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Department: Department of Science, Technology, Engineering and Public Policy (UCL STEaPP)
Workload: 100%
Duties: The postholder will carry out teaching and progressing our partnership with UniSA. This post will be based in Adelaide, Australia. The postholder will also be required to deliver excellence in both teaching and research at an internationally recognised level together with knowledge transfer/exchange and enabling
Minimum Requirements: The successful candidate will have excellent interpersonal skills and proven oral and written communication skills coupled with demonstrable evidence of the ability to teach and to supervise academic work by masters and doctoral students are required. The post holder will have the ability to work collaboratively both with colleagues at UCL Australia, the Faculty of Engineering, UCL, and UniSA, the wider UCL community and with Australian academic, public and business bodies in the energy and resources sector

Deadline: October 2, 2017 | Published: September 19, 2017   12:49              

Duration: 3 y
Duties: The main purpose of the first postdoctoral position is to develop mathematical models of analogue transcriptional dynamics and its potential regulation by antisense transcription. The main purpose of the second position is to develop models of DNA methylation dynamics
Minimum Requirements: The ideal candidates will possess a PhD in Theoretical Physics, Bio-Mathematics or Computational Biology. They will possess a strong interest in biological problems and have achieved demonstrable scientific success in previous roles. Prior experience of biological modelling is desirable but not essential

Deadline: October 13, 2018 | Published: September 18, 2017   16:28              

Department: Aviation Intelligence, Advanced Technology Innovation Centre
Duration: 18 m        Workload: 100%
Duties: Capturing, indexing/annotating and storage of big data including distributed processing of large data. Effective data cleaning, conditioning and pre-processing that will directly benefit the final project outcomes. Understanding the use of state-of-the-art feature detection, feature extraction, classification and clustering (i.e. machine learning) algorithms capable of delivering the prediction and descriptive analytic capability. Integrating an end-to-end data capture, storage, predictive and descriptive analytic capability and creating an associated software/IP product
Minimum Requirements: Degree (min 2: 1) or MSc in Computer Science or closely allied discipline

Deadline: October 13, 2017 | Published: September 18, 2017   13:48              

Department: Centre for Academic Mental Health
Duration: 2 y        Workload: 100%
Duties: The research may include randomised and non-randomised designs, epidemiological studies, and the development of new research measures. The applicant will be expected to lead their own research and to provide methodological support to others. A key priority for this post will be to build on the successful partnership between the University of Bristol and the NHS, via Avon Primary Care Research Collaborative, and to develop an externally funded research programme, at least some of which is conducted with Clinical Commissioning Groups (CCGs) in Bristol, North Somerset and South Gloucestershire
Minimum Requirements: We are seeking to appoint an experienced quantitative researcher who has an established track record in leading and conducting research in relation to important questions affecting primary care mental health. This will have been demonstrated by success in attracting external grant funding leading to high quality peer-reviewed publications. The successful applicant will have an interest and expertise in applied quantitative research methods. They may have a background in epidemiology, medical statistics, psychology, or another relevant quantitative science. We want to recruit someone who is interested in the application of quantitative skills to address practical research questions in relation to primary care mental health

Deadline: October 18, 2017 | Published: September 18, 2017   13:48              

Workload: 100%
Duties: Monitor a large number of schemes and chase EBCs for prompt premium payment. Process monies received into ZCR on to the appropriate company’s scheme. Taking inbound and making outbound telephone calls from customers. Administering the team’s mailbox to address customer queries. Pro-actively liaise with Account Managers, Customer Relationship Managers (CRM’s), Distributors and Customers to obtain outstanding requirements. Provide a market leading service experience for Customers. Share knowledge and expertise with other team members. Contribute to a positive and supportive team culture. Initiate and support implement process improvement ideas
Minimum Requirements: Effective at working independently as well as in collaboration with others. Able to build and maintain relationships at all levels of staff, both within and outside of the team. Commitment to provide high quality work in a time pressured environment, while ensuring deadlines are met. Attention to detail to achieve right first time results. Ability to analyse and interpret complex information to produce an output. Enthusiastic and positive attitude with a desire to continue to improve processes and help drive the business forward. Knowledge of corporate protection products, processes and services (ideal). Knowledge of corporate protection procedures, terms & conditions and technical guides (ideal)

Deadline: September 28, 2017 | Published: September 18, 2017   12:08              

Department: Computer Science
Duration: 2, 5+ y        Workload: 100%
Duties: We are looking for an outstanding researcher with expertise in Blockchain, Network Science, Data Science, Regulation, Peer-to-Peer economics or other relevant disciplines. The appointee will contribute to a research project on the investigation of the feasibility of using blockchain technology for automating regulation and compliance
Minimum Requirements: Candidates should have demonstrated a capability of conducting exciting world-class research in blockchain and related areas. They will be evaluated chiefly on their academic curricula and on the significance and novelty of their research to date. Candidates must hold an earned Ph.D. by the time of application, or being in the process of earning one. A proven record of ability to manage time and delivering work on time is desirable. The Computer Science Department at UCL is a highly collaborative environment, and we seek an appointee who enjoys working collaboratively within the department, and UCL overall. Candidates should further be committed to public communication, and to UCL's policy of equal opportunity, including working harmoniously with colleagues and students of all cultures and backgrounds

Deadline: September 29, 2017 | Published: September 18, 2017   07:48              

Department: Division of Medicine
Duration: 1+ y        Workload: 100%
Duties: This is an exciting opportunity to join a vibrant, interdisciplinary research collaboration developing gene reporter imaging methods (optical and nuclear) to investigate cell therapies and their role in cancer. The post would be suitable for candidates with a Molecular Imaging and Optical Imaging background and the projects encourage collaboration with chemists, physicists and biologists to develop cutting-edge imaging technologies for clinical translation
Minimum Requirements: To succeed in this role you will be a highly motivated and talented optical molecular Imaging scientist, with an interest in cancer therapy. The candidate should have a track record in genetic reporters, cloning, immune cell therapy and preclinical optical imaging. As well as having excellent research and communication skills, you will be a team player and be keen to work within a collaborative culture

Deadline: September 29, 2017 | Published: September 18, 2017   07:15              

Department: Centre for Advanced Spatial Analysis
Workload: 50%
Duties: We are looking for a research assistant to join CASA as part of the HIV Online Pathway and Smartphone project, a collaborative project between the London School of Nanotechnology and CASA. The aim of the project is to create an offline mobile application to read results from HIV rapid test strips using on-board device sensors. The major output from the project will be an online platform, and mobile application where test results will be collected, processed and analysed by machine learning models to inform and discover pathways to care as part of the wider iSense project
Minimum Requirements: The successful candidate will have knowledge of analytical and statistical programming languages (e.g Python (w.r.t Numpy, Scipy, R etc), and experience in developing clean, maintainable code with test harnesses; Experience in developing real-time data visualisations from developed analytical techniques and using real-time databases (Firebase, etc), and experience in using Machine Learning Techniques (Scikit Learn, Tensorflow etc) and Mobile Computing SDK’s (eg. Android) for practical applications in mobile computing. They will also have a Masters degree in a relevant field such as computer science, urban analysis, planning, economics, spatial analysis or a related subject

Deadline: September 29, 2017 | Published: September 18, 2017   00:27              

Duties: Would you like to contribute your creativity to an international team of scientists from all disciplines focusing on basic research in the molecular sciences? European Molecular Biology Laboratory (EMBL) invites you to apply for PhD positions in Barcelona, Grenoble, Hamburg, Heidelberg, Hinxton (near Cambridge) and Rome. EMBL opens the door to your scientific career – our students have an outstanding publication record, are a vital part of our global collaborations and receive their degrees jointly with our network of excellent partner universities in 17 countries. Our PhD positions come along with generous fellowships including broad health care benefits and pension access

