Deadline: September 27, 2018 | Published: September 14, 2018   08:52              

Department: Barts Cancer Institute
Duration: 3 y        Workload: 100%
Duties: We seek highly motivated scientists with expertise in computational biology and bioinformatics. This multidisciplinary team funded by the recently awarded Cancer Research UK Programme Grant, will focus on the impact of the epitranscriptome on haematopoietic stem cell (HSC) biology and leukaemic stem cell functions in acute myeloid leukaemia (AML). The group will investigate how specific RNA modifications control HSC biology and leukaemic transformation, and exploit these mechanisms to expand clinically-relevant HSCs and identify therapeutic targets to eradicate leukaemic stem cells in AML
Minimum Requirements: Essential requirements for this post include a PhD in a relevant biological subject and an undergraduate degree in a biological subject. Significant research experience in bioinformatics and computational analyses of various ‘omics’ datasets and experience of analysis of high-throughput data such as RNA-seq, ATAC-seq, ChIP-seq, m6A-seq, Ribo-seq, and proteomics, is essential. Experience in the field of Cancer biology, RNA biology/epitranscriptome and an appropriate publication record would be an advantage. A demonstrated ability to communicate well, work within a team and maintain good laboratory records are also essential

Deadline: October 13, 2018 | Published: September 14, 2018   07:01              

Department: Institute of Epidemiology and Primary Care
Workload: 100%
Duties: The post focuses primarily on economic evaluations and decision modelling alongside randomised controlled trials and provides a unique opportunity for a researcher in health economics who would like training and hands on experience of economic evaluations using trial data
Minimum Requirements: Applicants should have a background in health economics, decision modelling, statistics and/or clinical trials. Some experience in epidemiology and/or health care related research would be an advantage. The post-holder will be primarily based at the Royal Free Campus in the Department of Primary Care and Population Health. They will also be expected to regularly attend meetings at the Bloomsbury campus

Published: September 14, 2018   06:48              

Workload: 100%
Duties: The role covers all data necessary to enabling the processes and activities that deliver the Unit's business targets. Applications for the role are encouraged from both fully qualified and less experienced candidates. The University’s Academic Related Trainees Procedure would apply in some cases; further details would be provided at interview stage
Minimum Requirements: A relevant degree or equivalent higher education qualification (ideally maths/statistics/economics). Relevant SAS certifications (eg Base Programmer, Predictive Modeller, Statistical Business Analyst, Integration Developer etc). Experience in a data analyst role working in marketing function in a large and complex organisation with multi-million volume of segmented, multi-channel contacts per year. Demonstrable evidence of actively developing and generating performance metrics and reporting to support the achievement of marketing campaign objectives. Experienced in using SAS, SQL, VB and Microsoft Excel. Substantial experience of querying and selecting data using multiple applications. Applied experience of Data Protection and marketing data management best practice. Highly numerate, data literate and analytical. ‘Can do’ approach, with a proactive, inquisitive mind-set; energetic and committed. Ability to develop relationships with key decision makers and stakeholders – seeing t...
Preferred Requirements: A relevant professional marketing/data management qualification eg IDM certificate. SAS Advanced Programmer

Deadline: September 26, 2018 | Published: September 14, 2018   00:19              

Duration: 2, 5 y        Workload: 100%
Duties: To develop an industrial scale prototype train cab front cleaning robot, addressing the requirements of the railway industry, including H&S issues, cleaning quality assurance and cleaning productivity. This role will focus on the control systems design challenges of the project and will work closely with another KTP Associate who will focus on the mechanical aspects of the project
Minimum Requirements: Masters level degree in control, mechanical or electrical engineering or closely related subject. Experience of working on industry/university partnership projects. Experience of preparing and publishing academic papers. Experience of working with robotics systems as well as industrial control systems (PLC). Software development skills in a language such as Java, C++, C# or Python. Servo systems/controller knowledge. PLC knowledge (such as Siemens simatic). 3D mechatronics/robot design using: Catia, (or similar CAD software); MATLAB/Simulink or LABVIEW. Knowledge of systems design principles. Analytical problem solving skills. High level of spoken and written English. Strong oral, visual and written communication and presentation skills. Good team working skills. Ability to communicate complex ideas and concepts effectively. Self-motivated, able to work independently and across teams
Preferred Requirements: MRes, MPhil or PhD in control engineering discipline, mechatronics or closely related subject. Experience with Robot Operating System (ROS) middleware. Experience of development of new robotics systems. Experience on working on railway research projects. Active in interacting with industrial and academic partners. Highly adaptive to the needs of the situation

Deadline: October 14, 2018 | Published: September 13, 2018   23:51              

Department: Computer Science
Duration: 2+ y        Workload: 100%
Duties: The post will be funded by a prestigious Wellcome Trust Collaborative Award “TREAT-HD: targeting neurodegeneration in Huntington’s disease” (PI: Prof Sarah Tabrizi) which seeks to further our understanding of neurodegeneration using HD as a model disorder. The project is driven by three key aims: i.to link with the first human clinical trial of an antisense oligonucleotide (ASO) or ‘gene silencing’ therapy in HD, sponsored by Ionis Pharmaceuticals, to answer critical questions about neuropathological mechanisms and their response to therapy using state-of-the-art techniques and analysis
Minimum Requirements: The post holder will have an exciting opportunity to advance microstructure imaging using multimodal MRI data and to apply these advances to help decipher neurodegeneration using the unique datasets acquired as part of this first-of-its-kind study (Aims i and iii). The successful candidate will be working closely within a world-class multi-disciplinary team involving the UCL HD Research Centre, directed by Prof Tabrizi, and the research group of Prof Geraint Rees (UCL Wellcome Centre for Human NeuroImaging). Applicants must have, or expect to obtain, a PhD in a relevant discipline. Strong maths and programming skills are essential, as well as a good publication record in relevant journals. Previous experience with quantitative MRI, image analysis, mathematical modelling, optimization, software engineering and matlab are all advantageous. The appointment will be made to the Research Associate (Grade 7) salary scale, according to qualifications, skills and experience, and be funded initi...

Deadline: September 24, 2018 | Published: September 13, 2018   16:26              

Department: School of Electronic Engineering & Computer Science
Duration: 33 m        Workload: 100%
Duties: The main responsibility of the post will be analyzing the data about anaphora and anaphoric ambiguity already collected using the Phrase Detectives game (over 4.5 million judgments) and those that will be collected through a range of games under development, identifying the main sources of disagreement among our players, and use the insights thus obtained to push forward our understanding of the linguistics of anaphora and the state of the art in computational modelling of anaphora resolution
Minimum Requirements: The successful candidate will hold a PhD with a focus on computational linguistics/NLP, theoretical linguistics, or machine learning for NLP. A strong background in theoretical linguistics in general and semantics in particular, ideally with a focus on anaphora, is essential. Demonstrable skills in using computational and machine learning methods to analyse large amounts of linguistic data and developing computational models of semantic/discourse interpretation (ideally, anaphora resolution or coreference), also essential
Preferred Requirements: Strong programming skills, particularly in languages used in CL/NLP such as Python, Perl, Java, R. Familiarity with languages for building NNs such as Tensor Flow a definite plus. The candidate is also expected to have excellent analysis and abstraction skills, and an interest in working in a research environment

Deadline: October 14, 2018 | Published: September 13, 2018   16:22              

Duration: 3 y        Workload: 100%
Duties: This is an exciting opportunity for a doctoral graduate to develop a novel IoT edge analytics platform for recording human or animal activity using complex analytics to interpret signal data locally and provide real-time contextualized responses; providing secure and personalized monitoring of e.g. vulnerable people, using low-cost IoT devices
Minimum Requirements: You will have a PhD in Computer Science or a Mathematics based subject involving mathematics and computing. You should have a strong foundation in data science and data analytics including experience with machine learning algorithms. Strong problem solving and analytical skills with experience of using MATLAB and Python. Experience in developing advanced machine learning tools for complex datasets. Knowledge/experience of programming and analytics practices for development software for embedded hardware/IoT devices would be an advantage

Deadline: October 5, 2018 | Published: September 13, 2018   14:23              

Department: UCL Department of Computer Science
Duration: 4 m        Workload: 100%
Duties: The position will involve analysing a large dataset and designing new visualisation interventions that can be tested in Great Ormond Street Hospital’s new Living Lab. The aim of the project is to enable clinicans to ask meaningful questions of data they have access to, develop new knowledge and deeper understanding, supported by appropriate data analytic methods and intuitive data visualisations. Inspired by theories of question types, our first objective is to determine how to support the transformation of data and information into knowledge, based upon which decisions can be taken
Minimum Requirements: An undergraduate or Master’s degree in Computer Science, or HCI is essential for this role. Candidates must have knowledge of research techniques, coding and data analysis/visualisation

