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Department: Mathematics and Computer Science
Workload: 100%
Duties: Teaching at undergraduate and/or postgraduate levels. Supervision of undergraduate and postgraduate dissertations. While applicants with expertise in any area of Mathematics are encouraged to apply, we would be particularly interested in receiving applications from those with a strong research background in one or more of the following areas in Applied Mathematics: Applied Analysis and Nonlinear Mathematics. Quantum Computing. Numerical Analysis. Mathematical Biology. Financial Mathematics
Minimum Requirements: PhD or equivalent in a relevant subject. HEA Fellowship status or equivalent (or a willingness to attain such). Experience in teaching Mathematics in Higher Education. Administration within Higher Education
Preferred Requirements: M Level Qualification

Published: July 15, 2018   19:32              

Department: School of Science
Workload: 100%
Duties: To contribute to and enhance the research, teaching and enterprise activities of the School of Science in the area of Imaging Science in support of the University Strategy, Building Excellence. To pursue a personal research programme consistent with the research priorities of the School of Science that increases the global visibility and reputation of the University. To secure external research funding. To supervise and manage research projects. To publish the outcomes of research in outlets of international standing. To attend and contribute to major international conferences. To work with colleagues in the School to deliver an exceptional learning environment for students
Minimum Requirements: Evidence of research and academic activity in Imaging Science consistent with the needs of Science as outlined above. Experience of working in a high quality academic research environment including experience at post-doctoral level. Relevant PhD and Undergraduate degree. Achieved or progressing towards appropriate professional status, including FHEA

Published: July 15, 2018   18:52              

Department: Student and Academic Services
Workload: 100%
Duties: To plan the ongoing development of the Centre in line with strategic and operational priorities for student transition and success as set out in the Learning and Teaching Strategy, informed by student data and by emerging priorities at University, Faculty and departmental levels, including initiatives led by Faculty Associate Deans for Teaching, Learning and Students. co-ordinating operations with the Maths and Statistics Adviser(s) and members of the ASO administrative team; overseeing technology to manage staff schedules, opening hours, bookable appointments and workshops
Minimum Requirements: You will have experience of delivering mathematics and statistics teaching or support, have a qualification relating to teaching practice; the ability to lead a team of specialist staff and Graduate Teaching Assistants, and excellent communication and interpersonal skills. A teaching qualification (e.g. PGCE; PGCAP; Diploma or other relevant courses)
Preferred Requirements: A relevant postgraduate qualification

Deadline: August 5, 2018 | Published: July 15, 2018   18:44              

Duration: Until 31.12.2019        Workload: 100%
Duties: The successful applicant will work with a focused team of developers, bioinformaticians and user support personnel on the Accelerating Medicines Partnership - Type 2 Diabetes project. You will help build multi-platform, cloud-friendly pipelines for genetic association studies, and statistical analysis of variation and its effect in type 2 diabetes and associated phenotypes. As part of this project you will have the opportunity to work with national and international collaborators, and to gain expertise in biological and phenotypic ontologies. You will also work with software developers to implement scalable databases and Extract, Transform, and Load (ETL) pipelines for the management, transfer and analysis of human genetic data
Minimum Requirements: You should hold a bachelor's or higher degree in computer science, computational biology or bioinformatics. Relevant experience and skills in computational biology, bioinformatics, or statistics. Expertise in one or more of: Java, R, Python. Experience of relational databases

Deadline: August 19, 2018 | Published: July 15, 2018   17:30              

Workload: 100%
Duties: You are invited to apply for a postdoctoral position to work in the Mammary Stem Cell Biology & Breast Cancer group at Biological Sciences – University of Southampton, to study the mechanisms of asymmetric cell divisions (ACDs) during mammary gland development and homeostasis
Minimum Requirements: You will have a PhD or equivalent professional qualification in a relevant subject area, with a strong cell and computational biology component. A high level of competence in bioinformatics is required and relevant experience demonstrated by first author publications in peer reviewed journals
Preferred Requirements: Having previous experience in cell and molecular biology will be advantageous

Deadline: August 15, 2018 | Published: July 15, 2018   15:48              

Duration: Permanent        Workload: 100%
Duties: Perform GNC/AOCS design and analysis activities through the full engineering lifecycle from initial concept design, rapid prototyping, all the way through to support to final validation. Produce the associated documentation (design justifications, Software requirements for GNC/AOCS algorithms, performance analysis documentation etc.)
Minimum Requirements: Matlab and Simulink experience. Ability to develop Software to a prototype level (non-real time simulator development under C/Matlab). A background in Engineering/Physics/Science/Technology/Computer Science (or similar) and preferably an interest in the space engineering sector. Knowledge of dynamics and control is essential, as is experience in the use of Matlab, Simulink. Excellent written and verbal communication skills. The ability to interact comfortably within a team environment

Published: July 15, 2018   15:23              

Duration: 3 y
Duties: The research will focus on platelets which are small cells in the blood that play a critical role in prevention of excessive bleeding following injury (haemostasis). This particular project will be focus on understanding how platelet glycoprotein receptors control platelet function through physical clustering using mathematical and computational modelling approaches. The successful candidate will undertake PhD studies using mathematical and computational approaches to study the molecular processes that control blood cell (platelet) function, and will use ‘wet lab’- biological techniques to test theoretical predictions. They will be required to train in research methodologies, and where necessary develop new experimental approaches

Deadline: August 8, 2018 | Published: July 15, 2018   06:57              

Department: Great Ormond Street Institute of Child Health
Duration: 2 y        Workload: 100%
Duties: The aim of the project is to understand how genetic variation, common and rare, affects molecular phenotypes in human induced pluripotent stem cells (iPSC) and neuronal cell types derived from them, and how this affects the use of iPSCs as models for rare genetic diseases. The project builds on resources and results from the Human Induced Pluripotent Stem Cell Initiative. The successful candidate will analyse genetic, transcriptomic and epigenomic data from these cells to investigate molecular differences in disease phenotypes arising from their genetic background. The ultimate goal of the project is to improve the accuracy of iPSC-based disease models and enable clinically relevant findings
Minimum Requirements: Candidates should have a PhD in bioinformatics, computational or evolutionary biology, statistics or related genomic disciplines. The ideal candidate will have experience in at least one of the areas above, and a strong interest in the others. Previous work in translational bioinformatics (theoretical or analytical) is a plus. Experience with large-scale genomic datasets and databases, next-generation sequencing data, and strong programming and quantitative skills are required

Deadline: August 31, 2018 | Published: July 14, 2018   14:16              

Duration: Until June 30th 2020        Workload: 100%
Duties: We are seeking to recruit a Postdoctoral Researcher with skills in the computation of catalytic mechanisms, selectivity and activity. These skills will be used to develop methods in computational workflows for high throughput computational screening to identify new metal-organic framework materials for catalysis applications
Minimum Requirements: You should have a PhD in Chemistry, Physics or Materials Science, a strong publication track record and a demonstrated commitment to excellence. Exceptional skills in computation of catalytic mechanisms and determination of catalyst selectivity and activity by computation are essential
Preferred Requirements: Expertise in atomistic simulation of porous framework compounds and conducting high throughput calculations is desirable

Deadline: August 7, 2018 | Published: July 14, 2018   09:52              

Duration: 2, 5 y        Workload: 100%
Duties: The appointed Research Assistant/Research Associate will undertake high quality research in biomedical image analysis and machine learning. To plan and carry out research in accordance with the project aims To assist with the analysis of data. To ensure the validity and reliability of data at all times. To maintain accurate and complete records of all findings. To assist with the writing of reports to research sponsors. To present findings to colleagues. To provide advice to other staff and students. To assist with the publication of findings. To attend relevant workshops and conferences as necessary. To develop contacts within the College and the wider community. To promote the reputation of the Group, the Department and the College
Minimum Requirements: Knowledge of a broad range of techniques including medical image computing, computer vision or machine learning. Experience of dealing with specific groups of people, e.g. sponsors, patients. At Research Assistant level you will need to have a good (1st or 2.1) undergraduate degree in a relevant discipline with a particular interest in medical image computing, computer vision or machine learning
Preferred Requirements: Preference will be given to applicants with a proven track record in medical image analysis, deep learning and scientific programming

Deadline: August 31, 2018 | Published: July 14, 2018   00:31              

Department: Department of Computer Science and Technology, West Cambridge
Workload: 100%
Duties: The aim of the project is to develop techniques from supervised and unsupervised machine learning methods, including random forests and various flavours of deep learning (for example graphs, attention, agents based, autoencoders) and combine them with network science (multilayers) and biomedical knowledge to integrate heterogeneous data for individual breast cancer patients such as their genomic, cell and clinical data. In parallel, we propose to use these predictive models to extract a generative logic model with reasoning rules that provides causal explanations of the decisions made by the model
Minimum Requirements: The ideal candidate for this position will either have a strong background in developing machine learning algorithms, or have a strong background in logic and reasoning. Have a strong background in several of: machine learning, artificial intelligence; and/or: logic, mathematics, theorem proving; have some experience in designing formal logical representations, and implementing and evaluating reasoning systems; and/or: in developing new machine learning algorithms; have a PhD in Computer Science, Engineering or maths (or be very close to submitting their PhD) and have a strong publication record

Deadline: August 12, 2018 | Published: July 13, 2018   23:59              

Department: School of Education
Workload: 100%
Duties: Make a substantial contribution to delivering and leading a range of teaching, supervision and assessment activities, across undergraduate and postgraduate programmes within the Subject/School. Carry out course administration within required timescales ensuring effective communication of information, in particular assessment requirements and criteria and timely and constructive feedback on assessment. Take a lead in the on-going development and design of the curriculum in a manner that supports a research-led and scholarly approach to student learning and assessment. Develop effective approaches to the use of learning technologies to support and enhance course delivery, course organisation, feedback and assessment
Minimum Requirements: Scottish Credit and Qualification Framework level 12 (PhD) or equivalent in Mathematics Education or related discipline with a growing reputation for scholarship within the subject area. Membership of relevant professional body, where appropriate. Extensive breadth and depth of knowledge in Mathematics Education to develop teaching programmes/methodologies/learning support. Eligibility for General Teaching Council Registration. Track record of scholarship and development and delivery of teaching, and proven ability to develop and devise teaching programmes, techniques and methods. Experience and achievement in the relevant field reflected in an expanding personal academic portfolio