Deadline: October 23, 2017 | Published: September 17, 2017   12:56              

Duration: 15 m        Workload: 100%
Duties: To contribute to the achievement of the School’s research strategy by developing and then undertaking novel research activities within the “Understanding scenes and events through joint parsing, cognitive reasoning and lifelong learning” research project. The aim of this project is to achieve “deep understanding of scenes and events through joint parsing and cognitive reasoning about appearance, geometry, functions, physics, causality, intents and belief of agents (e.g., robots), and use joint and long-ranged reasoning to fill the performance gap with human vision”
Minimum Requirements: A good first degree in a relevant subject (e.g. Computer Science, Electrical Engineering, Mathematics, Physics, etc.)
Preferred Requirements: Experience in collaborating with national and international academic and industrial partners

Deadline: October 16, 2017 | Published: September 16, 2017   12:50              

Department: UCL Ear Institute
Duration: 1+4 y        Workload: 100%
Duties: We are seeking to appoint an enthusiastic and motivated Research Assistant and Laboratory Manager to provide essential support for ongoing research aimed at developing transformative treatments for deafness and hearing problems. The post is funded for 12 months (with a possibility of extension for up to 5 years). The post will involve collection and analysis of audiometry as well as behavioral (psychophysics), eye tracking and EEG data in humans. The postholder will also be expected to contribute to the induction and direction of other research staff and students
Minimum Requirements: Applicants should hold a 1st class, or upper 2nd (or equivalent) BSc or MSc degree in an engineering or Neuroscience-related subject. Previous experience with neuroscience research, functional brain imaging and/or acoustics is desirable

Deadline: October 15, 2017 | Published: September 15, 2017   15:31              

Department: Division of Biosciences
Duration: 6 m        Workload: 100%
Duties: We are seeking to appoint a research assistant to undertake research on the biology of ageing in C. elegans, including designing and running experiments, recording, analysing and as part of a team, writing up results. The work will focus on investigations of the pathophysiology of senescent pathology, using a developmental pathology approach
Minimum Requirements: The successful candidate must have a degree in relevant subject area. Candidates can only be considered if they can have demonstrable experience with the application of selective plan illumination microscopy (SPIM) to the study of nematode tumors. Applicants are required to have knowledge of research techniques, basic research skills and ability to write complex reports and papers accurately and clearly

Deadline: October 15, 2017 | Published: September 15, 2017   15:18              

Department: Institute of Child Health
Duration: 21+ m        Workload: 100%
Duties: The position will involve leading a secondary data analyses project investigating the relationship between appetitive traits, metabolism and eating disorders, in particular focusing on their genetic counterpart and longitudinal data analyses. Responsibilities will include collaborating with an international team of leaders (Karolinksa Institute (Sweden), Icahn School of Medicine at Mount Sinai (US), University of Bristol (UK)) in the field of obesity, eating disorders and epidemiology; data analyses, and writing up of results
Minimum Requirements: The ideal candidate will have a doctorate in psychology or epidemiology and excellent skills in biostatistics. Experience is required in analysing genetic data and excellent communication and writing skills are also required. Some prior experience working in the eating disorders or obesity field is required, and a willingness to travel to Europe during the course of this project

Deadline: September 28, 2017 | Published: September 15, 2017   15:00              

Department: UCL Ear Institute
Duration: 1 y        Workload: 100%
Duties: The project will involve collection and analysis of behavioral, eye tracking and EEG data, development of MATLAB software for running and analyzing the experiments, as well as the preparation of research findings for presentations and publications. The post holder will also be expected to help supervise a research assistant and students working on the project
Minimum Requirements: The successful applicant will have a PhD in neuroscience or a neuroscience-related or quantitative discipline (e.g. biomedicine, engineering, physics) and proven ability to conduct high-quality original research and prepare results for publication. Essential skills include excellent time-management and organizational ability; proficiency in computer programming (e.g., Matlab, Python, C++) and previous experience with functional brain imaging, eye tracking and psychophysical assessment. The ideal applicant will be highly self-motivated; able to problem-solve and trouble-shoot technical difficulties; attentive to detail and meticulous about record-keeping; able to work independently and as part of a multidisciplinary team; and committed to the highest ethical and professional standards in research

Deadline: September 28, 2017 | Published: September 15, 2017   14:56              

Department: Division of Medicine
Duration: 2+ y        Workload: 100%
Duties: We are looking for a Research Scientist who will participate as a member of a research and clinical team. The primary responsibility of the post holder will be to develop and evaluate data analysis algorithms including clinical validation of developed methods, and to assist in technical aspects of clinical research projects and clinical trials that utilize nuclear medicine imaging
Minimum Requirements: Applicants must have a good first degree in physics, engineering or computer science or equivalent (2: 1 or higher) and a PhD (or doctoral thesis near completion/submission) in medical physics, medical image analysis or related area including substantial elements of medical image processing. Training (either a course or during project) in analysis of PET or SPECT data in a clinical context is also required

Deadline: October 14, 2017 | Published: September 15, 2017   14:31              

Department: UCL Institute of Neurology
Duration: 1+ y        Workload: 100%
Duties: The post holder will be responsible for developing and applying machine learning techniques to address the clinical problem of detecting the underlying abnormality in patients with focal epilepsy and visually normal MRI scans. The post holder is expected the work in collaboration with colleagues at the Translational Imaging Group, UCL Centre for Medical Image Computing
Minimum Requirements: Applicants should have a PhD (or equivalent industry experience) in neuroimaging, imaging neuroscience, machine learning or a related discipline, and a strong methodological background and experience in neuroimaging methods, machine learning or multivariate statistics. Experience in neuroimaging data analysis is essential, as is experience in machine learning techniques and proficiency in Matlab, Python or other scientific programming. Strong problem solving skills, excellent oral and written communication skills and good interpersonal skills are also a requirement. Experience in software development is desirable

Deadline: October 14, 2017 | Published: September 15, 2017   13:57              

Workload: 100%
Duties: The successful candidate will engage in advanced study and academic research based in the Oxford Centre for Industrial and Applied Mathematics (OCIAM), lecture and teach graduate students and/or undergraduate students and contribute to the teaching, research and academic administration of the department. They will also be expected to lead independent research projects
Minimum Requirements: With a doctorate in mathematics or a related discipline, the successful candidate will be expected to have an excellent publication record in accordance with their career status and evidence of the ability to devise and carry out an independent programme of research. They will also demonstrate an aptitude for teaching and an ability to lecture at an appropriate level and in an engaging and stimulating manner, have sufficient specialist knowledge to carry out high-quality research and supervise research projects, together with experience and competence in administration

Deadline: October 2, 2017 | Published: September 15, 2017   12:31              

Department: Division of Biosciences
Duration: 45+ m        Workload: 100%
Duties: The project focuses on (i) the imputation of genome sequence from crop populations sequenced at low coverage, adapting methods developed previously in the group (e.g. Davies et al Nature Genetics 2015) (ii) the use of low-coverage population sequence to identify structural variants implicated in phenotypes (Imprialou et al Genetics 2017) (iii) The development and implementation of quantitative genetics and genomic prediction methods in crop development, particularly in relation to multiparental advanced intercrosses. (iv) Close collaboration, support and knowledge exchange with partner laboratories. The project will involve visits to both IRRI and ICRISAT
Minimum Requirements: PhD in Statistical Genetics, Bioinformatics or a related field is essential as is a good understanding of the statistics of genetic association and experience of manipulating and analysing Next-Gen sequence data. It is essential candidates demonstrate programming fluency in R, Perl/Python, or C/C++. The successful candidate must have experience of conducting research in statistical genetics or bioinformatics

Deadline: October 15, 2017 | Published: September 15, 2017   11:59              

Department: Wolfson Institute of Preventive Medicine
Duration: 33 m        Workload: 100%
Duties: The post-holder will provide statistical support for observational studies that relate to key neurological diseases (PD, dementia, and MS). The flagship study is PREDICT-PD, which aims to identify a population at high risk of developing Parkinson’s disease, with a view to undertaking neuroprotective clinical trials to delay or prevent the onset of PD
Minimum Requirements: Applicants must have a good degree (First or Upper Second) and an MSc or PhD or equivalent experience in statistics or a related quantitative field along with experience of working with large data sets. Candidates will need to have excellent communication and interpersonal skills, with a working knowledge of statistical, mathematical and database packages. Knowledge and experience in using statistical analysis tools such as STATA or R would be an advantage