Deadline: September 26, 2018 | Published: September 13, 2018   08:20              

Department: Crop Genetics
Duration: 27 m        Workload: 100%
Duties: Project title: "Retaining the Ashes: The potential for ash populations to be restored following the dieback epidemic". Main purpose of the lob: analyse the role of secondary metabolites in the susceptibility of European ash trees to dieback and other stresses. The focus will be firstly on combining transcriptomics with metabolomic data to infer synthetic pathways of compounds of interest, and secondly on combining 'omics' data with results of experiments on pathology and entomology. The researcher will have the opportunity to participate in transcriptomics experiments and in pathology and entomology trials
Minimum Requirements: Applicants should have a PhD in bioinformatics or a related subject. They should have successful experience of transcriptome analysis and statistical analysis of biological data. Knowledge and experience of metabolome analysis, pathology and entomology are desirable, as is practical experience of transcriptomics

Deadline: October 1, 2018 | Published: September 12, 2018   22:35              

Workload: part-time
Duties: Well-Travelled Clinics is a subsidiary company of Liverpool School of Tropical Medicine and is a dedicated travel health specialist clinic, providing pre- and post-travel assessment, advice, vaccinations, medication and treatment. You will be responsible for carrying out individualised risk assessments to travellers, providing up to date, evidence-based information, advice and education to clients of the travel clinic and assisting with the maintenance of quality standards within the clinic. Providing knowledgeable travel advise to clients, you will administer vaccinations and assist with taking samples in accordance with Patient group directions (PGDs) and patient specific directions (PDDs)
Minimum Requirements: The successful candidate will be a Registered Nurse, with at least one year’s post registration experience. Some experience of giving injections is essential, and immunisation experience is desirable, however full training will be provided. Excellent oral and written communication skills and the ability to relate to a wide range of people and explain information simply is required. You should have an understanding of and a commitment to providing high standards of client care

Deadline: September 23, 2018 | Published: September 12, 2018   22:01              

Department: Faculty of Science
Duration: 6 m        Workload: part-time
Duties: Contribute as a member of the teaching team to the delivery, administration and assessment of elements of programmes delivered within the Faculty of Science and undergraduate and postgraduate level. To provide pastoral support to undergraduate and postgraduate students in the form of tutorials
Minimum Requirements: Specialist breadth and depth of knowledge in the subject area to be taught. Recent specific experience in the subject area to be taught. Experience of assessing students’ work at undergraduate and/or postgraduate level, and of providing feedback on assessment. Good teaching, communication, presentation and IT skills. Able to work effectively as part of a team. Able to work to deadlines. A good first degree (or equivalent) in a relevant discipline. Enthusiasm for subject and ability to motivate students. Personal initiative. Commitment to work in an HE environment. Flexible attitude to work. Good attendance record
Preferred Requirements: Teaching experience in an HE setting at undergraduate and/or postgraduate level. Ability to reflect on practice and the development of own teaching and learning skills. Masters/PhD degree in a relevant subject discipline. PgCert in Teaching and Learning in FE/HE

Deadline: September 26, 2018 | Published: September 12, 2018   07:38              

Department: Institute of Epidemiology and Health Care / Department of Statistical Science
Duration: 1+ y        Workload: 100%
Duties: Applications are invited for an exciting new post in statistical methods in health economics to join the growing number of statisticians and health economists at UCL and its partner institutions. The post is an exciting opportunity for a researcher with a strong background in statistical methodology in health economic evaluations who would like to grow that skill set further
Minimum Requirements: Applicants should have a background in statistics (preferably with experience in Bayesian modelling), health economics, decision modelling and/or clinical trials

Deadline: October 14, 2018 | Published: September 12, 2018   06:32              

Department: Department of Computer Science
Duration: 32 m
Duties: The main focus of this job is to research and develop novel algorithms for reconstructing the 3D geometry of the environments from the captured imagery by extending multi-view geometry/photogrammetry techniques to handle dynamic 360° environments. Alongside the standard duties of performing research, and its dissemination through publications and presentations, the candidate will also be expected to be involved in the supervision of PhD students and may have some teaching duties at undergraduate or graduate level
Minimum Requirements: PhD in Computer Vision, Computer Graphics, Robotics or a strongly related discipline. Excellent background knowledge of standard computer vision, graphics and geometry approaches. Evidence of published research in high-quality peer-reviewed journals and/or conferences. Track record of production of clean and robust research code. Demonstrated significant depth and breadth of specialist knowledge of subject matter (structure-from-motion, multi-view geometry and stereo, geometry processing, and/or SLAM). Strong programming skills in C++ and/or Python. Strong mathematical ability (particularly linear algebra). Excellent oral, interpersonal and written communication skills. Ability to conduct individual research work. Ability to organise and prioritise own workload. Ability to write research reports and to effectively disseminate outcomes. Innovation and developing creative solutions. Commitment to excellence in research. Enthusiasm and self-motivation. Able to plan and deliver work to mee...
Preferred Requirements: Experience with video post-production pipelines and workflows. Experience with SfM/MVS/SLAM software and research code. Teaching experience and interest. Post-doctoral experience. Ability to prepare research proposals. Use of industry-standard software (Nuke, Premiere, After Effects)

Deadline: October 14, 2018 | Published: September 12, 2018   00:49              

Duration: 1 y
Duties: Based in the Energy and Power Division, you will work within an EPSRC-funded project to examine the control and performance of grid-linked energy storage assets at the equipment level and also on the wider grid scale. Using our state-of-the-art energy storage facilities, you will research electrochemical energy storage system design, operation and optimisation, and grid-wide control and coordination. Our facilities include a Siemens SieStorage, grid-linked, lithium-ion energy storage system, a high-power battery life-cycle test system and a real-time digital simulator (RTDS)
Minimum Requirements: You will hold, or be about to obtain, a PhD in electrical engineering and must have practical experience of electrical equipment or systems, including experimental validation, computer modelling and simulation. Familiarity with the modelling and testing of grid-linked energy storage systems would be a distinct advantage. You will be able to interact effectively with researchers from other disciplines and industrial partners

Deadline: October 8, 2018 | Published: September 11, 2018   16:54              

Department: Department of Business Transformation
Workload: 100%
Duties: This is part of an ambitious effort to develop a world-class group of scholars who will make significant contributions to the various facets of management research on business analytics. The role should have the view that a business is transformed by applying Business Analytics techniques. We are looking for people interested in theoretical expertise in Machine Learning, Artificial Intelligence, Big Data and Forecasting
Minimum Requirements: Candidates should hold a relevant doctoral degree and be from a Mathematics, Data Science, Computer Science, Finance, Econometrics or Industrial Engineering. Candidates should demonstrate their ability and interest to conduct novel empirical research on phenomena that are important to Business Analytics and Transformation. We are particularly interested in candidates who studied AI, big data, machine learning and visualisations while having developed an understanding of how the technology can contribute to decision making and insights in a business environment

Deadline: October 19, 2018 | Published: September 11, 2018   13:39              

Department: Department of Medical Physics & Biomedical Engineering
Duration: 2+ y        Workload: 100%
Duties: The Department of Medical Physics & Biomedical Engineering is looking to appoint a Research Fellow in Biomedical Optics in the Biomedical Optics Research Laboratory (BORL). The purpose of this post is to play a central role in the first applications of a new generation of wearable optical neuroimaging technologies. At BORL, we have developed several high-density, wearable diffuse optical tomography (DOT) systems that lead the field in terms of sensitivity, usability and image quality, and allow high-quality functional neuroimaging data to be obtained in a whole range of new experimental environments
Minimum Requirements: Candidates are expected to have a PhD or be about to submit a PhD in Medical Physics, Biomedical Engineering, Neuroimaging, Neuroscience, Psychology or a related subject. Extensive experience in the processing and interpretation of complex/multi-modal neuroimaging datasets, specifically using Matlab and matlab-based toolboxes and an excellent publication track-record are also essential