Deadline: August 12, 2018 | Published: July 13, 2018   23:57              

Department: Institute of Cognitive Neuroscience
Workload: 100%
Duties: The post-holder will be expected to carry out research in the area of cognitive neuroscience, including neuroimaging and computational modelling. The post-holder will be responsible for the design and conduct of behavioural, functional neuroimaging, and other cognitive neuroscience experiments with humans, recording and analysing data and preparing the results for publication
Minimum Requirements: The successful candidate should have a PhD in computational neuroscience/mathematical psychology; or PhD in neuroscience/cognitive neuroscience/psychology/psychiatry. Experience using MATLAB, R, Python or comparable software packages is essential. The post-holder should have knowledge of findings applying computational models to cognitive neuroscience. Considerable knowledge of computational modelling analysis techniques and associated literature with experience applying mathematical modelling techniques to data is desirable

Deadline: August 11, 2018 | Published: July 13, 2018   13:38              

Department: Institute of Prion Diseases
Duration: 3, 5+ y        Workload: 100%
Duties: We are seeking to recruit to a Senior Research Associate position at UCL Grade 8. Following an initial training period you will undertake research to investigate the composition and three dimensional structures of infectious prion strains. The existence of prion strains constitutes protein-based inheritance and the structural basis of this is of wide biological and evolutionary interest. Work will principally involve: imaging of purified prions by negative strain and cryo-electron microscopy; biochemical purification of prions from mouse brain; and, preparation of purified prion preparations suitable for analyses by mass spectroscopy and other analytical techniques
Minimum Requirements: A background in negative stain and cryo-electron microscopy and protein structural biology is highly desirable. Excellent verbal and written communication skills are required to communicate research findings in peer reviewed journals and scientific presentations. Experience of working in microbiological containment level 3 facilities would be an advantage. The post-holder will work closely with existing staff at UCL and Birkbeck College but must have the ability to work independently

Deadline: August 31, 2018 | Published: July 13, 2018   07:02              

Department: UCL Institute of Health Informatics
Duration: 3, 5+ y        Workload: 100%
Duties: UCL Institute of Health Informatics invites applications for a Research Fellow in Public Health Data Science to support the Pan-African Network for Rapid Research, Response, Relief and Preparedness for Infectious Diseases Epidemics (PANDORA). This post is specifically to support the development of The Remote Assessment of Disease and Relapse (RADAR) platform for generalized active (e.g. experience sampling (ESM)) and passive (wearable and phone sensor) mHealth data harvesting in novel infectious disease outbreaks in Africa
Minimum Requirements: The postholder must have a relevant Masters and/or PhD degree (Computer Science, Epidemiology, Public Health, Control of Infectious Diseases, Medical Statistics, bioinformatics or equivalent), have experience of biostatistics languages and packages, including R or STATA and equivalents, experience of various aspects of data management and SQL databases

Deadline: July 18, 2018 | Published: July 13, 2018   06:58              

Department: School of Electronic Engineering & Computer Science
Workload: 100%
Duties: Applications are invited for a Postdoctoral Research Associate position in Bayesian Artificial Intelligence. The postdoc will work with a) data pre-processing methods for causal discovery, b) machine learning algorithms that discover Bayesian Network graphs, c) evaluation methods that assess the accuracy of causal graphs, and d) diverse case studies (e.g., economics, sports, medicine) to test the performance of Bayesian graphs
Minimum Requirements: Applicants should hold a PhD (awarded or reasonably expected to be awarded within 3 months) in an area related to Computer Science. Self-motivated and hardworking to aim for excellence is essential, as are excellent communication skills. Applicants with advanced knowledge in areas such as statistical/probabilistic machine learning are particularly encouraged to apply. The successful candidate will have knowledge of Bayesian Networks, and the ability to implement and improve machine learning algorithms
Preferred Requirements: Knowledge of machine learning algorithms that discover Bayesian Network graphs and knowledge of evaluation methods that assess the accuracy of causal graphs is desirable

Deadline: August 12, 2018 | Published: July 12, 2018   16:26              

Department: Space & Climate Physics
Duration: 3+ y        Workload: 100%
Duties: This post is mainly concerned with research and development of a deep learning based image matching algorithm for clouds and stereo matching algorithm for processing of massive satellite data, particularly for a large number of view angle intersections for application to “point-and-stare” video systems to generate dense point clouds. In addition, the applicant would be expected to collaborate with other members of the Imaging group working on machine vision and deep learning applications to EO and planetary datasets
Minimum Requirements: The postholder will be expected to have a PhD in computer vision and deep learning preferably related to airborne or satellite data or equivalent work experience. Programming experience (in C++ and/or Python) for EO stereo satellite data, knowledge of deep learning and computer vision, knowledge of stereo photogrammetry, and knowledge of linux are also essential requirements for this post

Deadline: August 16, 2018 | Published: July 12, 2018   06:32              

Duration: 4 y        Workload: 100%
Duties: The Marine Systems Modelling group at the National Oceanography Centre (NOC) is seeking to recruit a Numerical Ocean Modeller to increase its ocean modelling capability. The successful candidate will join a vibrant research group at the forefront of the development and analysis of high-resolution models of the global ocean, sea-ice and biogeochemistry. The post-holder will be supporting a range of modelling activities across a variety of High Performance Computing platforms and Unix compute servers. The main duties of the post holder will include implementing and testing of new components in the NEMO ocean model as well as contributing to the development and maintenance of the associated software infrastructure
Minimum Requirements: Applicants are expected to have experience in the configuration and running of parallel general ocean circulation models. Ideally, the candidate would have a background in physical oceanography, be familiar with the fundamentals of the ocean circulation and have proven mathematical and computing skills but candidates from other physical/mathematical sciences with experience in HPC and/or scientific software development are also welcome. Ideally, applicants will have a PhD in physics, mathematics or other numerate disciplines and should have a strong background in computing. He/she will be experienced in coding and in the debugging of large computer programs (e.g. in Fortran90 or C) in a UNIX environment

Deadline: July 22, 2018 | Published: July 11, 2018   11:25              

Department: Medical Physics and Biomedical Engineering
Duration: 1+ y        Workload: 100%
Duties: Non-small cell lung cancer (NSCLC) is one of the most common cancers in the UK. Although survival rates are improving, survivors experience poor long-term quality of life. Radiotherapy is a common treatment but can cause damage to the lungs. You will develop, implement and validat image analysis methods for studying radiotherapy induced lung damage (RILD). The aim of the project is to better understand RILD and ultimately reduce its incidence and improve outcomes for lung cancer patients. You will develop software to carry out the investigations
Minimum Requirements: You will have a PhD in computer science, engineering, physics, mathematics or a related field. Experience of image processing or computer vision ideally for medical images is essential. You must have experience in Python, C++ or MATLAB and excellent software development skills. Experience of working in a multidisciplinary team including clinicians, medical physicists and computer scientists is desirable

Deadline: August 2, 2018 | Published: July 11, 2018   07:39              

Department: Institute for Global Health
Duration: 30+ m        Workload: 100%
Duties: The aim of PANDORA is to strengthen, regional and pan-African capacities and systems for enabling rapid and effective response to emerging and re-emerging infectious diseases threats arising from within Africa, or those imported from overseas. The project aims to build laboratory, public health and clinical trials capacity for the rapid investigation of outbreaks at source. IGH is looking to appoint a Research Associate in Epidemiology/Statistics. The post holder will work to develop a research interest in infectious disease epidemiology within the existing programme and contribute to teaching in relation to the PANDORA consortium
Minimum Requirements: Candidates will require an MBBS or equivalent, a PhD in Epidemiology, Statistics or equivalent, an MSc in Epidemiology or Statistics or equivalent. The post-holder will have a background in infectious disease epidemiology research or similar and with proven ability and commitment to carry out high quality original research, leading to publication in addition to proven research aptitude and laboratory experience. They will have the highest ethical and professional standards in research and education and a strong commitment to academic research or academic medicine. Applicants will also demonstrate excellent interpersonal, oral and written communication skills

Deadline: July 23, 2018 | Published: July 11, 2018   07:35              

Department: Cancer Institute
Duration: 2+ y        Workload: 100%
Duties: The aims of the project are to investigate the molecular signatures of invading glioblastoma cells and determine their links to tumour genetics in novel glioblastoma mouse models that recapitulate the human disease. Duties and responsibilities of the post holder include but are not limited to: contribute in all phases of the project, from study design to publication, identify and apply the most suitable computational methods to be used in the research project, evaluate available software and develop new bioinformatics tools if required
Minimum Requirements: The successful candidate must have a PhD in bioinformatics or another related discipline) (or be studying towards a PhD) or possess the equivalent experience

Deadline: August 10, 2018 | Published: July 11, 2018   07:05              

Department: Institute of Health Informatics
Workload: 100%
Duties: The Health Data Research UK (HDR UK) London Officer will be responsible for administrative support for HDR UK London-related actitivies, including research initiatives, and will provide executive assistance support to the HDR UK Chief Operations Officer (COO)
Minimum Requirements: Experience of committee work including co-ordinating meetings and activities across institutions with senior colleagues, devising agendas, circulating papers, taking minutes and coordinating follow-up actions is essential. The postholder must have experience of project management and organising events, and excellent oral & written communication skills. Experience of producing financial management reports and experience of administering HR functions are essential