Deadline: October 16, 2017 | Published: September 15, 2017   07:12              

Duration: 3 y        Workload: 100%
Duties: Conduct high quality research in all aspects of ultrasound tomography in particular image reconstruction. Provide support to supervisor and other research staff in the team as well as wider TOMOCON network with with project management (for example, organising meetings and corresponding with partners). Contribute to the production of research reports and publications. Participate regularly in group meetings and prepare and deliver presentations to research team
Minimum Requirements: Distinct university graduation in engineering or natural science. Programming skills, C/C++, Matlab, Python
Preferred Requirements: Distinct university graduation in engineering or natural science in electrical or process engineering or mechanical engineering or physics

Deadline: October 25, 2017 | Published: September 14, 2017   09:36              

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

Published: September 14, 2017   00:56              

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

Published: September 14, 2017   00:56              

Duration: 3 y        Workload: 100%
Duties: Undertake a programme of collaborative research, development and innovation (RD&I) which will underpin the development of a new product, process or service, working collaboratively with a Stoke-on-Trent and Staffordshire business, Astec IT Solutions. You will be eligible to submit the work undertaken as the basis of a body of work to be examined for consideration of the award of a PhD from Keele University. This project will investigate data analytics solutions for industrial IoT, in particular, smart energy applications
Minimum Requirements: A degree in an electronic engineering, computing, or related discipline. Successful completion of a substantial and relevant project
Preferred Requirements: Masters level qualification

Deadline: September 28, 2017 | Published: September 13, 2017   23:30              

Workload: 100%
Duties: To undertake the full range of teaching, course/module leadership, workplace assessment and related duties, with due regard to quality assurance and professional conduct. To lead development work in primary mathematics, participate in and contribute to development work of the department, including participation in regular team meetings and Institute/UW committee work. To contribute to the process of monitoring and profiling students and to fulfil a personal tutor or mentor role
Minimum Requirements: A first degree or equivalent in a relevant subject area, and a Masters or equivalent qualification. Teaching experience in primary school, including in your specialist area of mathematics and experience of teaching in Higher Education, or teaching adults in other educational contexts

Deadline: October 12, 2017 | Published: September 13, 2017   23:23              

Department: The Department of Plant Sciences
Duration: 9 m        Workload: 100%
Duties: The appointee will work on an interdisciplinary project to explore mechanisms that regulate surface patterning in plants and animals, with a focus on modelling the effects of tissue mechanical properties on surface buckling. We are particularly focused on nanoscale ridge formation in the petal epidermal cuticle of Hibiscus trionum
Minimum Requirements: PhD in a relevant area

Deadline: October 15, 2017 | Published: September 13, 2017   22:29              

Department: The Department of Psychology
Duration: 2 y        Workload: 100%
Duties: To work on an ERC Advanced Investigator grant on the neurobiology of spoken language understanding using statistical language modelling techniques and MEG neuroimaging
Minimum Requirements: PhD in computer science, computational neuroscience, cognitive neuroscience, or a related discipline. Candidates are expected to have excellent computer programming (especially MATLAB and/or Python) skills. Expertise in statistical language modelling and/or machine learning. Experience of MEG analyses, particularly in using multivariate neuroimaging methods for MEG data and MEG source localization methods

Deadline: October 15, 2017 | Published: September 13, 2017   22:21              

Workload: 100%
Duties: Own and deliver on specific work areas, tasks and projects (e.g. modelling, running experiments and testing, building prototypes or developing new capability), which includes identifying a specific business need and then determining the best tools, data and techniques to address it. Engage users and stakeholders in the process of developing rapid prototypes of creative solutions that deliver insights on-demand. Assist with project planning and management, and identify potential project challenges or risks and highlighting these to project leads
Minimum Requirements: Degree in a field strongly related to data science, e.g. one that involves operational research or applied mathematics/statistics and coding. Experience in understanding business problems and addressing them through data – characterised by high-volume, high dimensionality from multiple sources
Preferred Requirements: Higher degree in a field strongly related to data science, e.g. one that involves operational research or applied mathematics/statistics and coding. Experience of writing on technical data science uses for a range of audiences, e.g. blog posts, published papers or user manuals

Deadline: October 15, 2017 | Published: September 13, 2017   22:19              

Department: The Department of Politics and International Relations
Workload: 100%
Duties: These will include undertaking advanced, methodologically and theoretically sophisticated research within the context of a new research project for the Centre for Technology and Global Affairs. You will also supervise affiliated postgraduate students working on the project. You will develop, adapt, and apply theories and concepts from the political and social sciences to the analysis of new advances in artificial intelligence or robotics and its applications in society, and will publish papers, policy briefs and reports on issues pertaining to artificial intelligence/big data or robotics and global affairs
Minimum Requirements: A doctoral degree (or near completion) in political science or a relevant social science discipline, or in computer science or engineering (with a strong background in social science work)

Deadline: October 27, 2017 | Published: September 13, 2017   19:55              

Workload: 100%
Duties: Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/Institute/College research strategy. Contribute to the design, acquisition, set up, maintenance and integration of experimental apparatus and computational resources. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. Develop and enhance your research profile and reputation and that of the University
Minimum Requirements: Normally Scottish Credit and Qualification Framework level 10 (Honours Degree). May be working towards post-graduate qualification such as Masters (SCQF 11) or PhD (SCQF 12). Qualifications should be in a relevant discipline, such as Biochemistry, Parasitology or Computational Biology or equivalent

Deadline: October 11, 2017 | Published: September 13, 2017   19:28              

Department: TThe Learning and Teaching Institute (LTI)
Workload: 100%
Duties: Responsible for developing seminars and workshops in maths and statistics skills, producing resources and delivering one-to-one math skills support for undergraduate and post-graduate students
Minimum Requirements: A good undergraduate degree in a relevant subject
Preferred Requirements: Higher degree

Deadline: September 25, 2017 | Published: September 13, 2017   12:09              

Department: Department of Genetics, Evolution and Environment
Duration: 42+6 m        Workload: 100%
Duties: The role holder will develop coupled Species Distribution-Demographic Models for pollinators, agricultural pests and priority species in the UK and South Africa, and where possible will apply network analyses (Bayesian networks) to model biotic interactions and explore responses of ecological communities to environmental change. The overarching objective of the Sustainable and Healthy Food Systems (SHEFS) programme is to provide policy makers with novel, interdisciplinary scientific evidence to define future food systems policies that deliver nutritious and healthy foods in an environmentally sustainable and socially equitable manner
Minimum Requirements: The successful candidate must hold a PhD degree in ecology, conservation biology, computer science, or related discipline, and will have experience with ecological modelling methods (e.g., spatial modelling, ecological networks) and/or biodiversity indicators

Deadline: October 9, 2017 | Published: September 13, 2017   07:30              

Department: Centre for Biodiversity and Environment Research
Duration: 3+ y        Workload: 100%
Duties: The role holder will use biodiversity indicators to evaluate the responses of biodiversity to land use change driven by alternative food systems at a global scale, and will apply the Madingley General Ecosystem Model to explore responses of biodiversity and ecosystems to agricultural land use change at regional scales (with a focus on Southern Africa)
Minimum Requirements: The successful candidates must hold a PhD degree in ecology, conservation biology, computer science, or related discipline, and will ideally have experience with ecological modelling methods (e.g., spatial modelling, ecological networks) and/or biodiversity indicators. Essential and desirable qualifications, experience, skills and knowledge are detailed below. Please ensure you read the full details on the role and person specification carefully before applying for the post as candidates must meet all essential criteria to be considered

Deadline: October 9, 2017 | Published: September 13, 2017   07:19              

Department: Department of Statistical Science
Duration: 3+ y        Workload: 100%
Duties: This is an exciting opportunity for a postdoctoral statistician to conduct methodological research in Medical Statistics funded by the Medical Research Council (UK) on “Guidance on sample size when using observational data to develop and validate risk prediction models in health research”. The main objectives of the project are to provide guidance on sample size for: the development of regression-based risk models in independent data; the internal validation of risk models in independent data; the external validation of risk models in independent data
Minimum Requirements: Candidates should hold or be close to submitting a PhD (or equivalent qualification) in Statistics, or Medical Statistics. It is essential that the successful candidate has knowledge of a wide range of statistical methods used in medical research, programming skills in Stata or R and strong organisational and communication skills. Applications are particularly welcome from candidates with previous experience in risk prediction modelling research