Deadline: October 6, 2018 | Published: September 11, 2018   08:18              

Department: MRC Biostatistics Unit
Duration: 3 y        Workload: 100%
Duties: Under the general leadership of the Programme Leader, to be responsible for all aspects of the research projects, including defining the direction of the work, conducting the research, analysing the data, preparing the work for publication and disseminating the results at meetings. To present their work at seminars within the Unit and at external meetings. To contribute to unit-wide discussions on developments within the Unit, particularly in the use of new techniques. To identify, develop and apply a broad range of techniques to pursue the research objectives
Minimum Requirements: Good knowledge of statistical theory, statistical software and programming (preferably in the R statistic software environment). PhD (or equivalent) in Statistics or a relevant subject or be in the final stages of obtaining their PhD. Experience in presenting scientific work, both written and orally
Preferred Requirements: Experience in methods development. Experience of leading an applied epidemiology analysis. Experience in the application of novel methods to complex epidemiological questions. Understanding of principles of causal inference. Experience of working with genetic data. Experience of running extensive simulation studies. Experience of implementing Bayesian modes of inference applied to large datasets. Relevant post-doctoral experience. Has made contributions to scientific papers. Has presented work at conferences. Ability to communicate to statisticians and non-statistical scientists

Deadline: October 1, 2018 | Published: September 9, 2018   23:48              

Duration: 1 y        Workload: 100%
Duties: Develop ILRR data assets including advising on and project managing the implementation of further waves of the North West Coast Neighbourhood Panel Health Survey and using local and national routine data ( e.g NHS, Local Government and commercial and third sector datasets), to develop data products that support CLAHRC research. Facilitate access to ILRR datasets including implementing ILRR data governance procedures. Work closely with a wide variety of stakeholders including, academics, clinicians, NHS, local government and third sectors organisations and members of the public – to involve them in co- producing feasible robust analysis plans
Minimum Requirements: Experience of manipulating multiple large complex datasets including data linkage, data management and data cleaning. Experience using advanced quantitative methods using complex data to answer applied research questions. Experience of quantitative research methods including an ability to handle large datasets using advanced statistical packages and methods (e.g. R or Stata). Experience of report writing including academic papers. Experience of working with external stakeholders from diverse backgrounds including members of the public and service users. Experience of managing research projects. PhD or equivalent in a relevant area (submitted or awarded) including public health, psychology, epidemiology, economics geography, psychology, health service research, computer science, statistics). Understanding of issues related to the measurement of mental and physical health and the determinants of health. Understanding of issues related to the design implementation and analysis of complex ...
Preferred Requirements: Experience of designing, managing and implementing complex social surveys. Track record of publication on a topic related to public health or health services. Experience of accessing and analysing HES, NOS or similar health or socioeconomic databases. Experience with SQL - designing, constructing and/or analysing large databases e.g. MySQL or PostGres. Web programming languages. including JavaScript, PHP, HTML. Other development languages – Python or Ruby. Skills in the application of quasi-experimental methods such as: Propensity score matching; Interrupted time series; Regression Discontinuity; Difference- in- Differences

Deadline: October 2, 2018 | Published: September 9, 2018   23:43              

Department: Nuffield Department of Population Health
Duration: 2 y        Workload: 100%
Duties: Develop software. Build robust feature extraction methods. Take major decisions about technical architecture (Grade 8 only). Collaborate within cross-disciplinary teams and international academic and industrial consortia. Lead the software engineering for specific pieces of infrastructure, setting targets, allocating resources, monitoring progress and reporting outcomes (Grade 8 only). Take ultimate responsibility for the scientific validity, code quality, and technical deliverables for those projects (Grade 8 only). Clean, verify the quality of, and transform, large data sets. Ensure quality assurance and governance processes are adhered to when necessary
Minimum Requirements: BSc or MSc in Computer Science, Maths, Physics, Engineering, or equivalent field. Substantial experience of software engineering, having built and maintained projects of significant size (Grade 8 only). Flawless knowledge of Python and at least one JVM language. Able to solve complex problems with elegant code. Can demonstrate instances of having personally solved significant scientific problems using data science methods. Incredible attention to detail and drive for both precision and code quality. Able to collaborate effectively in a development team, sharing code openly, pair programming where helpful, but also able to sustain longitudinal focus on independent tasks. Mastery of appropriate software engineering tools and methodology, such as Git, Agile methods, and automated testing. Extensive knowledge of components from the Apache Big Data stack relevant to building real-time solutions (Grade 8 only). Able to architect sound relational and non-relational data structures. Able to pr...
Preferred Requirements: iOS and Android App development experience. Web development experience. Experience with a range of statistical methods including: generalized linear models, linear mixed effects models including crossed and nested random effects, latent growth modelling, mixture models, and hierarchical Bayesian modelling. Contribution to Open Source projects. Experience in signal processing. A passion for building digital health projects that make a difference

Deadline: October 10, 2018 | Published: September 9, 2018   17:29              

Department: MRC Weatherall Institute of Molecular Medicine
Duration: 3 y        Workload: 100%
Duties: Develop and establish novel methodologies and maintain and improve existing pipelines in collaboration with members of research team. To provide computational and statistical analysis and plans for studies and to contribute to the overall planning of the studies. To advise and assist lab and other group members working on relevant project. Conduct detailed analysis of datasets. Identify and troubleshoot technical or scientific problems, working collaboratively with database experts and scientific programmers. Contribute to manuscripts, presentation and other means of disseminating results
Minimum Requirements: Ph.D. in a relevant subject and strong background in at least one of Computer Science, Statistics, Machine-Learning and Bioinformatics. Excellent programming skills in at least one programming languages preferably python and/or R. Ability to develop novel computational methods, algorithms and data processing pipelines. Excellent communication and presentation skills. Willingness to work closely with experimentalists. Demonstrable experience, ability and practical success in biostatistics or bioinformatics. Proven record of scientific publications in relevant subjects. Proficiency in the use of statistical programming languages. Demonstrable ability to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule. Ability to advise and influence the work of others. Ability to draft section of manuscripts for publication and present statistical results at conferences. Ability to independently plan and mange research projects as well...
Preferred Requirements: Experience of working with patients’ high throughput genomics and transcriptomics data. Knowledge in single cell technologies and their associated challenges, in particular, their applications in immune repertoire profiling. Familiarity and knowledge of immune data types including TCRs, BCRs and antigen proteomics, available data repositories and existing tools specifically designed for these types of data. A solid background in cancer immunology. Demonstrable ability of working under pressure to meet the tight deadlines

Deadline: October 3, 2018 | Published: September 9, 2018   17:27              

Duration: 1        Workload: 100%
Duties: Contribute to the programming of cooperative robots that interact with humans efficiently and productively. Develop suitable program architectures in QuLog/TeleOR or Prolog/C++suitable for industry applications such as semi-autonomous materials handling, disposal and storage. Comply with code writing conventions and present them to colleagues in a clear and concise manner. Conduct research to contribute to the development of anticipatory robot behaviour in human robot interactions for the nuclear industry. Analyse the results of the conducted research
Minimum Requirements: A PhD degree (or close to completion) in computer science, engineering, or mathematics (or equivalent experience). Experience in developing reasoning processes and communications in multi agent robotic systems and in human robot interactions with a substantial publication record in this area. Experience in one or more of the following professional skills: Use of Prolog; Use of Qulog; Use of TeleOR; Use of Python. Effective communication skills, both written and verbal, including report writing skills. Ability to work effectively with colleagues and external industrial partners. Ability to develop creative approaches to programming solutions. Ability to plan work effectively to project timescales and produce project deliverables on time. Effective time management skills. Experience of adapting own skills to new circumstances

Deadline: October 5, 2018 | Published: September 9, 2018   17:23              

Duration: 3 y        Workload: 100%
Duties: To develop new image processing tools for analysing cancer histological images through programming in Python, Matlab, C or equivalent language. To use statistical tools for further analysis of data generated from image analysis. To contribute to the publication of high quality research in the form of papers, patents, and presentations at meetings. To work independently on a defined project and as part of a team, and to consult when appropriate. To communicate effectively with other members of the team and collaborators, where necessary, ICR and outside organisations
Minimum Requirements: PhD in computer science, statistics, engineering or related subjects. Image analysis, machine learning and statistics. Programming in Python, Matlab, C, R or equivalent languages. Good publication recordGood interpersonal skills and the ability to interact effectively with collaborators. Ability to interpret and present results in conferences. Highly self-motivated with scientific curiosity and a keen desire to produce high quality scientific data
Preferred Requirements: Knowledge in biomedicine or histology. Deep learning. Working with medical or histology images. Working in collaborative research. Good interpersonal skills and the ability to interact effectively with collaborators. Excellent communication skills. Enthusiastic to learn histological approaches