Deadline: July 23, 2018 | Published: July 11, 2018   07:04              

Department: MRC Laboratory of Molecular Biology
Duration: until 29/02/2020        Workload: 100%
Duties: To lead one or more projects within an overall programme on DNA repair and its role in stem cell function and cancer suppression. To play a major role in the work of the Research Group, through the conduct of research, introduction of new ideas, dissemination of research results, support and training of others. To be a focus of expertise on the role of two-tier protection against aldehyde-induced DNA damage in stem cells and cancer
Minimum Requirements: PhD in a relevant biological subject. Significant postdoctoral research experience in aldehyde metabolism, stem cell & cancer biology. Experience of and proven ability to perform techniques relevant to the project, and knowledge of the field. Particularly useful would be experience in hematopoietic stem cell assays, flow cytometry, genetic manipulation with CRISPR-Cas9, and cancer research. Track record of research will include achievements, and significant contributions to published papers

Deadline: July 26, 2018 | Published: July 10, 2018   12:29              

Department: Civil, Environmental & Geomatic engineering
Duration: 1 y        Workload: 100%
Duties: The successful applicant will lead the development of a driver seat made of soft robotic structures to allow intuitive human-machine interaction in future autonomous vehicles. Further activities will include the integration of the seat into a driving simulator, involvement in outreach programmes, impact activities and academic publications
Minimum Requirements: The individual should have a good first degree (2: 1 UK equivalent or above), together with a doctorate in electrical/mechanical engineering or computer science or robotics. (S)he needs to demonstrable skills in the creation/design and interfacing of (soft) robotic systems, data acquisition systems, and programming languages. (S)he needs to have the ability to work as a member of a team, demonstrable commitment to the development of innovative research methods, data analysis and presentation. The post-holder needs to be able to write complex reports and papers accurately and clearly

Deadline: August 8, 2018 | Published: July 10, 2018   07:10              

Department: Centre for Longitudinal Studies
Workload: 100%
Duties: You will be expected to undertake and publish scholarly research using quantitative methods making use of longitudinal datasets housed at CLS and other sources while making a major contribution to the CLS Applied Statistical Methods and Survey Methods programmes and taking responsibility for the production of regular reports on survey response and analysis of non-response bias to the cohort studies managed by CLS
Minimum Requirements: Completion of a PhD in statistics/social statistics, survey methodology, a quantitative social science or health-related discipline is essential as is research expertise in the field of social statistics or survey methodology or a field of applied quantitative social science involving the use of advanced statistical methods. Previous experience of use of the CLS cohort studies is desirable

Deadline: August 8, 2018 | Published: July 10, 2018   06:55              

Department: Divisional Support
Workload: part-time
Duties: The School of Health Sciences at City, University of London is looking to recruit a dedicated statistician to assist staff and PhD students in basic and advanced techniques associated with grant applications and high quality papers. The appointed person will have the opportunity to research, apply and develop statistical methodology, together with providing consultation and training of staff. The post involves the opportunity to take part in a range of possible activities, including designing, conducting, analysing and publicising health science studies, helping to prepare grant applications and presenting research findings as appropriate
Minimum Requirements: The successful candidate will be enthusiastic and flexible with a postgraduate degree in medical or health related statistics or a first degree where statistics was a substantial component. It is also anticipated that the successful candidate will have relevant experience, as well as experience of applying a broad range of statistical techniques. They will have in-depth knowledge of statistical packages including SPSS as well as one or more advanced packages such as SAS/STATA, and evidence of the ability to contribute to high quality research publications
Preferred Requirements: Graduate Statistician membership of the Royal Statistical Society, and ideally status as a Chartered Statistician is desirable

Published: July 9, 2018   21:03              

Duration: Until 30 April 2019        Workload: 100%
Duties: You will contribute mainly to the development of the predictive risk score through harmonisation and integration of information on outcomes and exposures from contributing studies. The predictive model will be developed within a Bayesian framework, and predictive factors under consideration include lifestyle, environmental, occupational and genetic factors. This post provides a unique opportunity to join a world leading team of researchers and to develop insight into our understanding of lung health while contributing to the statistical work required for the project
Minimum Requirements: You should have either an MSc (Research Assistant) or a PhD (Research Associate) in medical statistics or related fields, with expertise in the application of Bayesian methods. The post requires regular communication with 10 research centres in Europe and elsewhere therefore it is critical that the candidates can demonstrate excellent teamwork and communication skills

Deadline: July 19, 2018 | Published: July 9, 2018   12:47              

Duration: 2 y
Duties: Applications are invited for a full-time Research Fellow position in the area of electromagnetics and mechanical modelling of microstructured optical fibres, aimed at developing novel fibres and means of packaging them so that they are more able to withstand changes in environments in which they are deployed. The project will involve the development of coupled electromagnetics and visco-elastic models aiming to link the optical loss experienced by a fibre to both external perturbations and to internal roughness at the core surround interface
Minimum Requirements: Applicants must have obtained a PhD* or equivalent professional qualifications and experience in Physics, Engineering, Maths, Material Science or equivalent and have a strong background in physical and numerical modelling. Relevant experience at post-graduate/post-doctoral level in visco-elasticity related problems and in waveguide theory is also desirable. A strong mathematical background and excellent programming skills are necessary. The applicants are expected to work as part of a cohesive, world-leading team, to interact with experimentalists and fibre fabricators and to contribute to the dissemination of high quality research results

Deadline: August 7, 2018 | Published: July 9, 2018   06:47              

Duration: 3 y        Workload: 100%
Duties: You will work on a research project that aims to develop and evaluate novel methods that identify (and potentially correct) errors within health care datasets. The work will require the post-holder to use advanced regression modelling techniques, multiple imputation methods and simulation techniques. The research addresses issues at the forefront of current knowledge on performance assessment and improved statistical methods would be widely applicable
Minimum Requirements: The post-holder must have a Master’s degree in medical statistics, epidemiology, operational research or a related field, or equivalent working experience in these fields

Deadline: August 3, 2018 | Published: July 8, 2018   22:40              

Duration: 3 y
Duties: Your project will include the creation of new software to enable better quality of service in deployed devices or systems through large-scale data analysis and visualization. This will be achieved through the use of time series, geographic relationships, and real-time statistics, using scalable methods for large sets of devices and data samples. You will contribute to the development of Enhanced Telecommunications' new data platform, and provide initial demonstrations of these analyses through a web-based dashboard
Minimum Requirements: A degree in computer science, maths, engineering, or any related STEM discipline

Deadline: July 29, 2018 | Published: July 8, 2018   15:08              

Workload: 100%
Duties: Deliver high quality undergraduate and postgraduate level lectures, supervise undergraduate and postgraduate projects, undertake, publish and communicate original research of the highest standard, participate in the enterprise activities of the School and carry out administrative responsibilities
Minimum Requirements: A doctorate in Statistics or a closely aligned field or equivalent, current publication track record relevant to statistics in highly rated journals, a willingness to participate in Open Days and other recruitment and outreach activities, a commitment to pursuing research and/or being involved in research activities

Deadline: August 19, 2018 | Published: July 7, 2018   20:25              

Department: Mathematical Sciences
Workload: 100%
Duties: Undertake original research of international excellence. Develop research objectives and proposals for own and/or collaborative research area. Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international conferences, workshops and meetings resulting in successful research outputs. Identify opportunities and assist in writing bids for research grant applications. Prepare proposals and applications to both external and/or internal bodies for funding, contractual or accreditation purposes
Minimum Requirements: A PhD (or close to completion), or equivalent in applied mathematics or a relevant branch of engineering/physics. Expert knowledge of modelling and numerical methods for flow and transport problems in porous media. Background knowledge in more than one of the following areas: Uncertainty quantification or inverse problems. Multiscale modelling. Carbon capture and storage. Reservoir simulation/geomechanical fracture models

Deadline: August 6, 2018 | Published: July 7, 2018   18:38              

Department: Planning, Governance and Compliance
Workload: 100%
Duties: The role holder will support a range of the University’s strategic and operational planning activities by undertaking statistical analysis of multiple datasets (including statutory returns, student survey data, student applications and enrolment data, and so on) with an emphasis on predictive analytics and scenario modelling. Proactively provide reliable and forward looking analysis, advice and information, highlighting any issues where intervention may be required to maintain or improve performance and undertake developments to deliver more effective planning processes. Lead the University’s evolving development of high-quality strategic and operational analytics
Minimum Requirements: Experience of the Higher Education sector is not essential but it is critical that you have excellent numerical, analytical and modelling skills and the ability to identify strategic implications from data analysis. Degree (minimum 2.i) or equivalent experience. Chartered Statistician (CStat) of the Royal Statistical Society (or equivalent). Highly credible, with significant experience of applying relevant statistical techniques across a range of large and complex datasets
Preferred Requirements: Relevant postgraduate qualification

Deadline: July 22, 2018 | Published: July 7, 2018   18:16              

Duration: 2 y        Workload: 100%
Duties: The post holder will play a central role in Cancer Research UK Clinical Trials Unit’s (CRCTU) research and educational activities. Biostatisticians play a central role in the Unit, actively liaising with clinical investigators, contributing to the design and conduct of clinical trials, being responsible for interim and final analysis of clinical trial data and having a key role in the presentation and publication of results. As academic members of the University, Biostatisticians contribute to teaching at undergraduate and postgraduate level
Minimum Requirements: MSc or PhD in Statistics or relevant subject. • Possess substantial previous experience of working as an applied medical statistician. • Extensive experience in clinical trials, specifically trial design and writing of protocols and the analysis, reporting and publication of results. • Extensive experience of applying and/or developing successful statistical models, techniques and methods, in particular in survival analysis. • Extensive experience and demonstrated success in planning, undertaking and project managing statistical aspects of clinical trial research to deliver high quality results

Deadline: August 1, 2018 | Published: July 7, 2018   14:13              

Duration: 9 m        Workload: 100%
Duties: The area of the proposed research is homological and homotopical algebra; it has connections with algebraic topology, noncommutative ring theory, algebraic geometry and category theory. The main theme of the project is localisation of rings or categories done in a homotopy invariant way. The project seeks to extend the notion of derived localisation of differential graded rings to differential graded categories and monoids in Quillen closed model categories. The scope of applications includes the study of derived categories of algebraic varieties, representations of finite-dimensional algebras, and the theory of division algebras (skew-fields)
Minimum Requirements: You should have, or be close to completing, a PhD in Pure Mathematics
Preferred Requirements: Preference will be given to the following areas of specialisation: homological and homotopical algebra, algebraic topology, algebraic and noncommutative geometry, category theory, representation theory