Deadline: October 15, 2017 | Published: September 13, 2017   07:14              

Department: UCL Institute of Education
Duration: 1+ y        Workload: 100%
Duties: This post represents an outstanding opportunity to undertake high impact quantitative research using administrative data linked to cohort survey data at the individual level, using data from the four cohorts run by CLS. The main focus of work will be on analysis of records from HMRC. You may also work on other linked survey and administrative data, for example education. You will create derived variables for deposit and use by the wider research communities, and will undertake research using these data. You will contribute to training in the use of these data, and to the degree teaching of the Department
Minimum Requirements: Applicants should have a PhD (or very near completion) in a relevant quantitative social science discipline, including economics, sociology, social policy, demography, or social statistics. Those with relevant PhDs in other quantitative disciplines (e.g. psychology or epidemiology) are welcome to apply. You should have outstanding quantitative statistical analysis skills with demonstrable interest in research questions related to the linkage of HMRC and other administrative/survey records. You will have strong communication and interpersonal skills including the ability to write clearly and concisely, and present to both academic and non-academic audiences. The ability to work as part of a team is essential
Preferred Requirements: Experience of working with administrative datasets and the cohort studies managed by CLS is not essential but would be an advantage

Deadline: October 25, 2017 | Published: September 13, 2017   07:13              

Workload: 100%
Duties: Your main responsibility will be preparation, teaching, administration and assessment of a unit or part of a unit. You will also have the chance to develop your knowledge in the context of cosmetic science and to learn in a supportive environment and to enhance your career. You will work closely with other academic staff, including the Programme Director and Course Leader
Minimum Requirements: Relevant degree in a related subject area. Knowledge and experience in applied statistic in the context of cosmetics or related fields (e.g. food, pharmaceutical or sensory science, consumer trials)

Published: September 12, 2017   19:22              

Department: The Department of Infectious Disease Epidemiology
Workload: 100%
Duties: The near eradication of wild-type polioviruses has been achieved by mass campaigns with oral poliovirus vaccine (OPV). However, to achieve eradication of all polioviruses, the GPEI must finally withdraw OPV because it can, albeit rarely, cause outbreaks of poliomyelitis associated with vaccine-derived poliovirus. The GPEI endgame strategy is therefore focused on a carefully orchestrated, stepwise removal of OPV serotypes and global introduction of inactivated vaccine. You will carry out research on the epidemiology of infectious diseases with a particular focus on poliovirus and the effectiveness of different vaccination and surveillance strategies
Minimum Requirements: MSc (for appointment to Research Assistant) or a PhD (for appointment to Research Associate) in epidemiology, statistics or biology

Deadline: October 11, 2017 | Published: September 12, 2017   19:17              

Duration: 2 y        Workload: 100%
Duties: Take a leading role in the planning and conduct of assigned research individually or jointly in accordance with the project deliverables and IHW/HEHTA research strategy. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. Survey the research literature and environment, understand the research challenges associated with the project & subject area, & develop/implement a suitable research strategy
Minimum Requirements: PhD or equivalent in statistics or other relevant quantitative subject. Extensive and up-to-date theoretical and practical knowledge in areas related to the field of research

Deadline: October 8, 2017 | Published: September 12, 2017   19:13              

Department: The Department of Bioengineering
Workload: 100%
Duties: The purpose of the current project is to improve the capabilities of the GripAble system and will focus on two topics: assessment via multimodal sensors, and therapy via neuroscientifically-motivated training software
Minimum Requirements: a first-class MSc (or equivalent) in Biomedical Engineering/Robotics (or equivalent) and previous experience in assistive/rehabilitation technologies (with a special focus on the upper limb), wearable sensors and sensor fusion algorithms for estimating movement and posture, multi-sensory feedback modalities including haptics, research methods and statistical procedures, human-machine and human-human interaction

Deadline: September 27, 2017 | Published: September 12, 2017   18:19              

Department: The Department of Allied Health Professions
Workload: 100%
Duties: You will teach primarily on our Undergraduate radiography programme and visit students within their clinical placement
Minimum Requirements: Experience of teaching, training and supervising students and hold a relevant Diagnostic Radiography qualification. Experience of teaching, training and supervising students and hold a relevant Diagnostic Radiography qualification

Deadline: September 24, 2017 | Published: September 12, 2017   18:15              

Workload: 100%
Duties: Responsible for implementing data flows to connect operational systems; documenting source-to-target mappings; re-engineering manual data flows; supporting the build of data streaming functionality; writing ETL scripts and code; and designing and developing business intelligence reports and solutions
Minimum Requirements: An undergraduate or first degree in a computer-related or data-related discipline

Deadline: September 29, 2017 | Published: September 12, 2017   16:52              

Department: The Department of Physics, Atmospheric, Oceanic and Planetary Physics
Duration: 3 y        Workload: 100%
Duties: These positions will be at the forefront of developing modelling based assessments of aerosol, cloud and precipitation interactions as part of the new European Research Council project constRaining the EffeCts of Aerosols on Precipitation (RECAP). Science and simulations will utilise from idealised global scale modelling to detailed CRM/LES modelling of aerosol and cloud processes on smaller scales. Work closely with national and international collaborators and are expected to develop innovative modelling approaches
Minimum Requirements: Possess, or be very close to obtaining a doctorate in physics or a related field and ideally a strong background in in atmospheric modelling

Deadline: October 20, 2017 | Published: September 12, 2017   12:19              

Workload: 100%
Duties: Work closely with departmental academic teams and be expected to contribute to existing teaching and research. The role has a strong emphasis on, and support for, research and enterprise activity, including participation in projects jointly launched by other members of the Department and Faculty
Minimum Requirements: Strong Honours or Masters Degree in either (for the post with a focus on Network Science) Economics, Business, Sociology or a discipline with a strong quantitative orientation; Mathematics, Statistics or a dataoriented sub-discipline; Computer Science or a data-oriented sub-discipline. PhD (for the post with a focus on Network Science) Network Science, Mathematical Sociology, Communications, Business, or a related discipline (for the post with a focus on Data Analytics with Statistics) Data Analytics, Statistics or a closely. Postgraduate teaching qualification related area of Mathematics

Deadline: October 13, 2017 | Published: September 12, 2017   12:06              

Workload: 100%
Duties: This post is intended for those teaching/researching in the field of Data Science who wish to embark on an academic career conducting quality research and lecturing on postgraduate and undergraduate programmes. The person appointed will be expected to contribute to existing teaching and research
Minimum Requirements: Strong Honours or Masters Degree in either (for the post with a focus on Network Science) Economics, Business, Sociology or a discipline with a strong quantitative orientation; Mathematics, Statistics or a dataoriented sub-discipline; Computer Science or a data-oriented sub-discipline. PhD in (for the post with a focus on Network Science) Network Science, Mathematical Sociology, Communications, Business, or a related discipline

Deadline: October 13, 2017 | Published: September 12, 2017   12:05              

Duration: 1 y        Workload: 100%
Duties: The role of Leeds in this project, PROSPECT CL (Proving of Real wOrld Scaleable PrEdiCTive tools and technologies for Complex Liquids) will be two-fold. Firstly, to develop and implement optimal experimental design techniques on the experimental rig, to demonstrate how experiments can be performed more effectively with a particular focus on reducing the number of experiments. Secondly to provide state of the art sensor technology and associated process analytics and data fusion methodology thereby, expanding the availability of predictive tools and technologies for use in liquid formulation by UK industry
Minimum Requirements: Holding a first degree and PhD (or close to completion) in Chemical Engineering, Physics, Chemistry, Mathematics, or a related discipline, you will have a strong background in design of experiments, process analytics and process and analytical data modelling