Deadline: September 23, 2018 | Published: September 9, 2018   17:21              

Duration: 3 y        Workload: 100%
Duties: Development of new methods and algorithms/pipelines to analyze data from novel high-throughput sequencing techniques. Implement new statistical modeling methods for analysis of next-generation sequencing data of immunogenomics, genomes, epigenomes, and transcriptomes derived from tumour tissue samples. Implement new analytical tools using Bayesian inference statistics, one or more of the core machine learning areas such as: ANNs, SVMs, Bayesian approaches, Markov models, Gaussian processes, game theory, decision theory, probabilistic rule-based learning. Automation and scripting of common analytical tasks. Prepare data and figures for presentations and publications
Minimum Requirements: PhD or equivalent qualification in statistics, bioinformatics, computer science, engineering, mathematics or equivalent experience in a bioinformatics role. Mathematical/statistical modelling. Degree in (bio)statistics, bioinformatics, genetics or a related field with a strong statistical/mathematical component. Programming experience in R and in any one high-level programming language (C/C++, Perl or Python). A good understanding of the concept of randomised clinical trials. Large-scale Next Generation Sequencing and transcriptomic data analysis. Regression modelling in survival analysis, development and validation of prognostic and predictive models. Working knowledge of statistical software (e.g. R, STATA, SAS). Ability to work independently, collaboratively and as part of a bioinformatics and experimental teams. Ability to work accurately, with a strong attention to detail. Excellent interpersonal skills to liaise effectively with colleagues and collaborators. Good presentation ski...
Preferred Requirements: Machine learning. Basic knowledge of *UNIX systems and shell scripting. Basic knowledge of cancer biology. Knowledge of Good Clinical Practice, the EU Clinical Trials Directive, Research Governance Framework, ICH Statistical Principles for Clinical Trials. Analysis of publically available -omics data sets. Microarray data analysi. Using UNIX systems and compute clusters. Research interest in advanced statistical models/methods to handle complex data structures arising from biological, imaging and/or genetic/genomic data and exploration of their association with clinical outcomes in the context of clinical trials data. Right to work in the UK. Experience of handling sensitive and confidential information. Motivated to publish independent research

Deadline: October 21, 2018 | Published: September 9, 2018   17:19              

Duration: 3 y        Workload: 100%
Duties: To develop new image processing tools for analysing cancer histological images through programming in Python, Matlab, C or equivalent language. To use statistical tools for further analysis of data generated from image analysis. To contribute to the publication of high quality research in the form of papers, patents, and presentations at meetings. To work independently on a defined project and as part of a team, and to consult when appropriate. To communicate effectively with other members of the team and collaborators, where necessary, ICR and outside organisations. Be familiar with ICR’s approach towards risk management including its policies and procedures, which require all staff to play an active part in identifying and managing risk
Minimum Requirements: PhD in computer science, statistics, engineering or related subjects. Image analysis, machine learning and statistics. Programming in Python, Matlab, C, R or equivalent languages. Good publication record. Good interpersonal skills and the ability to interact effectively with collaborators. Ability to interpret and present results in conferences. Highly self-motivated with scientific curiosity and a keen desire to produce high quality scientific data
Preferred Requirements: Knowledge in biomedicine or histology. Deep learning. Working with medical or histology images. Working in collaborative research. Excellent communication skills. Enthusiastic to learn histological approaches

Deadline: September 23, 2018 | Published: September 9, 2018   17:11              

Department: Public Health and Policy
Workload: 100%
Duties: We seek a lecturer with a track record in research using administrative data applied to solve health problems. The Lecturer will have knowledge of administrative data from the health sector, including information governance issues. Knowledge of additional sectors (education, retail, finance) would be an advantage. The aim of the post is to advance and widen the use of quantitative methods for research using linked administrative data, to build capacity in this area through attracting grants and contributing to teaching, and to contribute to developing the scientific strategy within the Institute of Psychology Health and Society
Minimum Requirements: The lecturer will have excellent skills in quantitative analysis using large, longitudinal administrative datasets. You should have a higher research degree relevant to health data science, applied statistics (PhD) or equivalent qualifications or experience
Preferred Requirements: Expertise in related data resources, such as cohorts, surveys or trials linked to administrative data would be an advantage

Deadline: October 2, 2018 | Published: September 9, 2018   16:53              

Department: Human Resources
Duration: 9 + m        Workload: 100%
Duties: For the first 3 months, you will be working closely with the HR Management Information Manager with day to day activities, producing monthly and quarterly reports, acting as the second line support with Business World queries, responsible for any ad-hoc requests as well as some focus on data cleansing. The latter 6 months you will be working closely with the Head of Inclusion to produce the data, tables and charts for the University’s Athena Swan application. You will be responsible for researching, analysing and presenting the data set as guided by the Head of Inclusion, to ensure they meet the submission requirements
Minimum Requirements: You will have previous demonstrable experience of successfully analysing and disseminating large and complex quantitative data sets and statistical analysis. In addition, you will have strong research skills and the ability to evaluate information and identify errors, omissions and anomalies. With previous experience of reporting clear, accurate and convincing findings in a way that is accessible to a non-expert audience, you will also be proficient in Microsoft Excel and have excellent analytical problem solving skills

Deadline: September 23, 2018 | Published: September 9, 2018   16:44              

Department: Nuffield Department of Population Health
Duration: 3 y        Workload: 100%
Duties: Design and implement statistical analyses of biochemical, imaging, genetic and other data in relation to the 0.5 million person UK and China Kadoorie Biobank projects, particularly focussing on cardiovascular disease and diseases of old age (, researching appropriate statistical methodology and software, as needed; Grade 8). Develop a well-structured system of analysis code (mainly SAS and R) that maximises reuse for efficiency, keeping detailed documentation. Develop generic systems for handling and presenting large-scale data and where appropriate make these available across wider teams within NDPH, such as to early career staff working on the Biobanks
Minimum Requirements: A good higher degree (PhD or MSc + (considerable Grade 8) relevant work experience) statistics/mathematics (or closely related subject) and (considerable Grade 8) relevant experience preferably in epidemiology/large biobanks with diverse data/genetic epidemiology. Demonstrated ability to understand and undertake statistical analyses in relation to large-scale population biobank data. Experience of undertaking and interpreting large-scale epidemiological and genetic analyses. Demonstrated efficient programming skills in a statistical language (e.g. SAS, R/SPLUS) in relation to large-scale data. Experience in developing macros/packages for widespread use. Experience of training others. Meticulous attention to detail and high levels of accuracy whilst working to deadlines. Demonstrated ability to manage time appropriately across multiple responsibilities. (Grade 8). An ability to work independently and as part of a multi-disciplinary team. Potential to progress and acquire new skills and ...
Preferred Requirements: Experience of supervising staff and students. Experience in use of genetics tools such as PLINK, QCTOOL etc. Experience in machine learning techniques. Working knowledge of both Linux and Windows. Experience of acquiring research funding

Deadline: October 10, 2018 | Published: September 9, 2018   12:34              

Department: Institute of Neurology
Duration: 9+ m        Workload: 100%
Duties: The post holder will undertake high quality research and produce high-impact publications as part of a new initiative, involving the Max Planck Society and UCL. The goal of the initiative is to exploit computational approaches to brain and behaviour to leverage insights into core deficits that underpin psychiatric disorder and cognitive change with ageing. This research project is focused on understanding the influence of emotion on decision making, using a combination of computational modelling and smartphone-based data collection. New paradigms will also be applied to the study of major depressive disorder and other psychiatric disorders
Minimum Requirements: Applicants must have a PhD in computational neuroscience (the degree must have been obtained by the agreed start date in post) and experience of conducting research in neuroscience. Experience in linear algebra, Bayesian statistics, and model-selection techniques as well as machine learning techniques and computational modelling of behaviour is essential. Applicants must have experience of programming in Matlab (and psychtoolbox or cogent, in particular), R, Python, and Javascript as well as extensive knowledge of neuroeconomics and reinforcement learning literature, and a good publication record of high quality research results. Knowledge of psychopathology and associated treatments is essential