Deadline: July 18, 2018 | Published: July 7, 2018   14:07              

Department: Wolfson Institute of Preventive Medicine
Duration: 2 y        Workload: 100%
Duties: An exciting opportunity has arisen for a full time (1.0 FTE) post-doctoral Researcher working on an innovative research programme on: The recognition and treatment of depressive illness in renal dialysis patients: the role of inflammation. The project includes clinical epidemiology, using electronic and clinical records, data analysis, project management and delivery of the overall project with a team of senior researchers

Deadline: July 27, 2018 | Published: July 7, 2018   08:01              

Department: Oxford University Big Data Institute (BDI)
Duration: 2 y        Workload: 100%
Duties: We are looking for an exceptional Data Scientist to lead the analysis of “GameChanger” a major new study into the use of Apps for detecting longitudinal cognitive change in population-level cohorts. In addition, the app will be promoted inside several large-scale UK cohorts such as UK BioBank, ALSPAC, Generation Scotland, NIHR BioResource, and others, to provide a highly-phenotyped subset. Based within the BDI, you will be part of the interdisciplinary team which designed and built Mezurio, leading on the selection of methods, taking responsibility for statistical design, exploring new and complex streams of data, working with the Big Data team to scale up analyses, and with software engineers on the design of new modules for the App
Minimum Requirements: To be considered you will have a PhD involving a substantial data science component and a BSc or MSc in Science, Maths, Engineering or Computing. You will require a strong understanding of statistical methods for analysing longitudinal data, and must be able to demonstrate instances of solving significant scientific problems using data science techniques. You will also have the ability to write academic reports and provide statistical leadership to a research group

Deadline: August 9, 2018 | Published: July 7, 2018   01:30              

Duration: Permanent        Workload: 100%
Duties: We currently have an open position for a Bioinformatics Support Engineer. They will work on a variety of bioinformatics data analysis tasks, including metagenomics, RNAseq, de novo assembly, pan-genomes, epidemiology and anti-microbial resistance to name but a few. They will provide bioinformatics support to all of the research programs at the institute
Minimum Requirements: Ideal candidates will have a degree in computing, computational biology, bioinformatics or a related computational subject, a strong proficiency in Linux, and an ability to program in at least one programming language to an advanced level

Deadline: August 4, 2018 | Published: July 6, 2018   21:38              

Department: UCL Institute of Education
Workload: 100%
Duties: You will provide key support for IOE preparations for Research Excellence Framework (REF) exercises, develop and pioneer new metrics, develop, optimize and maintain IOE research information systems, and work closely with academic and professional services colleagues within the IOE and the UCL Office of the Vice Provost Research (OVPR)
Minimum Requirements: This role requires a high level of data management, analysis and reporting expertise; the ability to manage a complex workload and take the initiative. In addition, they will be a strong team player, sharing information and ideas and supporting colleagues as part of a multi-functional team

Deadline: August 2, 2018 | Published: July 6, 2018   11:38              

Department: Great Ormond Street Institute of Child Health
Duration: 10+ m        Workload: 100%
Duties: Applications are invited for the position of research coordinator to work on research studies on childhood arthritis and myositis, in the Rheumatology department at the UCL Great Ormond Street Institute of Child Health, additionally providing recruitment and support to wider departmental research. The post is funded by the N Thames NIHR CRN. The post involves undertaking research and administrative roles in both academic and clinical settings. The post holder will be responsible for recruiting to studies, collecting and transcribing data, as well as data monitoring and input
Minimum Requirements: Applicants must have a first degree or equivalent, preferably in a numerate/scientific discipline, or significant experience in a similar role. The post holder should have some experience of clinical research and data collection, working within the NHS or other medical/clinical environment. The post holder must have the ability to establish and maintain good relations with a wide range of individuals, including patients and families, be able to work as part of a team as well as independently, and show good time management, multitasking and organisational skills

Deadline: July 18, 2018 | Published: July 6, 2018   07:58              

Department: Department of Geography
Duration: 6 m        Workload: 55%
Duties: The Department of Geography at UCL is a research-led department with an international reputation, offering innovative teaching programmes at both undergraduate and postgraduate levels. The Department wishes to appoint a Teaching Fellow in the area of spatial data/remote sensing to provide teaching on a core module and assist on undergraduate and postgraduate programmes
Minimum Requirements: The successful candidate for this position will have a PhD, or a final stage doctoral thesis in a discipline that focuses on the analysis of spatial data and modeling.and an excellent understanding of the content of the modules to be covered. Good programming skills, particularly Python in a unix environment is essential

Deadline: July 25, 2018 | Published: July 6, 2018   07:49              

Department: Cancer Institute
Duration: 1+ y        Workload: 100%
Duties: The successful applicant for the bioinformatics position in the TRACERx initiative will be based within the Translational Cancer Therapeutics laboratory at the new Francis Crick Institute. The successful candidate will join a successful multi-disciplinary team of cancer evolutionary biologists and lung cancer translational research clinicians where all stages of novel cancer treatment, from design of therapeutics, through pre-clinical imaging, to application in the clinic are achievable within the UCL Cancer Institute and the Francis Crick Institute
Minimum Requirements: The role is ideally suited for a creative individual with a strong interest in cancer evolution, software development and testing, database analysis, and automation within a high throughput academic setting interested in working at the Francis Crick Institute. We seek a candidate with strong software engineering and programming skills who is keen to apply these skills to the field of cancer evolurionary biology. The successful applicant will have previous experience with NGS data analysis, be fluent in at least one of the following programming languages: C++, Python or R, and is expected to have strong skills in the field of genomics and desirably one or more of the following: cancer biology, evolutionary biology, statistics, mathematics or machine learning. Prior experience with data analysis based on integrating large datasets is particularly desired. The candidate will be expected to work within the TRACERx informatics team and utilise evolutionary, mathematical and statistical meth...

Deadline: August 4, 2018 | Published: July 5, 2018   06:57              

Department: Cancer Institute
Duration: 1+ y        Workload: 100%
Duties: The focus of the project is the investigation of lung cancer evolution and the development of high throughput bioinformatics techniques to decipher cancer mutational signatures, tumour evolutionary trajectories and interactions with the tumour microenvironment through the disease course. The candidate will be expected to work within the TRACERx informatics team at the Francis Crick Institute and utilise evolutionary, mathematical and statistical methods to deconvolute cancer evolution based in particular but not exclusively upon next generation sequencing data
Minimum Requirements: The successful applicant will have a proven track record of publications, have previous experience with NGS data analysis, be fluent in at least one of the following programming languages: C++, Python or R, and is expected to have strong skills in the field of genomics and desirably one or more of the following: cancer biology, evolutionary biology, statistics, mathematics or machine learning. Prior experience with data analysis based on integrating large datasets is particularly desired

Deadline: August 4, 2018 | Published: July 5, 2018   06:51              

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: July 5, 2018   00:19              

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: July 5, 2018   00:18              

Department: School of Psychology
Duration: 18 m        Workload: 50%
Duties: The main duty will be to write a Welsh-medium Research Methods e-book. Additional duties include attending Welsh-medium lectures, editing existing materials and resources, supervising internships, creating collaborative links with other departments, and attending regular project meetings
Minimum Requirements: Candidates should hold an undergraduate degree in a subject with a strong foundation of research methods and statistics (including, but not limited to, Psychology, Biology, Social Sciences, Healthcare Sciences, and Business); and should have a strong understanding of research methods and statistics. The ability to understand and explain research methods and statistics in a competent and confident way is essential for this post. The ability to communicate in Welsh (both in oral and written form) is essential for this post

Deadline: July 20, 2018 | Published: July 4, 2018   23:21              

Department: School of Medicine
Workload: 75-100%
Duties: Specifying data analyses and interpretation within the safe havens of EDRIS and HIC (UoD Health Informatics Centre). Dealing with complex bio-statistical analysis and modelling. Working independently. Liaising with collaborators both within and outside of Dundee. Leading the writing of the final reports and peer-reviewed publications based on the statistical analysis
Minimum Requirements: You will hold a higher degree in statistics, epidemiology or an equivalent subject, and have. Relevant experience of biostatistics as well as data management skills and quantitative analysis of routine health services data. You will have a track record of publications in epidemiology or cardiovascular disease or a relevant clinical area, and. Experience of analyzing large datasets. Our ideal candidate will be able to demonstrate the ability to liaise effectively and have excellent time management skills, meeting deadlines when necessary

Deadline: July 29, 2018 | Published: July 4, 2018   20:09              

Department: Research Department of Neuroscience, Physiology & Pharmacology
Duration: 1+ y        Workload: 100%
Duties: Applicants are invited for a post of Research Associate in a leading neuroscience research group. Electrophysiological, confocal and 2 photon imaging, ion imaging, histological and mathematical techniques will be used to study how changes of the structure of myelinated axons tune conduction velocity and circuit function, both in health and in pathological conditions
Minimum Requirements: The successful candidate will have a PhD (awarded or submitted) in a relevant subject area and demonstrable comprehensive knowledge in the subject area. The successful applicant will be required to have expertise in dual patch-clamping of neurons in order to study plasticity of the node of Ranvier or axon initial segment; studying synaptic plasticity using electrophysiological techniques; studying axon properties using ion imaging techniques; obtaining and analysing immunocytochemical imaging data and microsurgery for brain slicing. Experience in use of imaging programmes such as Metamorph and/or ImageJ is essential. The Researcher joining the lab will also be experienced in writing and publishing papers for high profile journals, and in guiding undergraduate research projects. Evidence of contributing to research bids is advantageous