Deadline: October 10, 2017 | Published: September 12, 2017   12:05              

Workload: 100%
Duties: This post provides a unique opportunity to plan and deliver research in two areas: the generation of capability measures for children and the application of a life-course approach to capability measurement within health economics. Work closely with Professor Joanna Coast on key elements of the qualitative work for the study; contribute to the development of the sampling frames for the qualitative research; contribute to the development of study materials, including recruitment materials, topics guides, lone researcher protocols, distress protocols and so on; approach, recruit and consent informants for the study; follow the processes involved in lone researcher protocols, when applicable; conduct interviews and facilitative focus groups
Minimum Requirements: PhD in a relevant social science or health discipline or equivalent experience
Preferred Requirements: Qualification in health economics

Deadline: October 1, 2017 | Published: September 12, 2017   12:04              

Department: Nuffield Department of Primary Care Health Sciences
Duration: 2 y        Workload: 100%
Duties: Undertake collaborative research on a range of topics using data in large electronic health records systems, such as the CPRD. Current research focuses on several disease areas including cancer, diabetes, asthma, chronic kidney disease, arthritis, chronic heart disease and other long-term conditions as well as consultation behaviours
Minimum Requirements: A relevant Master's degree

Deadline: October 16, 2017 | Published: September 12, 2017   11:04              

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

Published: September 12, 2017   10:32              

Department: The Department of Mathematical Sciences
Workload: 100%
Duties: With your research reflecting the interests of the department (such as representation theory, including related algebraic geometry and number theory), you will seek to have it published in journals of international significance, sourcing funding and sharing your work with the supportive and enthusiastic Pure Mathematics research unit. You will also supervise PhD students and provide an exceptional education to the student body, in tutorials, seminars and lectures, using technology and other relevant techniques to ensure they achieve the highest standards
Minimum Requirements: A good first degree and a PhD in Pure Mathematics (or a related subject). Research excellence in the field of representation theory, including related algebraic geometry and number theory

Deadline: October 30, 2017 | Published: September 12, 2017   09:51              

Department: The Department of Mathematics
Workload: 100%
Duties: You will establish a research base in statistics and probability, whilst teaching undergraduate and postgraduate students in tutorials, seminars and lectures. You will maintain your professional knowledge ensuring that your content is engaging and relevant ensuring they continue to thrive in their chosen studies. Developing your own original research that is compatible with the interests of the department, you will secure funding and ensure your outputs are reaching the desired audience in internationally acclaimed journals
Minimum Requirements: Research excellence in statistics supported by a good first degree and a PhD in Statistics (or a related subject)

Deadline: November 22, 2017 | Published: September 12, 2017   09:45              

Duties: As a Senior Calculation Analyst you will provide complete calculation specifications inclusive of automation, process documentation and support to core business systems
Minimum Requirements: Proven pension administration experience with excellent knowledge of DB and DC schemes Experience of prioritising and working on multiple tasks simultaneously with limited supervision Experience and proficiency in working effectively in a team Proven track record of delivery to agreed quality and timescales or other relevant experience Ability to take responsibility for the quality of their own work, using their initiative to achieve the required results Must be highly numerate, methodical and logical, with a high level of problem solving skills and attention to detail Sound administration skills with good analytical and reporting abilities Excellent interpersonal, time management and communication skills (written and verbal) Flexibility and adaptability to work demands with a willingness to learn and take on new challenges Strong IT skills with good working knowledge of Microsoft Office, especially Excel and the ability to create formulas within a workbook
Preferred Requirements: Preferably educated to degree level, QPA or DPC part/qualified or studying for/qualified APMI

Published: September 11, 2017   18:30              

Department: Medical Physics and Biomedical Engineering
Duration: 2+ y        Workload: 100%
Duties: The post holder will work as part of a first-in-men trial and research project on the use of a new drug-eluting radiopaque bead for trans-arterial chemoembolization (TACE). Patients will first undergo TACE, followed by surgical liver tumour resection 7-21 days later. To better understand the liver tumour biology and physiology, patients in this study will be imaged using advanced MRI and dual-energy CT (pCT) at baseline, pre- and post-TACE, and pre-surgery. Finally, high resolution microCT and histological imaging will be used to further characterise the metabolism of the resected tumour
Minimum Requirements: Applicants must have a PhD, or equivalent academic or industrial experience and must be able to demonstrate strong image computing and problem solving skills. Candidates must possess a first or upper second undergraduate degree, or equivalent, in Computer Science, Engineering, Physics, Mathematics or a related subject. Experience in the design, implementation, and validation of appropriate medical image processing methods, image registration, segmentation and modelling, strong software development skills using languages such as C++ or python, and a good publication record in high-impact peer-reviewed academic journals and conferences. Experience with image processing methods for histological reconstruction and/or multimodal image analysis is highly desirable

Deadline: October 8, 2017 | Published: September 11, 2017   15:29              

Workload: 100%
Duties: To prepare for teaching by developing an understanding of the content, learning outcomes and modes of delivery for the relevant sessions. This may involve research and reading in the subject area and/or adapting existing learning materials. To prepare course materials, including setting assignments, producing reading lists, and module outlines and learning materials, and ensuring that information is available to students in advance of the course and taught sessions. To teach sessions by lectures, tutorials, seminars and any other relevant form of learning method
Minimum Requirements: An honours degree or equivalent in Mathematics or Statistics or a related subject. Experience of teaching within Higher Education, or experience of teaching mathematics at A Level or equivalent, or other training at a similar level
Preferred Requirements: A higher degree (or near to completion) in a related area. Experience in the use of mathematical or statistical software. Experience of e-learning using a Virtual Learning Environment

Deadline: September 21, 2017 | Published: September 10, 2017   23:23              

Department: The Department of Public Health and Primary Care
Duration: 3 y        Workload: part-time
Duties: The Department of Public Health and Primary Care, one of Europe's leading academic departments of population health sciences, wishes to appoint a part-time Principal Research Associate in Systems Genomics and Population Health
Minimum Requirements: An international leader in systems genomics, with strong interests in cardiovascular diseases and traits. Extensive experience of handling and analysing large amounts of complex data, and an ability to link with clinical and mechanistic science

Deadline: October 6, 2017 | Published: September 10, 2017   18:52              

Duration: 3 y        Workload: 100%
Duties: In a recent trend "meta-GWAS", comprising tens of thousands of people, have boosted the power of genetic association studies. However, the availability of many correlated genetic variants as well as the logistics of sharing data on such a large scale presents analytical challenges and typically variants are only analysed one-at-a-time. This complicates interpretation and the ability of "fine-mapping" efforts to identify a small set of variants for functional follow-up. The proposed initial project will focus on developing novel statistical methods to extract better inference from the increasing wealth of publicly available meta-GWAS results
Preferred Requirements: Experience of Bayesian methodology and, in particular, approaches to variable selection/sparse regression. An understanding of genomics

Deadline: October 25, 2017 | Published: September 10, 2017   11:47              

Department: The British Oceanographic Data Centre (BODC)
Workload: 100%
Duties: You will work in our large team of data scientists ensuring that marine data collected on research projects is curated and made widely available for long term re-use. Provide marine chemistry expertise to a range of national/international BODC data projects. Responsible for managing a portfolio of data management projects, for which BODC is the designated Data Centre. The work is intellectually challenging and fulfilling. To develop solutions for the management of data within your area of responsibility
Minimum Requirements: BSc Honours degree or MSc in Marine Science. PhD in Marine Chemistry or significant relevant postgraduate work experience. In-depth knowledge of marine chemistry, with experience in chemical or biogeochemical data collection and analysis techniques. Experience in project management. Experience with scientific computing software, e.g. Matlab

Deadline: September 25, 2017 | Published: September 10, 2017   10:57              

Duration: 2, 5 y        Workload: 100%
Duties: The 2.5 year post will involve the development and application of a chemistry-climate model (UKCA) to examine the impact of chlorinated very short-lived substances (VSLS) on atmospheric composition. The atmospheric abundance of certain anthropogenic VSLS, such as dichloromethane (CH2Cl2), is increasingly rapidly. The successful candidate will implement a treatment of CH2Cl2 (emissions and atmospheric chemistry) and related VSLS into the UKCA model, and then evaluate the model against a range of observations
Minimum Requirements: Ph.D. in atmospheric science. Experience in developing and/or running numerical models, and in complex data analysis. Experience using chemistry-climate models and model evaluation against observational datasets
Preferred Requirements: Ph.D. in atmospheric science with an element of atmospheric chemistry – or a related quantitative discipline