Deadline: October 5, 2018 | Published: September 9, 2018   08:00              

Workload: 100%
Duties: Dealing with technical queries received from the client, third parties and internal clients. Analysing alternative risk profiles to assist in developing new strategies to meet client objectives. Adapting technical modelling to meet client requirements. Assisting in determining client requirements and work deliverables to meet client objectives. Checking technical accuracy, reasonableness and ‘sense checking’ your own work and that of others. You will be consistently delivering high quality work with minimal errors to the agreed timeline. Supporting senior members of staff in the research, analysis and general preparation of materials for new business proposals
Minimum Requirements: Educated to degree level. Making good progress on Actuarial, CFA and CAIA qualifications (or equivalent). Current professional experience as either an Actuary, Investment/research Analyst or consultant within Corporate finance. Strong analytical, numerical and critical thinking skills

Published: September 8, 2018   17:13              

Department: Business Transformation
Workload: 100%
Duties: The role should have the view that a business is transformed by applying Business Analytics techniques. We are looking for people with expertise in Prescriptive Analytics - Operational Research, Simulations, and Heuristics. Our department is deeply engaged with local and international businesses which provide opportunity for meaningful interaction ensuring relevant research and teaching. We are looking for someone that supports our revenue generation in the Business and Data Analytics sector (e.g. via bids, Innovate UK funding, etc.). The new person will increase the visibility of the University by supporting our Analytics Research Cluster
Minimum Requirements: Candidates should hold a relevant doctoral degree and be from a Mathematics, Data Science, Computer Science, Finance, Econometrics or Industrial Engineering. Candidates should demonstrate their ability and interest to conduct novel empirical research on phenomena that are important to Business Analytics and Transformation. We are particularly interested in candidates who studied AI, big data, machine learning and visualisations while having developed an understanding of how the technology can contribute to decision making and insights in a business environment

Deadline: October 19, 2018 | Published: September 7, 2018   18:37              

Department: Arm Research Centre of Excellence
Duration: 8 October 2018 until 7 December 2020        Workload: 100%
Duties: This unique Research Fellowship will run in direct collaboration with Arm Ltd. You will also join the Advanced Processor Technologies (APT) group within the School of Computer Science. The group has made notable contributions to the development low-power processors, interconnect technologies, chip multi-processor architectures, virtualization and binary translation, and massively parallel neural network architectures. You will be expected to work with a team undertaking novel software/hardware co-design of future IoT systems
Minimum Requirements: You will be expected to be qualified to PhD level on parallel/distributed systems and have a significant industrial research experience within the Arm IoT ecosystems, as well as capacity to be a direct link to Arm Research and Arm IoT business. Also required are: experience of understanding complex parallel software; a willingness to work flexibly in a multidisciplinary team in which roles may evolve, tasks may be changed and collaboration with Arm remote teams may require travel; the ability to give technical presentations and prepare reports/papers for publication
Preferred Requirements: Experience in writing academic papers and developing research agendas, and knowledge of, and experience with, IoT ARM-based architectures and IoT ARM software development and IoT debugging tools would be advantageous

Deadline: October 5, 2018 | Published: September 7, 2018   18:23              

Duration: 1+1 y        Workload: 100%
Duties: The aim of the project is to combine multiscale modelling of two fluid flow (water and air) with the flow of multiple solutes that are undergoing binding reactions in the fluid phase whilst simultaneously accounting for all biotic effects such as microbial biodegradation, plant solute uptake and/or exudation and biophysical effects
Minimum Requirements: Track record of producing peer reviewed publications. You need to be familiar with homogenisation theory and associated numerical techniques. PhD or equivalent in applied mathematics or computational modelling (or other numerate subject). Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded, the title of Senior Research Assistant will be assigned
Preferred Requirements: Knowledge of Comsol Multiphysics and/or OpenFoam for 3D simulations would also be useful, but not necessary, provided you can demonstrate that you would be able to acquire these skills in fast and efficient manner

Deadline: October 6, 2018 | Published: September 7, 2018   15:06              

Duration: 3-24 m
Duties: Research Fellowships are open to experienced researchers, particularly those who are or have been prevented by routine duties from completing a programme of original research. Awards are not limited to those holding appointments in higher education

Published: September 7, 2018   13:12              

Duration: - 5 y
Duties: The aim of these awards is to provide financial support for innovative and original research projects of high quality and potential, the choice of theme and the design of the research lying entirely with the applicant (the Principal Investigator). The grants provide support for the salaries of research staff engaged on the project, plus associated costs directly related to the research proposed, and the award is paid directly to the institution at which the applicant is employed

Published: September 7, 2018   13:09              

Duration: 3-12 m
Duties: International Academic Fellowships provide established researchers with a concentrated period based in one or more research centres outside the UK. The intention of the scheme is to provide opportunities to develop new knowledge, skills and ideas, and may for example be used for the following: observing and learning groundbreaking techniques or practices; developing new lines of research through overseas collaboration; making 'discipline-hopping excursions' into new areas of research; developing innovations in teaching; exchanging ideas

Published: September 7, 2018   08:29              

Duration: 2+ y
Duties: As a Data Scientist (KTP Associate) you will work closely with the Data Science and Routing teams at Ocado, as well as your Academic Supervisor at Essex to deliver the project described above. You will be expected to perform appropriate analyses, write up results for both technical and business audiences, design and develop prototype solutions and finally work with Ocado's software developers to ensure that the research leads to a well written application deployed in production
Minimum Requirements: MSc in Operational Research, Mathematics, Computer Science or a related discipline. Good theoretical and applied knowledge in optimization, including linear programming, combinatorial optimization, dynamic programming and stochastic process. Good knowledge of mathematical methods for data science, including foundational topics such as calculus, linear algebra and statistics. Good knowledge of programming platforms and languages (e.g. Java/Python/C++)

Deadline: October 2, 2018 | Published: September 7, 2018   00:50              

Department: School of Computing
Duration: 2 y        Workload: 100%
Duties: To develop signal processing algorithms to analyse electroencephalogram signals obtained from volunteer subjects during perception of different LED based brake lights in order to accurately measure the recognition ability and using this to improve the design of brake lights. The main objective of such a technology would be to use the characterised factors to promote faster driver perception, allowing manufacturers to develop new LED based brake light designs in future that are safer
Minimum Requirements: PhD (or nearing completion of study for one) or equivalent, in Computer Science, Engineering, Mathematics, or a closely related discipline, especially with research interests in practical applications of technologies (e.g. signal analysis, data mining/machine learning, information retrieval, and statistics), or other related topics. In-depth knowledge and hands-on experience with practical applications of EEG and/or fNIRS technologies with visual stimulus. Excellent signal processing and machine learning knowledge and excellent Matlab programming skills

Deadline: October 2, 2018 | Published: September 6, 2018   23:14              

Department: Mathematics
Duties: The postholder will undertake research, teaching, administration and other activities supporting the work of the Department and developing and enhancing its reputation, both internal and external to the University
Minimum Requirements: Possession of a PhD. Strong research potential with the ability to initiate, develop and deliver high quality research and to publish in peer reviewed journals. Excellence in published work in relevant fields. Ability to teach undergraduate and postgraduate students in lectures, tutorials, seminars and practical classes. Ability to initiate development in the curriculum and to take responsibility for the effective and efficient delivery of teaching programmes. Ability or potential to generate external funding (grants, contracts etc) to support research projects. Good effective communication (oral and written) skills, presentation and training skills. Good interpersonal skills. Ability to work independently and as part of a team on research and teaching programmes. Evidence of excellent teaching and lecturing at University level (Associate Professor)
Preferred Requirements: Evidence of excellent teaching and lecturing at University level (Assistant Professor). Potential to make socio-economic impact

Deadline: October 21, 2018 | Published: September 6, 2018   22:50              

Duration: 1-2 y
Duties: Offering maintenance and research expenses to allow applicants to spend a period of 12 to 24 months on advanced study or research at a centre of learning in any overseas country (excluding the USA). Non-UK residents are not eligible

Published: September 6, 2018   10:41              

Duration: 4-5 y
Duties: The aim is to support talented scholars who have successfully launched a university career but who need to build a research team of sufficient scale to tackle a distinctive research problem. This creates an opportunity for the development and demonstration of research leadership; that is, for the direction of a modest team or group, whose research may significantly change the established landscape in a particular field of inquiry. Each institution is limited to one bid only

Published: September 6, 2018   08:20              

Duties: The aim is to support talented scholars who have successfully launched a university career but who need to build a research team of sufficient scale to tackle a distinctive research problem. This creates an opportunity for the development and demonstration of research leadership; that is, for the direction of a modest team or group, whose research may significantly change the established landscape in a particular field of inquiry. Each institution is limited to one bid only