Deadline: August 3, 2018 | Published: July 4, 2018   06:42              

Department: Institute of Neurology
Duration: 1+ y        Workload: 100%
Duties: The successful applicant will join a team developing software systems for recording, organization and analysis of large datasets recorded in our neurophysiology lab. Once established, these systems will be shared with the worldwide neuroscience community
Minimum Requirements: This position would suit graduates in Neuroscience, Computer Science, Engineering, Physics, Mathematics, or a related field. Strong programming skills are essential (MATLAB, Python, C++, and Java), as well as experience with version control systems. Knowledge of machine learning, digital image/signal processing, REST APIs, or relational databases is a plus

Deadline: August 4, 2018 | Published: July 4, 2018   06:37              

Department: Division of Biosciences
Duration: 3+ y        Workload: 100%
Duties: The successful individuals will become active members of both the Computational Systems and Synthetic Biology group and UCL Genetics Institute, and contribute to the development of cutting-edge computational research in cell and cancer biology. In addition to designing and conducting the research, the successful candidates will write and communicate results as scientific papers and in scientific presentations at national and international conferences
Minimum Requirements: A PhD (or about to submit) including a substantial amount of mathematical modelling, statistical modelling or bioinformatics is essential as is strong computer programming skills (ideally including a low level language such as C/C++). Desirable attributes include: experience in developing statistical algorithms such as MCMC or SMC; experience in implementing sequence analysis pipelines; graph theory based approaches to data analysis; and a background in cancer, evolutionary or cell biology

Deadline: August 3, 2018 | Published: July 4, 2018   06:35              

Department: Physics and Astronomy
Duration: 3+ y        Workload: 100%
Duties: The project involves studying the self-organisation and mechanics of the cell cytoskeleton using theory and computational simulations. The goal is to decipher the molecular principles underlying the assembly, stability and dynamics of cytoskeletal structures and the regulation of eukaryotic cell shapes. We seek to develop a cross-scale understanding of how cell polarization is generated and stabilized, and how to control dynamic transitions between different cell morphologies
Minimum Requirements: The successful applicant will have a PhD in Physics, Biophysics or Computational Biology, with expertise in Statistical Physics, Soft Matter Physics, and/or Computational Methods for the modelling of non-equilibrium soft matter systems. Candidates should have the ability for creative and original research of the highest impact, as demonstrated by a strong scientific publication track record in highly regarded international peer-reviewed journals. Knowledge of non-equilibrium statistical mechanics, soft matter physics, and cell mechanics is desirable

Deadline: August 3, 2018 | Published: July 4, 2018   06:32              

Department: Medical Physics and Biomedical Engineering
Duration: 4 y
Duties: We are looking for a motivated and talented student to play a critical role in advancing and applying a new generation of wearable brain imaging systems. Our group is a world leader in Diffuse Optical Tomography (DOT): a technique that uses near-infrared light to produce 3D images of brain function. We have recently developed range of wearable DOT technologies that make it possible to image human brain function in almost any environment. The successful candidate will play a key role in the translation of a new version of this technology to the neonatal clinic, to image the brain of newborn infants at risk of cerebral palsy
Minimum Requirements: Applicants are expected to have a good first degree in a physics, engineering or mathematics at 2: 1 or above. Experience in optics, numerical computing and programming in languages such as C/C++ will be advantageous. Applicants must be interested in imaging technologies, particularly as applied to neuroscience and healthcare. They must also have an interest in data analysis, and have the ability to communicate complex ideas to a range of audiences. Applicants must have a first degree in an appropriate engineering discipline: Physics, Biomedical Engineering or a related subject, passed at a 2: 1 level or above. Proficiency in applied mathematics, Matlab or other programming experience are a distinct advantage

Deadline: July 31, 2018 | Published: July 4, 2018   06:30              

Department: Dept of Medical Physics & Biomedical Engineering
Workload: 100%
Duties: The Wellcome/EPSRC Centre for Surgical and Interventional Sciences at UCL invites applications for scientists and engineers (MSc/PhD) with a strong background in the computational, mechanical and physical technology that underpins modern healthcare. Post-holders will lead the development of cutting edge new research, interface with the wider technical team and clinical partners, and actively engage in research dissemination and intellectual property
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: July 31, 2018 | Published: July 3, 2018   23:04              

Department: Computer Science
Duration: 16 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
Minimum Requirements: An Honours degree in a related area e.g. BSc/MSc Computer Science or Math or a closely related area. Knowledge and sound understanding of Data Science approaches. Experience of machine learning methods such as deep learning, convolutional neural networks, spiking neural networks and recurrent neural networks. Understand the learning algorithms of machine learning such as backpropagation, real time recurrent learning and Levenberg marquardt algorithm. Application and interview. Programming skills Good programming skills in any one of the following (Java, Python, C++, C#, C). Experience of programing in R, Matlab and/or TensorFlow. Familiarity with data tools and technologies such as Postgres, Scikit Learn

Deadline: July 24, 2018 | Published: July 3, 2018   18:56              

Department: Gatsby Computational Neuroscience Unit
Workload: 100%
Duties: The Gatsby Computational Neuroscience Unit at University College London invites applications for an academic position in machine learning or statistics at the rank of Lecturer, Reader/Associate Professor or Professor. We especially seek candidates whose work addresses fundamental probabilistic or statistical machine learning. The appointment will be made at a rank appropriate to the experience and international standing of the successful candidate
Minimum Requirements: A very strong analytical background in machine learning, mathematics, physics, computer science, statistics and/or engineering. Faculty members are expected to have a detailed knowledge and understanding of the literature in their appointed research fields, be proficient in its application and have a ready ability to acquire and absorb new information, methods and techniques in the service of research goals

Deadline: March 31, 2019 | Published: July 3, 2018   10:59              

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: July 3, 2018   01:27              

Department: IT Services, Applications
Workload: 100%
Duties: The role encompasses all aspects of the university’s information management focusing on: Data warehousing. BI content management. Reporting. Analytics. You will develop and maintain data marts in our enterprise data warehouse, integrating information from various sources. This will include business analysis, data modelling and excellent communication and interpersonal skills as you take on the challenge of the continually increasing business demands for intelligence. To administer and develop the technical environment within which people at all levels obtain information. To gather and analyse requirements, specify, design, develop and deploy relational and multi-dimensional reporting portals, dashboards and scorecards
Minimum Requirements: Within a complex data warehouse environment, handson data warehousing project experience and experience in full life cycle Business Intelligence requirements gathering and analysis, development, implementation, tuning and support. Hands-on experience in relational and multidimensional data modelling, including multiple source systems from databases and flat files, and the use of standard data modelling tools. Hands-on experience of ETL development (preferably using Wherescape RED). Experience working with BI software (preferably Cognos BI, including Framework Manager and Report Studio at version 10 or above. Educated to degree level or equivalent technical or professional qualifications

Deadline: July 26, 2018 | Published: July 3, 2018   01:21              

Department: UK Dementia Research Institute (UK DRI)
Workload: 100%
Duties: Successful appointees will be expected to enhance the reputation of the Department in the field of dementia research through the development of research programmes, contributing to effective teaching and training, and supporting the good governance of the Division. More generally, the post-holder will be expected to inspire collaboration within the Division and enhance its intellectual community. Research programmes should address fundamental neuroscientific opportunities with the ultimate aim of improving health outcomes for people with dementia or those at risk
Minimum Requirements: While we welcome applications from outstanding scientists without previous experience specifically in neurodegeneration research who wish to shift to a focus on dementia, we are particularly interested to consider applications from those experienced in the area who have been working with in vitro or animal models of aspects of the biology of the dementias

Deadline: August 26, 2018 | Published: July 1, 2018   07:48              

Workload: 100%
Duties: As a Predictive Modeller you will be part of a growing and exciting Predictive Analytics Team with UKGI Underwriting, which is responsible for delivering predictive modelling, statistical services and solutions across the business. Your job will comprise claim cost modelling, geographical modelling, demand modelling, as well as providing R&D services to test and implement new data sources and statistical techniques that can drive and improve our performance. You will have the opportunity to make an immediate impact on business success and by using predictive modelling, bring the right solutions to the whole organisation
Minimum Requirements: Statistician/Actuarial analyst with a background in predictive analytics. Strong degree or MSc/PhD in a numerical subject (Maths, Statistics, Science). Some experience applying a statistical model and predictive analytical techniques. Exceptional numerical ability and data manipulation. Naturally inquisitive with the ability to challenge data. Understand customer needs and knowledge of insurance business products and services. Strong presentation and communication skills and ability to engage non-technical audiences. Experience of deploying different model types. Knowledge of Emblem and at least one of the following statistics and data manipulation packages (SAS, R, Python)
Preferred Requirements: Knowledge of WTW Emblem is highly desirable. Previous experience in insurance is desirable. Previous experience of the insurance/financial industry is highly desirable

Published: June 30, 2018   21:31              

Department: School of Earth Sciences
Duration: 22 m        Workload: 100%
Duties: The Bristol Paleobiology group in the School of Earth Sciences at Bristol is inviting applications for a Research Associate to work on the NERC funded grant Functional evolution of the early tetrapod skull. The aim of the project is to determine the functional consequences of changes to vertebrate skull morphology across the fish-tetrapod transition. The Research Associate will create 3D digital biomechanical models of early tetrapod skulls - and those of extant relatives - via segmentation of CT scan datasets, and creation and analysis of finite element and/or musculoskeletal models
Minimum Requirements: You must have a PhD in geoscience, bioscience, (or related fields), extensive research experience in palaeobiology and/or organismal biology, experience working with CT datasets, comparative biomechanics and/or functional morphology, and good working knowledge of computational biomechanical analyses techniques

Deadline: July 29, 2018 | Published: June 30, 2018   17:11              

Duration: 3 + y        Workload: 100%
Duties: We are looking for a Postdoctoral Researcher to join our MSc in International Health and Tropical Medicine team. As the Postdoctoral Researcher in Social Sciences for Health, you will be facilitating research and teaching links between the Oxford Tropical Network (OTN) and Social Sciences across Oxford University with teaching focused on the MSc in International Health and Tropical Medicine
Minimum Requirements: You will hold a relevant PhD/DPhil or equivalent (intersecting health and social sciences) and demonstrate an interest in health research in low income settings. You will have familiarity with a wide range of methodologies employed in social and health sciences (including both qualitative and quantitative research), along with experience teaching at the postgraduate level and the ability to independently plan and manage a research project