Deadline: October 8, 2017 | Published: September 10, 2017   10:56              

Duration: 1. bis 3. November 2017
Duties: 3-tägiger Workshop mit Vorträgen zur Finanzmathematik, einem Kundenprojekt unter Ihrer Beteiligung und Erfahrungsberichten aus unserer Consulting-Praxis

Deadline: September 11, 2017 | Published: September 9, 2017   13:32              

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

Deadline: September 25, 2017 | Published: September 9, 2017   06:40              

Department: Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
Duration: 2+ y        Workload: 100%
Duties: As a Medical Statistician you will provide expert input on the statistical aspects of the design and set up of clinical research projects within a multidisciplinary team, prepare statistical analysis plans (SAP) including leading on drafting the related publications. You will produce statistical programs for analysis of study data, including generating, validating and monitoring randomisation schedules and performing interim and final analyses. You will also take full responsibility for the integrity of the data and the conduct of the statistical analyses
Minimum Requirements: You will have a postgraduate degree in statistics (or closely related subject), a substantial part of which relates to medical statistics, or equivalent experience. You will have specialist knowledge in all aspects of designing, running and analysing clinical trials. Proficient knowledge of statistical software (Stata, SAS or R) as well as good verbal and written communication skills are also essential. Proficiency in statistical programming and experience of producing statistical reports are desirable as is contributing to peer-review publications and substantial medical statistics experience supported by a publication record

Deadline: October 6, 2017 | Published: September 9, 2017   06:33              

Department: William Harvey Research Institute
Workload: 100%
Duties: The primary role of this Data Coordinator post is to support the research teams in the running of investigator initiated, NIHR and commercial clinical trials. Responsibilities include creation and maintenance of files for clinical trials, collection of trial data and completion of case report forms and the creation and maintenance of a database of trial activity. The post holder will be responsible for clinical trial administration primarily concerned with NIHR, commercial and local academic clinical research studies
Minimum Requirements: The appointee will have a science-related degree or equivalent and will be competent in the use of electronic patient systems and software. Prior experience of working in clinical trials or health related research is desirable

Deadline: September 21, 2017 | Published: September 9, 2017   06:30              

Department: Computer Science
Duration: 2, 5 y        Workload: 100%
Duties: This post is part of a larger collaboration between the Schools of Computer Science, Mathematical Sciences and Biosciences at the University of Nottingham and the School of Mathematics, University of Manchester. Building upon previous work at Nottingham on the recovery of 3D models of plant shoots from multiple colour images, its aim is to construct accurate, quantitative models of plant movement and deformation in response to wind
Minimum Requirements: Applications are invited from highly skilled researchers in Computer Vision or related areas. The successful candidate will be a Computer Scientist holding or having a PhD in a relevant area of Computer Vision near completion. Experience of 3D reconstruction methods and the ability to work in an interdisciplinary team will be essential. Familiarity with current visual tracking and deep learning methods will be a significant advantage

Deadline: September 27, 2017 | Published: September 9, 2017   06:11              

Department: School of Clinical Medicine
Duration: 3+ y
Duties: The statistics group is currently supporting a number of ongoing interventional and observational trials. The post-holder will be expected to develop and implement of statistical analysis plans, handle day-to-day statistical issues relating to the study design, randomisation processes, interim and final analysis of studies, contribute to manuscripts for publication, and prepare abstracts, posters and slides for presentation of analyses at departmental, national and international academic meetings
Minimum Requirements: Applicants should have a PhD in applied statistics, statistics, epidemiology, or a related field in quantitative biomedical research. Experience in using a major statistical package (R, Stata or SAS) is desirable. Experience in working within a clinical trials context or similar would be desirable

Deadline: October 8, 2017 | Published: September 8, 2017   18:51              

Duties: We currently have a need for a research officer/analyst as part of our European Competition practice. The position is for our London office (there is a possibility to relocate to one of our other EU offices in the medium to long term if desired). NERA's European Competition practice has advised on numerous high profile cases including, but not limited to, mergers and acquisitions, cartel investigations, damage quantification, abuse of dominance, vertical and horizontal agreements, and State aid
Minimum Requirements: Candidates should hold a Masters (or PhD) in Economics, Econometrics or a related discipline with an exceptional academic record. Candidates should enjoy solving analytical and empirical problems under tight deadlines. Coursework and/or experience in econometrics and proficiency in using statistical and/or mathematical software (for example Stata or Mathematica) are required. Candidates should demonstrate excellent oral and written communication skills in English. Additional fluency in other European languages, particularly Spanish or French, would be preferred

Published: September 8, 2017   18:36              

Duties: Responsibilities may include managing small teams of economists, designing and building quantitative models and applying econometric analysis to economic and financial data; reviewing, summarising, and analysing industry trends and competitor and academic research; creating presentation materials; drafting memos and expert reports; managing large data sets and writing programmes to implement complex analyses; and participating in client meetings and conference calls
Minimum Requirements: The ideal candidate would have at least five year’s prior experience in economic research and/or competition consulting, ideally including the management of projects and smaller teams. A PhD in economics or in a related field with strong analytical skills and an exceptional academic record is required. Experience in regression analysis/econometrics and in drafting reports is required. A high level of technical ability using statistical software packages (for example Stata or R) is required. Qualified candidates must be detail-oriented, have the ability to think analytically and critically. Native level fluency in German is required and additional fluency in European languages would be an advantage

Published: September 8, 2017   18:24              

Duration: 6+ m
Duties: We currently are recruiting for intern positions as part of our European Competition practice, in our London office. NERA's European Competition practice has advised on numerous high profile cases including, but not limited to, mergers and acquisitions, cartel investigations, damage quantification, abuse of dominance, vertical and horizontal agreements, and State aid
Minimum Requirements: Candidates should hold a BA or Masters or PhD in Economics, Econometrics or a related discipline with an exceptional academic record. Candidates should enjoy solving analytical and empirical problems under tight deadlines. Coursework and/or experience in econometrics and proficiency in using statistical and/or mathematical software (for example Stata or Mathematica) are required. Candidates should demonstrate excellent oral and written communication skills in English. Additional fluency in other European languages, particularly German, Spanish or French, would be preferred

Published: September 8, 2017   18:11              

Department: Department of Engineering Science
Duration: 2 y
Duties: The candidate will work on a cutting-edge research project at the boundary of computer vision and deep learning. The candidate will carry theoretical as well as empirical work on deep learning applied to computer vision tasks and may co-supervise DPhil students working on related problems. You will also be required to conduct related experimental work, including programming machine vision and learning methods and running experiments on large CPU and GPU clusters
Minimum Requirements: You should possess (or be near completion of) a relevant PhD/DPhil in computer vision or machine learning, together with a solid mathematical and computational background in learning, optimisation, and vision. Previous experience on the practical aspects of the large-scale numerical methods at the core of this research is welcome. A solid track record of publications in relevant international peer-reviewed conferences and journals (e.g. ICCV, CVPR, ECCV, NIPS, ICML, ICLR, PAMI, IJCV) is essential

Deadline: October 6, 2017 | Published: September 8, 2017   18:06              

Department: Health Services Research
Duration: 6 m        Workload: 40%
Duties: This is an opportunity for a highly-applied health services researcher to make a practical contribution to the evaluation of the transformational Walton NHS Neuro Vanguard project, which has been developed to improve the health of the population of Cheshire and Merseyside. This evaluation is being conducted as part of the NIHR CLAHRC North West Coast portfolio of research
Minimum Requirements: You should have a PhD or equivalent experience through a portfolio of publications and extensive experience in quantitative methods and evaluation. You will have relevant qualifications and experience, particularly in the field of health services research, as well as a familiarity of working within healthcare research settings. Relevant experience of quantitative analysis is essential and some experience of qualitative methods would be advantageous