Published: September 6, 2018   08:16              

Department: Statistical Science
Duration: 4 y
Duties: This project will address the major contemporary challenges around model validation and success control in decision making, in: Theory of quantitative model comparison and automated model building, with a focus on heterogeneous, structured or hierarchical modelling tasks such as for panel or spatio-temporal data. Software engineering of automated modelling and model validation workflows implemented as modular toolbox environments in R and/or python. Deployment in real world applications in the energy, engineering, and health domains, and development of best practices and experimental validation principles
Minimum Requirements: The requirement for admission to the MPhil/PhD in Statistical Science is a 1st class or high upper 2nd class Bachelor’s degree, or a Master’s degree with merit or distinction in Mathematics, Statistics, Computer Science, Engineering or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable

Deadline: October 31, 2018 | Published: September 6, 2018   08:09              

Department: Chemistry
Duration: 3 y        Workload: 100%
Duties: The project will require fundamental methodological developments, their implementation in the ChemShell code and applications to modelling reactivity of transition metal doped zeolites with a focus on transition metal controlled nitrogen chemistry in zeolite and protein environments. We are seeking a talented computational scientist to work on development and applications of hybrid Quantum Mechanical/Molecular Mechanical embedded cluster approaches to modelling spectroscopic signatures and reactivity of heterogeneous catalysts
Minimum Requirements: The successful candidate will have a PhD degree or equivalent - or will have submitted their thesis prior to taking up the position - in Physics, Chemistry, Materials Science or a related discipline, with a strong research record in theoretical, computational or mathematical physics, chemistry, materials science or applied mathematics, and an expertise of modelling either solid-state or molecular systems. Good experience in scientific coding will be essential for the role as will be a proven track record in mathematical modelling and theory development. Candidates selected for interviews will be asked before the interview to provide an extended code sample from their previous research project along with a brief (1-page) description of the algorithm and programming solution used, and be prepared to explain during the interview the algorithmic decisions. During the interview candidates will also be expected to discuss the topic of hybrid QM/MM techniques with a focus on applications to f...

Deadline: October 6, 2018 | Published: September 6, 2018   08:01              

Department: Sainsbury Wellcome Centre
Duration: 3+ y        Workload: 100%
Duties: The Margrie lab is now looking for an outstanding postdoctoral researcher to join the team and provide specialist support as a data expert. You’ll create, manage and maintain analytical pipelines and manage the catalogued storage of raw and analysed data. You’ll work closely with the SWC IT team to ensure the lab’s data storage is compatible with SWC’s overall infrastructure, and you’ll provide lab colleagues innovative computing solutions for experimental research
Minimum Requirements: You will have a PhD in Neuroscience or a cognate area in software engineering with a strong affinity for biology and fundamental research, and experience in analysing neurophysiological phenomena. You’ll be fluent in data programming language (Python, MATLAB, R etc) and be experienced with coding best practices (including version control testing) and digital image processing. Strong communication and presentation skills, along with excellent analytical skills and a good understanding of statistics are essential. Experience with machine learning techniques, digital electronics and 3D CAD software would be highly desirable. Candidates wishing to be appointed as a Senior Research Associate at Grade 8 would be expected to demonstrate experience of guiding and supervising a small team of researchers and laboratory support staff

Deadline: October 5, 2018 | Published: September 5, 2018   10:07              

Department: School of Law and Politics
Workload: 100%
Duties: To conduct research within the field of Brexit research, primarily using quantitative methods - statistical analysis of survey data – and with a focus on territorial governance and national identities across the United Kingdom as well as contributing to the overall research performance of the School and University, carrying out research leading to the publishing of work in high-quality journals. To pursue excellence in research and to inspire others to do the same
Minimum Requirements: Postgraduate degree at PhD level (or nearing completion/submission) in a related subject area or relevant industrial experience. An established expertise and proven portfolio of research and/or relevant industrial experience within the following research fields: i. Preparation of public attitudes survey data for analysis and multivariate modelling of survey data, to include a range of method, such as a variety of forms of regression analysis, factor analysis, principle component analysis; ii. UK politics, such as election and public opinion research, Westminster politics, devolved politics, the politics of national identities, the politics of citizenship. Knowledge of current status of research in specialist field
Preferred Requirements: Relevant professional qualification(s). Evidence of collaborations with industry. Proven ability to adapt to the changing requirements of the Higher Education community. Evidence of ability to participate in and develop both internal and external networks and utilise them to enhance the research activities of the School

Deadline: October 4, 2018 | Published: September 4, 2018   17:44              

Department: Institute of Neurology
Duration: 3+ y        Workload: 100%
Duties: We are seeking suitably qualified postdoctoral Research Associates interested in combining computational modelling with smartphone-based data collection in samples of tens of thousands of people. Projects will focus on decision making and behavioural change, and where appropriate development of a neuroimaging component (fMRI/MEG) or testing in clinical settings will be encouraged
Minimum Requirements: Applicants must have, or be close to obtaining, a PhD in neuroscience, psychology, or a quantitative field, eg, Computer Science, Engineering, Physics (the degree must have been obtained by the agreed start date in post). Those with a background in computational neuroscience may be especially suited for this position. Expertise using computational approaches in the study of reinforcement learning and decision making or expertise with machine learning techniques, and proficiency in data analysis, are essential. Experience in fMRI and/or MEG, an interest in statistical methods and in contributing to research in psychiatry, and a good publication record of high quality research results are desirable

Deadline: October 4, 2018 | Published: September 4, 2018   14:03              

Department: Quality Engineering
Duration: 3 m        Workload: 100%
Duties: Extend your software development and test automation skills working on tests and test tools for qualifying parallel computing and deep learning MATLAB features. You will work closely with a mentor within our Parallel Computing Toolbox Software Engineering in Test team here in Cambridge to define and execute a project that aims to: grow your software engineering and test automation skills; give you experience of the full commercial software development process; contribute directly to MathWorks automated testbed
Minimum Requirements: Candidates must be pursuing a master's level or a PhD level degree in a technical discipline. Knowledge of object oriented programming. Experience with MATLAB. Interest in automation and testing
Preferred Requirements: Familiarity with parallel/distributed/cloud computing or deep learning would be an advantage

Published: September 3, 2018   20:57              

Duration: 3 y        Workload: 100%
Duties: The overall aim of this post is to work within the multidisciplinary research team to provide a high level of quantitative expertise to support the delivery of studies relevant to musculoskeletal problems in primary care. This work is directly linked to the NIHR Research Professor of General Practice's programme of research. You will use quantitative methodology to analyse epidemiological data from big data sets (e.g. CPRD) other consultation based datasets and epidemiological surveys. Clinical areas will predominately focus on gout, polymyalgia rheumatica, rheumatoid arthritis and osteoarthritis
Minimum Requirements: You will have a PhD or equivalent in statistics, epidemiology, public health or quantitative research methods and possess in-depth experience in the design, conduct, analysis, write up, and presentation of quantitative research. You will have a track record of publication in high quality journals, work well within a multidisciplinary research team and have demonstrable organisational skills

Deadline: September 21, 2018 | Published: September 3, 2018   20:43              

Department: Surgical Sciences
Duration: until 31 March 2020        Workload: 100%
Duties: Quality in Organ Donation (QUOD) Programme concerns a national UK bioresource in organ donation and transplantation integrating matching clinical data and scientific technology platforms. The aim is to improve the quality of organs retrieved for transplantation through better understanding of mechanisms of injury and feasible targeted strategies to repair donor organs. You will be responsible for supporting the data management infrastructure of the QUOD Programme and for co-ordinating data retrieval in close collaboration with research groups and NHSBT, who maintains the UK Transplant Registry
Minimum Requirements: You will have a background in a quantitative discipline to degree level, a good working knowledge of statistics and relevant software, and ability to produce custom computer programming scripts and manage concurrent projects. It is also important if you had previous experience in bioinformatics research and desirable that you had management experience in an academic environment