Deadline: July 27, 2018 | Published: June 30, 2018   11:17              

Department: Wolfson Institute of Preventive Medicine
Duration: 2 y        Workload: 100%
Duties: Applications are invited from excellent graduates in statistics or other disciplines with a significant quantitative component, for a prestigious training fellowship in research methods, funded by the National Institute for Health Research. The aim of the fellowship is to increase capacity in statistical methods related to medical research through training and research. The successful candidate will develop statistical models of different bowel cancer screening regimens, in particular dynamic and personalised regimens
Minimum Requirements: Applicants must have a first or upper second class degree in statistics, mathematics or other quantitative discipline. They should also have good analytic and communication skills and some understanding of the research process
Preferred Requirements: If the appointed Fellow does not already hold a Master’s degree, the first year will be spent attending the MSc in Medical Statistics at London School of Hygiene and Tropical Medicine, the fees for which are included in the fellowship. It is anticipated that the Fellow will work on the models of bowel screening as their MSc project and will continue this work as a full-time researcher in the second year of the fellowship. The fellow will also be encouraged to develop an application for an NIHR Doctoral Fellowship during the second year

Deadline: July 29, 2018 | Published: June 29, 2018   06:56              

Department: Department of Mechanical Engineering
Duration: 3 y
Duties: The aim of this studentship is to develop tools for the pre & post-operative in-silico planning and treatment for Aortic Dissections
Minimum Requirements: Applicants should have an MSc or equivalent in Biomedical Engineering, Mechanical Engineering, Aeronautical Engineering, Physics, Applied Mathematics or a related subject. Strong background in biomedical engineering, mechanical engineering, aeronautical engineering, physics, applied mathematics; in particular, strong knowledge of how to derive and manipulate differential equations. Excellent programming skills in any of the following languages: C, C++, FORTRAN, Matlab, Octave or Python, Good oral written and presentation skills and Experience in CFD

Deadline: August 31, 2018 | Published: June 28, 2018   14:27              

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: June 28, 2018   12:45              

Department: Liquid Metal Engineering
Duration: 2 y        Workload: 100%
Duties: The successful candidate will work on the development of numerical models to optimise application of high-strength aluminium alloys in the manufacture of light-weight automotive structures. The work will include setup, implementation, and experimental verification of numerical models to simulate the relevant metallurgical processes, as well as participation in the analysis of downstream forming and joining processes for component manufacture. The work requires close interaction with other researchers in BCAST/AMCC/AMPC and research engineers from industry
Minimum Requirements: The candidate should have a PhD degree in Metallurgy, Materials Science, Mechanical Engineering, Physics, or a related field of science or engineering, with a sound background in numerical modelling. Research experience in modelling of metallurgical processes, as well as a working knowledge of simulation software are essential. In addition, the candidate should have good communication and presentation skills and be a team player

Deadline: July 23, 2018 | Published: June 27, 2018   17:14              

Department: Clinical Studies
Duration: 2 y        Workload: 100%
Duties: The role will be centred on constructing clinical trial databases using commercial products and providing first and second line IT support on the Unit's IT Helpdesk. Creating clinical database systems using Elsevier Macro clinical trial database management system. Providing first and second line support on the ICR-CTSU IT Helpdesk. Adapting and maintaining existing Macro clinical databases. Testing of clinical databases. System documentation. Maintain in-house trial data management systems, as required
Minimum Requirements: First degree in Computer Science/Information Systems or First degree in a scientific/numerate field with practical experience of working in an IT environment and programming knowledge. Basic experience of programming databases
Preferred Requirements: Basic experience of writing SQL scripts. Experience of database and systems programming/administration in a research or health service/clinical environment. Experience with Crystal Reports or a similar report writing tool. Experience with the MACRO clinical trial data management system. Familiarity with data analysis packages, e.g. SPSS, Stata

Published: June 27, 2018   16:40              

Department: MRC Clinical Trials Unit at UCL
Workload: 100%
Duties: Writing user-friendly statistical software is central to the dissemination of our methodology. The position will involve writing new software to implement newly developed methodology; enhancing existing software by adding new functionality, correcting errors, improving documentation and supporting users; and improving the methodology theme’s approach to validating its statistical software
Minimum Requirements: The successful candidate will have a degree in a scientific subject, preferably a higher degree related to statistics; interest in methodological development in a biomedical environment; preferably experience or knowledge of medical statistics, experience of writing and documenting software (ideally statistical software in Stata); ability to write good code; and will work effectively with methodologists and users

Deadline: July 23, 2018 | Published: June 27, 2018   06:50              

Department: Electronic & Electrical Engineering
Duration: 2+ y        Workload: 100%
Duties: We are looking for a talented research assistant to join our team and help us fulfil the projects' goals, producing quality research in transfer learning or discriminative domain adaptation for visual data analysis and recognition problems, including but not limited to, the problems and data modalities mentioned above. The work will involve design, development and implementation work and publishing high quality research papers in high-ranked conferences and journals
Minimum Requirements: Applicants are required to have a Masters degree (or 4 or 5-year undergraduate degree) in Computer Science, Electronic Engineering or a related field. Fluency in Python and Matlab programming evidenced by previous usage in research papers is essential, as is an understanding of data science and machine learning, evidenced by high marks in related graduate -level modules or completion of related online courses in Coursera or similar. It is desirable that applicants have some exposure in the use of machine learning libraries like Caffe, Tensorflow, Keras or similar, evidenced by extensive use in data problems, competitions or research publications. The full person specification can be found in the job description

Deadline: July 26, 2018 | Published: June 27, 2018   06:44              

Department: MRC Clinical Trials Unit at UCL
Workload: 100%
Duties: Take responsibility for statistical aspects of the trials: Developing statistical analysis plans and working practices, undertaking analyses, preparation and presentation of reports, discussion and interpretation of results, assisting in the preparation of conference abstracts and papers for peer reviewed journals. Take responsibility for day to day management of statistical aspects of the studies: Liaising on data quality, actively providing a statistical viewpoint for decisions about trial management, and identification of potential problems impacting on final results. Provide statistical advice on the development of new research proposals, including study design and sample size calculations
Minimum Requirements: You will have an enthusiastic approach, excellent communication skills, and proven ability to prioritise and work to deadlines. You should have a good understanding of statistical concepts and familiarity with one or more statistical packages, a good understanding of randomised controlled trials principles. You will have practical experience of statistical methods in analysing trial data, experience of working with multi-disciplinary teams and preparing/presenting reports. You will be able to communicate effectively and professionally with a wide range of stakeholders at all levels. Knowledge of the biology and epidemiology of cancer is desirable

Deadline: July 23, 2018 | Published: June 27, 2018   06:38              

Department: MRC Clinical Trials Unit at UCL
Workload: 100%
Duties: Responsibility for day to day management of statistical aspects of the studies: Liaising on data quality, actively providing a statistical viewpoint for decisions about trial management, and identification of potential problems impacting on final results. Provision of statistical advice on the development of new research proposals, including study design and sample size calculations. For proposals that are funded - assist in the development of case report forms and specifications for analysis datasets, and the study database
Minimum Requirements: The successful candidate will have an enthusiastic approach, excellent communication skills, and proven ability to prioritise and work to deadlines. S/he should have a good understanding of statistical concepts and familiarity with one or more statistical packages, a good understanding of randomised controlled trials principles. S/he will have practical experience of statistical methods in analysing trial data, and experience of working with multi-disciplinary teams and preparing/presenting reports. S/he will have experience of working within Higher Education and/or research organisations or similar environment, and be able to communicate effectively and professionally with a wide range of stakeholders at all levels. Knowledge of the biology and epidemiology of cancer is desirable

Deadline: July 23, 2018 | Published: June 27, 2018   06:29              

Department: MRC Clinical Trials Unit at UCL
Workload: 100%
Duties: Responsibility for undertaking additional analyses relating to the randomized comparisons within a recently completed trial in children with severe anaemia in Africa (TRACT, ISRCTN 84086586) together with wider epidemiological analyses to explore the impact of blood transfusions and other management strategies in this patient population, under supervision of an experienced statistician. Responsibility for preparing reports of analyses; discussing and interpreting reports and results with colleagues and collaborators in the trial; and assisting in the preparation of conference extracts and papers for submission to peer reviewed journals
Minimum Requirements: The successful candidate will have an enthusiastic approach, excellent communication skills, and proven ability to prioritise and work to deadlines. S/he should have a good understanding of statistical concepts and familiarity with one or more statistical packages, and a good understanding of the principles of randomised controlled trials. Practical experience of statistical methods in analysing medical data would be an advantage, as would experience of working with multi-disciplinary teams and preparing/presenting reports, experience of working within Higher Education and/or research organisations or similar environment

Deadline: July 23, 2018 | Published: June 27, 2018   06:24              

Duties: Tutoring in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics, Calculator Technical Assistance, GMAT & SAT, Others; you pay 150 CHF, Euro or US$ for your advert to appear on www.all-acad.com/Tutoring for one year

Published: June 26, 2018   00:18              

Department: Big Data Corridor (BDC)
Duration: 1 y        Workload: 100%
Duties: The responsibility mainly focuses on delivering the Big Data Corridor (BDC) project, search for SMEs to assist and collaborate with, to liaise regional industries, create and sustain networks of SMEs throughout the West Midland. Providing management and administrative support in all relevant aspects of BDC project activities, providing general advice and guiding to researchers involved into programs, monitoring program progress against the milestones and deliverables, organizing workshops and preparing media materials such as flyers and update content of the websites
Minimum Requirements: Minimum eligibility requirements for these roles include education to degree standard, some familiarity with SMEs and enterprise support, previous project management experience with grant funded projects, familiarity with ERDF compliance and a full driving license