Deadline: September 25, 2017 | Published: September 8, 2017   18:05              

Duration: 28 m        Workload: 100%
Duties: You will be responsible for planning, designing and performing the field campaigns and collecting primary and secondary data (i) to assess contributions to particulate matter from some of the hitherto overlooked sources such as roadside biomass and municipal solid waste burning, construction and road dust emissions, (ii) perform PM chemical source profiling using the new and available data and (iii) assess the PM import/export between Delhi and NCR/City Clusters by means of field observations, laboratory investigations and advanced statistical modelling techniques
Minimum Requirements: We are looking for a researcher with a PhD degree (or near to completion) in the fields of civil, environmental, chemical engineering, atmospheric science, mathematics, physics, chemistry or related engineering/science disciplines. You should have sufficient background knowledge for planning, designing and performing the field experimental campaigns for assessing PM chemical source profiles, source apportionment using CMB and PMF techniques and emission import/export assessment using methods such as Lenschow-type analysis and k-means clustering. You should have skills in handling air pollution instruments, data collection and handling methods, and its subsequent analysis and interpretation using advanced mathematical/statistical and mapping tools such as R, SPSS, MatLab and GIS. We are therefore looking for a candidate with proven experience in the area of air pollution source characterisation/profiling and advanced statistical modelling. The candidate should be motivated and enthusias...

Deadline: October 10, 2017 | Published: September 8, 2017   18:04              

Duration: 2 y        Workload: 100%
Duties: We are looking to recruit an enthusiastic, highly motivated Bioinformatician to work in the EGA and Archive Infrastructure Team at the European Bioinformatics Institute (EBI) located on the Wellcome Trust Genome Campus near Cambridge in the UK. 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 to build and test federated, multi-platform, cloud-friendly pipelines for genetic association studies, and statistical analysis of variation and its effect in type 2 diabetes and associated phenotypes
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
Preferred Requirements: Previous experience of GWAS. Knowledge of Docker containers, virtual machines and cloud environments. Experience of international collaborations, clinical and phenotype ontologies/terminology, and working with controlled-access human data

Deadline: October 8, 2017 | Published: September 8, 2017   15:38              

Workload: 100%
Duties: The Epidemiology Group is seeking to appoint a research assistant to work across several of our current studies within the Arthritis UK/MRC Centre for Musculoskeletal Health and Work (CMHW). Contribute to deciding the priority areas for work. Undertake, under the supervision of the principal investigator, reviews and analysis of data consistent with these priorities. Contribute to research papers arising from the work
Minimum Requirements: The successful candidate will have experience of conducting systematic reviews, and statistical analysis. Candidates should hold an honours degree in a relevant scientific discipline and, ideally, a post-graduate qualification or experience in epidemiology, statistics or other relevant subject
Preferred Requirements: Experience of quantitative data analysis and report writing is essential, while having worked in the field of musculoskeletal health would be advantageous

Deadline: October 17, 2017 | Published: September 8, 2017   13:24              

Department: Clinical Neuroscience
Duration: 1 y        Workload: 100%
Duties: The main project is to support the completion of the Core Outcome Measures in Tinnitus (COMiT) initiative and the delivery of their published roadmap for this international research programme. The role holder will also support Prof Hall in delivering Stage 2 of the project which will identify and agree on appropriate outcome instruments to measure each of the recommended outcome domains. This step involves a systematic appraisal of the statistical (psychometric) properties of candidate instruments, with prospective validation of candidate instruments, pending availability of suitable data
Minimum Requirements: Candidates should havea First degree in mathematics or statistics, or other subject that has a strong component relating to numeracy skills and relevant experience in the research environment. Candidates should have an excellent working knowledge of relevant IT operating systems and software packages (including Windows and Microsoft Office. Candidates should also possess communication skills demonstrating an ability to communicate on all levels within a multi-disciplinary team. Project management skills, demonstrating attention to detail, excellent organisation and planning are also essential along with good data management and database skills

Deadline: October 9, 2017 | Published: September 8, 2017   07:43              

Department: Institute of Child Health
Duration: 3+ y        Workload: 100%
Duties: The main aim of the programme is to identify the underlying pathogenic causes of rare diseases as well as clinical diagnostic markers of treatment outcome or disease severity/complication. The post offers a unique opportunity to develop innovative computational and statistical methods to fully exploit large scale patient orientated biological datasets. This is an exciting opportunity for a committed and highly motivated individual to become part of a multidisciplinary research initiative aiming to combine genomic and molecular phenotype information to provide a better understanding of the molecular basis of rare diseases
Minimum Requirements: Applicants will ideally hold a PhD in computer science, statistics, mathematics, physics and/or engineering, or in a biological science with demonstrated experience in computational and statistical work. Proficiency with at least one high-level programming language and/or appropriate scripting languages and statistical data analysis tools is required. A background in human biology or previous experience tackling biological questions in relation to human disease is beneficial but not essential

Deadline: September 22, 2017 | Published: September 8, 2017   07:14              

Department: UCL Institute of Education
Duration: 3 m
Duties: The successful candidates will be expected to conduct analysis and publish substantive research in topics related to the remit of the Cross Cohort Research Programme and will be expected to collaborate with other researchers based at the Centre for Longitudinal Studies
Minimum Requirements: You will have research experience in any of the major applied quantitative disciplines, including epidemiology, social statistics, demography, population, health, sociology, psychology, economics, or social policy. You will have a good understanding of applied quantitative research methods, specifically in the application of a range of statistical methods for the analysis of large-scale longitudinal datasets. You will have excellent communication and interpersonal skills, including the ability to work with academic collaborators. Experience of contributing to the design of a longitudinal study, or other major survey, or of working on a large scale complex research programme, is not essential but would be an advantage
Preferred Requirements: We welcome applications from students nearing the completion of their PhD or early career researchers

Deadline: October 18, 2017 | Published: September 8, 2017   07:11              

Department: Social Sciences
Duration: until 5th June 2019        Workload: 50%
Duties: Your role will be to assist in completing a GIS based epidemiological study of Sheffield focusing on the relationships between urban natural environment characteristics, health inequalities, deprivation and natural environment usage. The job will entail the sourcing, preparation and formatting of key datasets to optimize GIS utility and compatibility. It will involve linking spatial, demographic and health datasets and carrying out analyses using standard statistical and GIS methods
Minimum Requirements: You will have completed a PhD, or be working towards completion, (or have equivalent experience) in a discipline relevant to this work, most likely in public health, epidemiology, geography, statistics, landscape architecture, planning or ecology. You will also have experience of using GIS for spatial mapping and data analysis and, where necessary, a strong commitment to developing your GIS skills. Expertise in carrying out statistical analysis with a sound grasp of interpretation of results from such analyses would be desirable. You will also need the ability to reach out and communicate effectively with colleagues in other disciplines, and with a wide range of partners and stakeholders to establish good working relationships and develop collaborations and opportunities for co-production

Deadline: October 2, 2017 | Published: September 7, 2017   15:08              

Department: Statistical Science
Duration: 3 m        Workload: 24%
Duties: he project is a collaboration between the Environment Agency, Ricardo Energy & Environment, the Scottish Environmental Protection Agency, University College London (UCL), Biomathematics and Statistics Scotland and the University of Glasgow. The main purpose of this research assistant role is to help co-ordinate the project activities, to assist with analyses and with reporting
Minimum Requirements: Candidates should hold an MSc (or equivalent qualification) in Statistics, or a closely related field. It is essential that the successful candidate has proven knowledge of research techniques and methodologies; knowledge of modern computing environments (e.g., R, C#, Python); and excellent written and verbal communication skills. Applications are particularly welcome from candidates who have experience of data management, including the combination of multiple data sets