Deadline: October 1, 2018 | Published: September 3, 2018   20:40              

Department: Infectious Disease Epidemiology
Duration: until 31 March 2021        Workload: 100%
Duties: The post holder will work on a project studying transmission of emerging infections, and design of vaccine trials during outbreaks. Emerging infectious diseases, including the priority pathogens identified by WHO and others, can cause outbreaks in populations. There is little information on the transmission dynamics of some of these infections, and consequently little understanding of how to evaluate vaccines in phase 3 efficacy trials, should vaccines become available. This post involves design of transmission models for emerging diseases and fitting those models to available data. The post-holder will use transmission models to simulate and evaluate phase 3 vaccine trials for diseases under study
Minimum Requirements: The ideal candidate will hold a PhD in mathematical modelling, statistics, or a quantitative discipline with a substantial component on infectious disease transmission, have expertise using specialist mathematical or statistical packages, ideally C/C++ and R and also be familiar with statistical approaches for model fitting and inference (e.g. MCMC, particle filtering etc). The ideal candidate will have a publication record in the field of modelling or statistical analysis of infectious diseases
Preferred Requirements: Experience of evaluating vaccines would be an advantage

Deadline: October 2, 2018 | Published: September 3, 2018   20:13              

Department: Mathematical Modelling of Infectious Diseases
Duration: 3 y        Workload: 100%
Duties: The post holder will work on a large project to evaluate Ebola vaccine trials and vaccination strategies. The post involves analysing individual level social network data from Ebola-affected communities, and investigating the transmission of Ebola Virus Disease. The post-holder will quantify network characteristics from raw data, and use insights from these data to design and simulate phase 3 vaccine trials. This work will involve development and parameterisation of vaccination models that incorporate onset of immunity in vaccinated participants. There is scope for self-motivated research within the remit of the larger study
Minimum Requirements: The ideal candidate will hold a PhD in mathematical modelling, statistics, network science or quantitative discipline with a substantial component on infectious diseases, have expertise using specialist mathematical or statistical packages, ideally C/C++ and R
Preferred Requirements: The ideal candidate will have a publication record in the field of modelling or statistical analysis of infectious diseases. Experience of analysing social network data would be an advantage

Deadline: October 2, 2018 | Published: September 3, 2018   19:55              

Department: Computer Science
Workload: 100%
Duties: We are seeking motivated computational neuroscientists and/or roboticists to help develop and extend a systems level computational model of the mammalian brain architecture and to evaluate this model within the control system of animal-like biomimetic robots. This is an exciting opportunity to join a dynamic disciplinary team, that has been working on embodied (robotic) models of the vertebrate brain for over two decades.The work extends from developing novel models of memory systems in the mammalian brain, to embedding and testing these models within specialised neuromorphic hardware onboard biomimetic robots including the animal-like companion robot MiRo and a novel whiskered robot developed in partnership with Bristol Robotics Lab
Minimum Requirements: You should have a PhD in computational neuroscience, brain-based/bio-inspired robotics, or a related discipline. You will also contribute to the Department of Computer Science’s objectives to be amongst the foremost research-led departments nationally and internationally
Preferred Requirements: Experience in systems neuroscience and/or neural network modelling would be an advantage

Published: September 3, 2018   19:00              

Department: Department of Economics
Duration: 1 m        Workload: 50%
Duties: The job entails conducting a Monte Carlo study to evaluate the finite sample performance of a permutation test. The test is designed to conduct inference on treatment effects for small sample sizes, in presence of attrition and baseline imbalance. The estimator to be evaluated is already programmed in Stata
Minimum Requirements: The ideal candidate will a) be able to ensure a significant short-term time commitment, b) be familiar with Stata, c) have good knowledge of both permutation-based inference and simulation studies and d) have a Master’s Degree in Economics and an aptitude and commitment to high quality research

Deadline: September 23, 2018 | Published: September 3, 2018   15:19              

Department: Media Arts
Duration: 3 y        Workload: 100%
Duties: The Centre for Digital Creativity is an exciting new initiative to link cutting-edge research and teaching across Media, Computer Science, Drama, Psychology, Management, Geography and Electronic Engineering with high profile creative industries partners. The post relates to ‘Audience Insight’, one of four main project themes, specifically focusing on a long-range analysis of youth engagement and responses to immersive experiences and increasing personalisation of content to inform creative screen and technology industry practice
Minimum Requirements: Qualified to Doctoral level, the post holder will have a strong understanding of qualitative research methods, particularly audience research and longitudinal studies, as well as a wider understanding of related research methods, for example, focus groups, media diaries, etc
Preferred Requirements: Experience of researching television, film, gaming or other media audiences and practical experience of working with/within the creative industries would also be an advantage as would awareness/experience of the dynamics of value creation in networks

Deadline: September 23, 2018 | Published: September 3, 2018   14:57              

Workload: 100%
Duties: Work with clients to understand and quantify the loss incurred. • Prepare the claim for complex/large loss submission to ensure all loss considerations are included. • Work with the client, Insurers and Loss Adjusters to reach an agreeable settlement. • Helps clients and other team members by serving as a resource on products and services in the Financial Advisory Services practice. • Use your experience to curate the best outcome for the client. • Develops project outlines and recommends suitable approaches or options to consider. • Directs and delivers analyses. • Uses facilitative and diagnostic skills to assist clients in the articulation of complex problems (delay analysis, quantity surveying and insurance matters)
Minimum Requirements: Strong construction experience (quantity surveyor, risk, project management, planning, cost control, delay analysis). • Bachelor degree or equivalent in engineering. • Project Management experience. • Strong experience in pre-loss services (including governance review, risk assessment, project monitoring). • Strong experience in post-loss services (delay and quantum analysis, claim management, dispute resolution). • Experience of Construction All Risk, Delay in Start-up, Property, Liability and/or Business Interruption claims will be highly beneficial, although other insurance lines will be considered
Preferred Requirements: Insurance Industry exposure/experience. Ideally you will be from a construction, engineering, claims, accounting or loss adjusting background, however, other backgrounds will be considered

Published: September 3, 2018   14:50              

Workload: 100%
Duties: Day to day management and professional development of a team of Client Advisors. Liaise with Marsh Client Executives regarding placement strategy for insurance renewals. Request and analyse underwriting information. Prepare and submit accurate market presentations and slips in consultation with the Client Executive and Market Placement Team. Utilising Marsh Online Trading system to collate renewal terms with existing and prospective insurers. Collate and negotiate terms with incumbent and prospective insurers. Analyse quotes and work with insurers to negotiate cover and premiums. Assist with the preparation of client reports for renewal, and specific projects as required
Minimum Requirements: Previous Team Leader or management experience. Proven experience of Account Handling with medium to large UK and Global Accounts. Awareness of Clients’ business, their business issues, insurance programmes and service plans. Fully Competent in Microsoft Office Products. Cert CII qualified (or equivalent)
Preferred Requirements: Dynamic with previous client facing experience preferred. ACII (or equivalent) or working towards would be an advantage

Published: September 3, 2018   14:37              

Department: Molecular Pathology
Duration: 3 y        Workload: 100%
Duties: The main focus of our lab is to develop new computer vision and deep learning tools for large-scale analysis of tumour pathological images. We have pioneered the use of spatial statistics to quantify spatial intra-tumour heterogeneity, a fundamental but under-explored biological feature of tumours. The successful candidate will lead the digital pathology component of a large collaborative program that integrates imaging with omics data. The successful post holder will provide machine learning expertise for analysing histological images and developing new programs. He/she will have the opportunities to learn about the cutting-edge technologies including deep learning, bioinformatics, and single-cell sequencing
Minimum Requirements: Applicants must hold a PhD in Computer Science, Systems Biology, Engineering, Ecology, Physics or Statistics
Preferred Requirements: Knowledge/experience in medicine or deep learning is desirable but not essential

Deadline: September 23, 2018 | Published: September 3, 2018   12:20              

Department: College of Engineering
Duration: 27 m        Workload: 100%
Duties: The College of Engineering at the University of Derby is committed to developing the next generation of high-achieving scientists, technologists and engineers. In partnership with Bloc Graphic Limited, we are seeking to recruit a Data Scientist to work on an exciting time constrained Knowledge Transfer Partnerships (KTP) Project, funded by Innovate UK. This KTP seeks to embed knowledge and expertise into Bloc Graphic to introduce capability to develop a system which will take a live data stream from a source data system and parse it so that it can be visualised instantly in a virtual environment
Minimum Requirements: You must be a graduate with a PhD in Computer Science or relative subject or equivalent experience. The ideal candidate will possess excellent organisational, communication and interpersonal skills (including report writing and presentations), strong analytical and numerical skills and the ability to collaborate with colleagues. Most critically, you must have the nuance to efficiently manage the project from conception to completion within the stipulated time and financial constraints