Deadline: August 30, 2018 | Published: June 25, 2018   23:22              

Department: Grantham Research Institute on Climate Change and the Environment
Duration: 2 y        Workload: 100%
Duties: The successful applicant will conduct flood-resilience focused research under the Zurich Flood Resilience Alliance, an ambitious project that strives to contribute to the overall vision of de-risking communities from flood risk by providing evidence-based insight into understanding resilience and resilience decision-making. The appointee will be expected to play an active intellectual part in the project itself and be able to produce independent original research, collaborate with the diverse set of project partners, and conduct knowledge-transfer activities
Minimum Requirements: Candidates must have a PhD in a Social or Environmental Science, preferably with a focus on climate risk management, flood resilience, or risk governance. Excellent research management and good communication skills are essential, as is experience in qualitative and quantitative methodologies. Evidence of strong publications and a strong academic research background in climate risk, resilience and adaptation is essential

Published: June 25, 2018   13:39              

Workload: 100%
Duties: We are looking to recruit an enthusiastic Bioinformatician/Software Engineer, with broad biological experience, preferably with previous knowledge of metagenomics, and a strong interest in interacting with our services’ user community. You will be responsible for the community-informed design, implementation and publication of open data formats and tools to support existing and new metagenomics operations, such as around metadata standards compliance and binned and MAG assembly processes. You will also be involved in assuring smooth data flow from our data submitters and collaborators into ENA and onwards to EMG, using existing systems and the new tools that you develop
Minimum Requirements: Java 8. REST web services and batch processing. Modern JavaScript frameworks, preferably Angular. Relational and/or NoSQL databases. Working with XML format and schema. Unix/Linux environments. Git. Requirements gathering and specification based design. Working in a collaborative software environment
Preferred Requirements: The ideal candidate will hold a bachelors or higher degree in computer science or bioinformatics. Strong knowledge of molecular biology is required and specific experience in metagenomics is desirable. Some experience of working in a service capacity would be an advantage

Deadline: July 23, 2018 | Published: June 25, 2018   09:15              

Department: Bristol Medical School
Duration: 1 y        Workload: 100%
Duties: The Integrative Epidemiology Unit are seeking to recruit a talented individual to develop causal inference tools for epidemiology using Bayesian or other advanced statistical methodology. The goal is to leverage recent advances in databases of Genome Wide Association Studies (GWAS) results, such as MR-Base to improve understanding of the causal structure between genes and phenotypes, and between exposures and phenotypes. This position involves the development of methodology for performing causal inference in genetics using instrumental variables via Mendelian Randomisation, incorporating additional information such as the known effects of genetic loci (via MR Base) and population structure
Minimum Requirements: PhD (or have submitted the thesis) in Statistics/Biostatistics, Epidemiology, Bioinformatics, Computer Science or other relevant discipline with strong quantitative research background; track record of producing high quality research appropriate to the time spent in a research environment. • Working knowledge of statistics. • Experience with data analysis. • Programming skills in R, C, C++, perl, python or other appropriate scientific computing language. • Interest in epidemiology and genetics
Preferred Requirements: Experience working with large scale genetic datasets. • Knowledge of epidemiology, genetics or bioinformatics. • Knowledge of Bayesian statistics. • Knowledge of Machine learning or algorithms theory. • Knowledge of causal inference using instrumental variable methods. • Experience with collaborative coding

Deadline: July 22, 2018 | Published: June 23, 2018   13:46              

Department: Institute of Health Informatics
Duration: 3+ y        Workload: 100%
Duties: Applications are invited for a three-year position in the UCL Institute for Health Informatics, which is expanding its work in precision medicine
Minimum Requirements: The post would suit an individual whose background is in statistical genetics, genetic epidemiology, bioinformatics or clinical data science and with expertise in two or more of these areas. Experience in the analysis of sequence data, and the application of complex statistical models or statistical learning approaches would be advantageous. The post holder will be motivated and resourceful, an effective independent worker, and a collaborative member of an international multidisciplinary team. We place a strong emphasis on supporting career development and on the potential for independence

Deadline: July 22, 2018 | Published: June 23, 2018   06:41              

Department: Centre for Primary Care and Public Health - Blizard Institute
Duration: 2 y        Workload: 100%
Duties: The successful candidate will be responsible for analysis of existing data from the Avon Longitudinal Study of Parents and Children, in collaboration with Bristol University
Minimum Requirements: They will hold a PhD, and will have considerable experience of analysing epidemiological data

Deadline: July 19, 2018 | Published: June 22, 2018   15:32              

Duration: until 11 October 2019        Workload: 100%
Duties: To be an active member of a research team assisting with Stratified Medicines programme - the UK Refractory Asthma Stratification programme (RASP-UK). The successful candidate will join a multidisciplinary team with the goal of conducting clinical trial bio-statistical analysis including day-to-day management of a large multicentre clinical trial database, interim analysis and reporting of safety and outcome data to Investigator team and Trial Steering Committee. The post will also include computational, hypothesis-driven applied clinical research in respiratory disease using large existing clinical datasets
Minimum Requirements: 1. Have, or about to obtain, a PhD in public health, epidemiology, biostatistics or a related area. 2. At least 3 years recent, relevant research experience. 3. Publications commensurate with career stage. 4. Willingness to teach postgraduate/undergraduate students. 5. Ability to contribute to broader management and administrative processes. 6. Contribute to the School’s outreach programme by links with industry, community groups etc. 7. Sufficient breadth and depth of specialist knowledge in the discipline and of research methods and techniques to work within established research programmes. 8. Ability to communicate complex information clearly. 9. Ability to build contacts and participate in internal and external networks
Preferred Requirements: 1. PhD involving bio-statistical analysis of large clinical datasets. 2. Bio-statistical analysis of large clinical datasets. 3. Clinical trial analysis experience. 4. Grant, manuscript and abstract writing experience. 5. Have, or about to produce a peer reviewed publication from previous research work. 6. Research project management. 7. Evidence of having presented at conferences (poster or oral)

Deadline: July 17, 2018 | Published: June 22, 2018   11:43              

Workload: 100%
Duties: As part of the Actuarial Team you will support the wider IFRS 17 Project and more specifically the GI Actuarial work stream of the IFRS 17 Project. Assess and agree on the most suitable business models to use, providing input and challenge as appropriate. Draft suitable Actuarial Methodology papers to support decisions and obtain approval form the Project Steering Committee. Analyse and define Actuarial requirements based on the proposed business operating model. Update the project plan and ensure all Actuarial activity is defined. Review Actuarial processes and implement any required changes ensuring a smooth handover into business as usual. Liaise with and manage stakeholders across Actuarial and the wider organisation
Minimum Requirements: Fully-Qualified Actuary. Degree in Mathematics, Actuarial Science, Economics or equivalent. A serious and professional attitude towards compliance of regulatory submissions with an eye for attention to detail in order to support accuracy. A high level of numeracy skills and an analytical approach to work is essential

Published: June 22, 2018   08:48              

Department: Research Department of Structural & Molecular Biology
Duration: 3+ y        Workload: 100%
Duties: Developing improved classification of protein functional families. Development of algorithms for protein function prediction. Development and maintenance of a public website and an in-house database containing protein function data. The candidate will be part of the CATH-Gene3D team and contribute to the development of this well established international resource
Minimum Requirements: The successful candidate must have a PhD in a relevant field (computer science, bioinformatics or computational biology). Experience of web programming, Java, XML, Perl, Linux and SQL are desirable. Previous experience in bioinformatics research, especially in structure-function analysis of proteins, protein networks and machine learning is desirable

Deadline: July 21, 2018 | Published: June 22, 2018   06:50              

Department: Institute of Clinical Trials & Methodology
Duration: 1, 5+ y        Workload: 100%
Duties: The Comprehensive Clinical Trials Unit (CCTU) is a specialist unit set up within the Institute of Clinical Trials and Methodology with a specific remit to design, conduct, analyse and publish clinical trials and other well-designed studies. The post holder will be responsible for the co-ordination and supervision of all statistical aspects of specific research projects, liaising with relevant CCTU staff to support data management, interim and final analyses and presentation of reports to oversight committees. The post holder will also work with colleagues and external investigators to develop both outline and full research proposals for new trials, providing expert input into design issues and statistical resources required
Minimum Requirements: A Postgraduate qualification in Medical Statistics (or a closely related subject) or equivalent experience, and practical experience in clinical trials or related work. Familiarity with one or more statistical packages (preferably Stata). Experience of managing a discrete analysis project. Ability to take responsibility for the day to day management of statistical aspects of a project. Meticulous attention to detail. A flexible approach to work

Deadline: July 16, 2018 | Published: June 20, 2018   06:52              

Department: Cancer Institute
Duration: 6 m        Workload: 100%
Duties: Duties and responsibilities of the post holder include but are not limited to: develop a web site and database to host, visualize and serve the multi-dimensional data generated GCGR; consult and agree with the GCGR Steering group on the specs for the web site and database; perform computational analyses for dimensionality reduction, integration and visualization of the multi-dimensional GCGR data sets
Minimum Requirements: The successful applicant must have a PhD (or be studying towards it) in computer science or equivalent, demonstrate knowledge of programming, be experienced in dimensionality reduction of multi-dimensional data. Competence in programming using R for data analysis, JavaScript for data visualization, Python for machine learning, Scala for distributed computing and C++ for software development, competence in Database & OS using Linux (Ubuntu, Centos) and Windows, MongoDB for No-SQL databases and json format data storage, PostgreSQL/MySQL for SQL-based databases and Hadoop/Hive/Spark for distributed computing and experience in using GSEA for integrative analysis are also Essential Criteria