Deadline: September 24, 2018 | Published: September 3, 2018   12:08              

Department: School of Computing, Engineering and Mathematics
Workload: 100%
Duties: We are seeking a mathematician who can contribute to the development and delivery of our courses using a range of teaching methods and ways of supporting student learning. In particular, we are seeking a candidate with expertise in operational research or who can develop such expertise
Minimum Requirements: A PhD or extensive professional experience is essential as well as the potential to develop quality research and enterprise activity. The ideal candidates will therefore be capable of delivering a high quality student experience and have a strong commitment to advancing existing research in the School

Deadline: September 26, 2018 | Published: September 3, 2018   11:23              

Department: Mathematical Sciences
Duration: until 30th November 2019        Workload: 100%
Duties: We are seeking a highly skilled individual to join the Liverpool Centre for Mathematical Sciences in Healthcare (LCMH), conducting research in multi-scale mathematical modelling of ocular biomechanics. You will be based in the School of Engineering, jointly supervised by academics from the Biomechanical Engineering Group and the Applied Mathematics Group in the Department of Mathematical Sciences
Minimum Requirements: You should have a PhD (or be about to obtain) in Engineering, Applied Mathematics or Physics and have expertise in one or more of the following areas: nonlinear finite element modelling of soft tissue, experimental testing of soft tissue under mechanical loads and within tight controlled conditions, and programming, preferably in Matlab. You must be able to display clear evidence of outstanding promise and originality in research and have a good publication record. You will be expected to work effectively as a member of the research team (including both the Biomechanics Group and its academic collaborators in Mathematics), have the ability to develop and apply new concepts, and have a creative approach to problem solving

Deadline: September 24, 2018 | Published: September 3, 2018   11:12              

Duties: Entwicklung von Strategien und fachliche Konzeption der zugehörigen Methoden und Prozesse bis hin zur professionellen Implementierung. Erstellung finanzmathematischer Modelle bis zur Umsetzung von real-time Schnittstellen. Beratung zu sämtlichen Themen im Bereich Risk & Finance, beispielsweise Kredite und Derivate, Ratingsysteme, Portfoliosteuerung, IFRS und Solvency II
Minimum Requirements: Exzellenter Universitätsabschluss (Diplom/Master/Promotion) in Physik, (Wirtschafts-) Mathematik, (Wirtschafts-) Informatik, (Wirtschafts-) Ingenieurwesen oder weiterer Natur- und Wirtschaftswissenschaften mit entsprechend quantitativ ausgerichteten Vertiefungsrichtungen. Sehr gute IT-Kenntnisse und weit überdurchschnittliche mathematische Fähigkeiten. Hohes Mass an Flexibilität und Belastbarkeit aufgrund der wechselnden Einsatzorte in Deutschland und weltweit. Exzellente Kommunikationsfähigkeiten, Teamgeist und hohe Einsatzfreude. Sehr gute Deutsch- und Englischkenntnisse. Gerne auch bereits (erste) Berufserfahrung

Published: September 2, 2018   08:43              

Duties: Quantitatively and qualitatively modelling risk. Building new tools. Analysing data. Validating models. Mathematical modelling. Software development. Present solutions, write reports and gather work specifications on project. Build up skills and expertise that can be shared and leveraged within the firm
Minimum Requirements: Minimum Master’s or PhD in Physics, Mathematics, Financial Mathematics, Computer Science or any other related quantitative science with a high mathematical content and with excellent grades. English language proficiency. Possess significant IT knowledge coupled with strong programming skills. Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling. Ability to work well in a team. Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients. Work experience in trading, treasury or risk management may be an additional advantage

Published: September 1, 2018   14:33              

Duties: Quantitatively and qualitatively modelling risk. Building new tools. Analysing data. Validating models. Mathematical modelling. Software development. Present solutions, write reports and gather work specifications on project. Build up skills and expertise that can be shared and leveraged within the firm
Minimum Requirements: Minimum Master’s or PhD in Physics, Mathematics, Financial Mathematics, Computer Science or any other related quantitative science with a high mathematical content and with excellent grades. English language proficiency. Possess significant IT knowledge coupled with strong programming skills. Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling. Ability to work well in a team. Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients. Work experience in trading, treasury or risk management may be an additional advantage

Published: September 1, 2018   14:32              

Department: Dept of Medical Physics & Biomedical Engineering
Duration: 3+ y        Workload: 100%
Duties: This is an exciting opportunity for enthusiastic candidates with excellent technical skills and track record to join an internationally leading research group. The Centre mission is to increase the translation of scientific and engineering discovery and advances into real life clinical tools for first-in-human clinical studies
Minimum Requirements: Applicants must have a Honours degree (2: 1 or above) or equivalent in Mathematics, Engineering, Physics or Computer Science. A MSc in an appropriate field is desirable. Applicants must have excellent knowledge of at least 2 of the following: Computer vision/medical image computing/machine learning. Optics/imaging physics or Robotics/mechatronics/sensors

Deadline: September 30, 2018 | Published: September 1, 2018   08:16              

Department: Chemistry
Duration: 2+ y        Workload: 100%
Duties: We are seeking a talented computational scientist to work with Dr Scott Woodley, in the Department of Chemistry at University College London on the development and applications of software that exploits a database dedicated to aiding surface and interface simulations at the Quantum Mechanical and Molecular Mechanical levels of theory. The project will require fundamental methodological developments, their implementation in code and applications to modelling surfaces of inorganic materials
Minimum Requirements: The successful candidate will have a PhD degree or equivalent - or will have submitted their thesis prior to taking up the position - in Physics, Chemistry, Materials Science or a related discipline, with a strong research record in theoretical, computational or mathematical physics, chemistry, materials science or applied mathematics, and an expertise of modelling either solid-state or molecular systems. Good experience in scientific coding will be essential for the role as will be a proven track record in mathematical modelling and theory development

Deadline: October 1, 2018 | Published: September 1, 2018   07:03              

Department: Wmg
Duration: Permanent        Workload: 100%
Duties: To reflect on practice and the development of own teaching and learning skills. Teaching and Learning Support. To teach as a member of a teaching team in a developing capacity within an established programme of study, with the assistance of a mentor if required. To develop own teaching materials, methods and approaches with guidance. To identify learning needs of students and define appropriate learning objectives. To ensure that content, methods of delivery and learning materials will meet the defined learning objectives. To supervise the work of students, provide advice on study skills and help them with learning problems
Minimum Requirements: Honours degree in a relevant area. A relevant postgraduate qualification or equivalent. Possession of a teaching qualification or HEA accreditation, or willingness to complete Warwick APPTE or seek HEA accreditation when in post

Deadline: September 26, 2018 | Published: August 31, 2018   21:52              

Department: Department of Computer Science
Duration: Until 14.03.2020        Workload: 100%
Duties: The Research Associate/Senior Research Associate will be responsible for: Developing Multiview machine learning approaches to combine different modalities of neuroimaging data with behavioural/questionnaire data. Exploring ways of integrating longitudinal data into the models and stratifying/characterizing subgroups of subjects; Validating the models on large samples of healthy subjects and mental health patients. Contributing actively to the development of the group’s Pattern Recognition for Neuroimaging Toolbox
Minimum Requirements: The candidate should have a PhD in machine learning or machine learning applied to neuroimaging along with a first degree in a subject with a strong engineering, computer science or mathematics/statistics component. Candidates must have experience in machine learning, Bayesian statistics and software development. A track record of publishing in machine learning conferences or neuroimaging journals (e.g. NeuroImage, Human Brain Mapping) is essential
Preferred Requirements: Experience in neuroimaging analysis is desirable

Deadline: September 29, 2018 | Published: August 30, 2018   12:56              

Duration: 3 y        Workload: 100%
Duties: The KTP Associate will be a University employee who will spend most of their working time at Bentley Motors Ltd, whilst being supported by a dedicated academic supervisor at Keele University. We are seeking to recruit a KTP Associate who will develop an innovative data mining process that will allow the company to exploit the value hidden in the data it owns and collects
Minimum Requirements: A postgraduate (Masters) degree or higher degree in Computer Science, Data Science or a closely related discipline. This should evidence strong skills in data mining and machine learning coupled with relevant experience in data and statistical analysis. You will need to be highly motivated, organised and innovative in developing creative technical solutions and be able to communicate complex technical material at all levels within the organisations. Your ability to solve problems independently will be vital. In addition, a passion to conceptualise and understand the commercial imperative for this project is critical

Deadline: September 21, 2018 | Published: August 29, 2018   19:37              

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