Deadline: July 19, 2018 | Published: June 20, 2018   06:50              

Department: Engineering, Materials and Electrical Sciences
Workload: 100%
Duties: The Dimensional Metrology Group is looking for a talented scientist or engineer to join a growing and highly motivated team to develop X-ray computed tomography for dimensional metrology. Typical applications are such as dimensional metrology of additive manufacturing. The successful candidate will work across several projects, including both research projects and industrial projects. The candidate is expected to be able to work collaboratively within a team and also be able to work independently. The projects may also involve a level of customer engagement and interaction is to be expected. Academic output through peer reviewed journals and conference presentations will be encouraged and there is ample opportunity for career development
Minimum Requirements: The successful candidate will hold a PhD or equivalent experience, in a related field (e.g. Physics, Mathematics, Engineering) and ideally have experience in the design, implementation and operation of industrial X-ray computed tomography and knowledge of reconstruction methods
Preferred Requirements: Further knowledge of dimensional metrology, instrument development, statistical data analyses and imaging processing would be an advantage. The ideal candidate will have experience in some or all of the following: reconstruction algorithms; scientific software development (e.g. MATLAB, LabVIEW, CUDA, C/C++); data analysis; basic electronics (design, build, test); knowledge/practical experience with X-ray and X-ray detector; design of experiment

Deadline: August 10, 2018 | Published: June 18, 2018   23:58              

Workload: 100%
Duties: This is an exciting time to ‘roll up your sleeves’ and immerse yourself in research, analysis, due diligence, client support, project management (to name a few). This role would suit someone who is comfortable working in a dynamic environment focused on delivering an exceptional client service. The main challenge of this role is managing multiple stakeholders. It’s important to be able to feel comfortable to manage their expectations
Minimum Requirements: Some experience/exposure the insurance or reinsurance industry. A Quantitative qualification. Project management support experience. Strong organisational skills and the ability to manage multiple relationships. Candidate should be comfortable working in dynamic highly pressured environment focused on client service. Aside from the above experience, we are looking for someone who wants to be an ‘all-rounder’ and dive in to help maintain and build a strong client experience. We are interested to encourage those who have the willingness to learn and be curious about our industry

Published: June 18, 2018   19:21              

Department: School of Mathematical Sciences
Duration: 21 m
Duties: The Probability Group at QMUL announces two postdoctoral positions in mathematical physics and spectral theory of disordered systems. The postholders will work with Professor Sodin and other members of the group, and conduct rigorous research in the spectral theory of random operators and random matrices, with possible connections to adjacent fields such as statistical mechanics, asymptotic representation theory, probability and dynamical systems

Deadline: July 15, 2018 | Published: June 15, 2018   06:22              

Department: School of Engineering & Materials Science
Duration: 22 m        Workload: 17.5 hours per week
Duties: The focus of this post will be on “Novel, deployable robot structures: design, fabrication and control”. In addition, successful candidate will be expected to contribute in the similar field to Innovate UK project “WormBot”. In the context of this research focus the RA will strongly contribute to the development and control of novel deployable robot structures, capable of conducting waste management and decommissioning tasks in the extreme environment of the nuclear industry. This will involve the development of appropriate control strategies, as well as the design and fabrication of such structures as well as

Deadline: July 15, 2018 | Published: June 13, 2018   19:16              

Department: School of Electronic Engineering & Computer Science
Duration: 2 y        Workload: 100%
Duties: The focus of this post will be on development and interfacing of novel, deployable robot structures for nuclear environment, as well as on the design and fabrication of tactile sensors. An important element of the work to be conducted will be on integrating sensors with robot structures. In the context of this research focus the PDRA will strongly contribute to the development and interfacing of novel deployable robot structures, capable of conducting waste management and decommissioning tasks in the extreme environment of the nuclear industry as well as the development and integration of appropriate tactile sensor solutions
Minimum Requirements: The successful candidate will have a PhD in Robotics or equivalent. Essential to this role the candidate must have significant knowledge of hardware design, data analysis and interpretation, knowledge of Solidworks/Inventor or other 3D/2D design software and be able to demonstrate research skills in writing technical reports. Expertise in 3D printing and prototyping, flexible, soft and stiffness-controllable robotics systems and in the fabrication and interfacing of robot structures are also essential

Deadline: July 15, 2018 | Published: June 13, 2018   17:28              

Department: Engineering
Duration: 2 y        Workload: 100%
Duties: Compare existing methodologies for traffic microsimulation and instantaneous vehicle emissions. Conduct traffic microsimulation using appropriate software (e.g. PTV Vissim) for distinct case study areas. Implement algorithms for instantaneous tailpipe and non-tailpipe pollutant emissions from road traffic microsimulations. Compare the advantages and disadvantages of different modelling approaches. Conduct collaborative research to quantify the air quality impacts of transport emissions. Write the emissions algorithms into software tools that can be generally applied to other traffic microsimulation networks. Disseminate project research outputs at conferences and in scientific journal publications
Minimum Requirements: Applicants must have a PhD in Engineering, Computer Science or a related subject. They must possess a mixture of skills including knowledge of vehicle emissions and transportation modelling, computer programming, experimental design and data analysis. The successful candidate will be able to construct emissions models and traffic simulations, gather and analyse the data, develop computer models and validate them. The successful candidate will have excellent communication skills, be able to liaise with industrial and academic members of the research group confidently. Working knowledge of vehicle emissions, traffic simulation, data management, model development and validation

Deadline: July 20, 2018 | Published: June 9, 2018   15:37              

Workload: 100%
Duties: The objective of these awards is to enable distinguished academics based overseas to spend between 3 and 12 months inclusive at a UK university, primarily in order to enhance the skills of academic staff or the student body within the host institution. It is recognised that Visiting Professors may also wish to use the opportunity to further their own academic interests. The over-riding criteria for selection are first the academic standing and achievements of the visitor in terms of research and teaching, and secondly the ability of the receiving institution to benefit from the imported skills and expertise. Priority will be given to new or recent collaborative ventures

Published: June 7, 2018   21:26              

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: June 7, 2018   10:43              

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: June 7, 2018   07:03              

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: June 6, 2018   19:44              

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: June 6, 2018   16:24              

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: June 6, 2018   07:09              

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
Minimum Requirements: Applications for research in any subject area within the Trust’s normal remit will be eligible for support

Published: June 6, 2018   06:59              

Department: School of Mathematics & Statistics
Workload: 100%
Duties: Take a leading role in the planning and conduct of assigned research in one of the areas of algebraic geometry, noncommutative algebra or representation theory, as highlighted in the Programme Grant. To help to develop links and build common methodology between the different areas of algebraic geometry, noncommutative algebra and representation theory. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. Undertake any other duties of equivalent standing as assigned by the Head of School and/or PI
Minimum Requirements: Normally Scottish Credit and Qualification Framework level 12 (PhD) in Mathematics or alternatively possess the equivalent in professional qualifications and experience, with experience of personal development in a similar or related role(s). Specialist theoretical and practical knowledge in one of the areas of algebraic geometry, noncommutative algebra or representation theory. A comprehensive and up-to-date knowledge of current issues and future directions within the wider subject area or subject specialism
Preferred Requirements: An emerging national or international reputation

Published: May 27, 2018   16:48              

Department: Radiotherapy and Imaging
Duration: 1 y        Workload: 100%
Duties: We are looking for an enthusiastic and committed Data Manager to work within the Department of Radiotherapy Clinical Trials Unit on a portfolio of trials related to the development of the magnetic resonance linear accelerator. The successful applicant will provide data management support to the Academic Uro-Oncology Unit, with responsibility for the collection, co-ordination and data entry related to the MR Linac (MRL) clinical trials on both trial case report forms and electronic database systems
Minimum Requirements: Applicants will be educated to at least Degree level or equivalent with experience of working in a medical and clinical trials environment with direct patient contact. They must have excellent communication and customer service skills to ensure highly effective and appropriate communication both with patients and with external partners
Preferred Requirements: A sound working knowledge of the regulatory framework underpinning UK Clinical Trials and the implementation of clinical trial protocols in accordance with ICH GCP within an investigator site is desirable

Published: May 27, 2018   15:58              

Duration: 2 y
Duties: Provide specialist skills in the field of Future Manufacturing as described in for the ASTUTE 2020/ASTUTE EAST operation at Swansea University to enable applied, collaborative research with companies. This will include effective liaison with academic and other staff at all partner institutions in order to achieve the aims of ASTUTE 2020/ASTUTE EAST and to thus deliver collaborative R&D projects. Develop, adapt and deploy future manufacturing technologies with collaborating companies. Prepare technical reports and assist with progress reports for collaborative R&D projects
Minimum Requirements: Have a good undergraduate degree in an appropriate discipline such as engineering, science, computing or mathematics. Be self-motivated, apply and use their initiative, aiming to determine suitable ways to tackle challenges and seeking guidance when needed. Pro-actively contribute to and conduct R&D, including gather, prepare and analyse data, generate original ideas and present results. Prepare journal papers and reports describing the results of the R&D which may be either confidential or for publication. Interact positively and professionally with other collaborators and partners within the College and elsewhere in the University and beyond in industry and academia. Contribute to College organizational matters in order to help it run smoothly and to help raise its external research profile. Keep informed of developments in the field in technical and specific terms and their wider implication for commercial applications and the knowledge economy. When requested act as a repre...

Published: May 24, 2018   09:52              

Workload: 100%
Duties: This research aims to increase mineral accumulation in wheat to improve human nutrition, specifically focusing on Fe and Zn uptake. To undertake research on the Cameca NanoSIMS to investigate the distribution and uptake route of isotopically labelled iron in wheat grains. To explore the capabilities of the RF plasma oxygen source to detect iron and zinc in wheat grain at trace levels. Attend and contribute to CROPNUT meetings. Analyse and interpret the NanoSIMS data and draw conclusions. Explore other research techniques and methods such as ToF-SIMS and SEM on these samples. Write up research work for publication and reports for the project. Present research to project partners and to the wider community at conferences
Minimum Requirements: Have, or be about to obtain, a relevant PhD (or equivalent). Hands on experience with microscopy involving chemical mapping or mass spectrometry techniques. The ability to evaluate and interpret complex data. Excellent communication and interpersonal skills
Preferred Requirements: Hands on experience with NanoSIMS. Experience with cryo preservation of biological samples. Experience with wheat grain biology

Published: May 12, 2018   21:26              

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