Deadline: September 19, 2017 | Published: September 7, 2017   07:49              

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

Published: September 7, 2017   00:29              

Department: Department of Medicine (NDM), Structural Genomics Consortium
Duration: 2 y        Workload: 100%
Duties: You will be responsible for assisting with the development and implementation of methodologies to assess the impact of SGC research outputs which include: TEPs (target enabling packages – www.thesgc.org/teps); chemical probes including data from screening against patient-derived diseased tissue platforms, protein structures, and publications. You will also be responsible for assisting with the curation and submission of SGC research outputs to data repositories including ORA Data, ChEMBL, and other relevant third party databases
Minimum Requirements: You will possess a degree in molecular biology, biochemistry, structural biology, cheminformatics, bioinformatics or an equivalent combination of training and experience. This position would ideally suit an individual who wishes to pursue a career in improving the impact and knowledge transfer resulting from both public and private research funding and in particular in a pre-competitive context

Deadline: October 4, 2017 | Published: September 6, 2017   19:43              

Department: Centre for Public Health
Duration: 16 m
Duties: The principal aim of the post is to undertake a 16-month programmeof work using linked administrative datasets to understand the relationship between poor mental health and suicide risk
Minimum Requirements: Thesuccessful candidate will have a PhD in a relevant subject such as socials ciences, applied statistics, epidemiology, public health, pharmacy, economics or psychology and preferably demonstrable knowledge and experience of workingwith large administrative datasets. Competence in appropriate methodological approaches and statisticalanalysis is expected

Deadline: October 3, 2017 | Published: September 6, 2017   19:39              

Workload: 100%
Duties: Applications are invited for a Senior Lecturer/Reader in Mathematics, Modelling and Simulation, based in the Department of Mathematics at the University of Surrey, and co-funded by the National Physical Laboratory (NPL). The research is likely to include the use of adjoint methods or similar for sensitivity analysis and uncertainty quantification associated with inference and decision making. The researcher will be working on developing new theory, algorithms and computational capability, and journal publications. We are looking for an outstanding mathematician or ph
Minimum Requirements: We are looking for an outstanding mathematician or physicist with significant experience in data assimilation or mathematical modelling, to strengthen and expand this research area

Deadline: October 6, 2017 | Published: September 6, 2017   19:13              

Department: Airbus Defence and Space
Workload: 100%
Duties: Analyse data, design and develop “Intelligence cloud data services” to gain insight into business outcomes, build statistical models to support decision-making, and create machine learning models to automate and simplify key business processes. Design effective data architecture and technology infrastructure to support data analytical services. Design and plan a cloud solution architecture on how data is stored, managed, analysed, published and integrated with other services. Ability to design, build, maintain and troubleshoot data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity and efficiency of such systems
Minimum Requirements: University Degree (Master’s degree would be desirable) in Information Technology or equivalent. Strong experience in data analytics and how it relates to all aspect of software/system design and infrastructure. Proven experience in a data analytics and business intelligence. Solid foundation in cloud computing including understanding of the cloud technology, cloud architecture and how to design, develop, and manage robust, secure, scalable, highly available and dynamic solutions and services hosted in the cloud. Knowledge of data analytics as an enabler for data-driven decision making (Intelligence) by collecting, transforming, analysing and visualizing data (typically time-series and imagery data). Be experienced in multi-tiered distributed applications which span multi-cloud or hybrid environments with the ability to use the cloud provider database as a service and associated Analytics such as Microsoft or Google Cloud Analytics

Published: September 6, 2017   18:56              

Department: Health Sciences
Workload: 100%
Duties: We wish to appoint a researcher with excellent statistical skills to carry out analyses for three research projects at the University of Leicester. You will develop and implement methodologically appropriate statistical strategies and lead and independently carry out quantitative analyses. This will involve analysis of large national complex datasets, utilising advanced statistical techniques including survival analysis, inverse probability censored weighting (IPCW) and multiple imputation. You will also provide statistical advice and specialist support to study staff and contribute to presentations and publications
Minimum Requirements: The ideal candidate will hold a PhD in Biostatics or Medical Statistics or have a relevant MSc plus extensive research experience. You will also have experience of quantitative statistical analyses, ideally in the area of perinatal or paediatric care. A good working knowledge of the Stata or R statistical software would be beneficial

Deadline: September 21, 2017 | Published: September 6, 2017   07:46              

Department: School of Economics & Finance
Workload: 100%
Duties: The School of Economics and Finance at Queen Mary University of London invites applications for the post of Professor of Economics. Expertise in one or more of the following areas is sought for this position: Applied Micro, Finance, Financial Econometrics and Macroeconomics
Minimum Requirements: The successful candidate must have a clear international profile and reputation for excellence. An outstanding record of publications with demonstrable impact in the field, and a well-established academic network are essential requirements. The successful candidate will be expected to contribute significantly to the development of the School’s research strategies, to be active in attracting research income and to play a full role in leadership and supervision of postgraduate students. A proven ability to provide wider leadership at the School, and to engage with government institutions, is essential

Deadline: October 8, 2017 | Published: September 5, 2017   13:31              

Department: School of Economics & Finance
Workload: 100%
Duties: The School of Economics and Finance at Queen Mary University of London invites applications from scholars of international distinction for appointments at the rank of Reader in any of the following fields: econometrics, finance and financial econometrics
Minimum Requirements: The successful candidate must have an undergraduate and postgraduate degree and/or relevant professional qualification and/or equivalent professional experience. A clear international profile and reputation for excellence and a well-established academic network are also essential requirements. All applicants should be able to demonstrate the capacity to research and publish at the highest international levels, and to teach and supervise effectively across our main undergraduate and postgraduate programmes. Applicants will have an outstanding record of publications with demonstrable impact in the field

Deadline: October 8, 2017 | Published: September 5, 2017   13:26              

Department: Primary Care & Population Health
Duration: 20+ m        Workload: 100%
Duties: We are expanding our team of epidemiologists and statisticians working on electronic health records and are therefore looking for an individual with a background in epidemiology, medical statistics or related disciplines to work on different epidemiological projects. Depending on skills, experience and expertise the post holder will work on data from primary care databases and other large clinical databases; prepare papers for submission to peer reviewed journals; organise and help provide workshops, training/teaching on courses and research days. A
Minimum Requirements: Applicants must have a PhD in epidemiology or medical statistics as well as knowledge of quantitative research methods and epidemiological study design. Experience in providing epidemiological/statistical support for research is essential, as is experience in conducting successful research related to health care. Experience of conducting research on large clinical datasets (e.g. CPRD, HES or THIN) would be beneficial

Deadline: October 15, 2017 | Published: September 5, 2017   13:22              

Department: Division of Medicine
Duration: 2, 5+ y        Workload: 100%
Duties: We are looking for a talented post-doctoral scientist to use large-scale genomic data to study genetic factors causing and contributing to kidney diseases, particularly IgA nephropathy. We are especially interested in using bioinformatics to unravel the mechanisms linking established genetic associations with kidney disease. The successful candidate will participate in a multinational collaboration to use whole genome sequencing, miRNome profiling and multiplex immunoarray data to uncover new genetic associations and gain insight into the underlying biological mechanisms
Minimum Requirements: With a PhD in bioinformatics of kidney disease or a related subject, the successful candidate will possess expertise in renal disease and expertise in accessing publicly available genomic and other large-scale datasets. As well as skills in the analysis of non-coding genetic sequence variation, the successful candidate will also have evidence of demonstrating a high quality research ability

Deadline: September 18, 2017 | Published: September 5, 2017   13:21              

Department: Wolfson Institute of Preventive Medicine
Duration: 14 m        Workload: 100%
Duties: Applications are invited for an experienced Epidemiologist to provide day-to-day running of this study, and leadership on epidemiological and scientific issues in the study. The work will involve all aspects of the trial, including liaison with general practice centres, day-to-day communication with Clinical Research Network and general practice staff, supervision of a part time data manager to ensure capture of the study data, and analysis and reporting of results. The post reports to the PRU director, and will involve collaboration with PRU investigators in UCL and Exeter, in addition to primary care colleagues
Minimum Requirements: Applicants must have a PhD or equivalent experience in epidemiology/statistics or a related field, experience in cancer research, good interpersonal skills and good methodological skills in epidemiologic research

Deadline: October 4, 2017 | Published: September 5, 2017   11:01              

Department: School of Economics & Finance
Workload: 100%
Duties: The School of Economics and Finance at Queen Mary, University of London invites applications from scholars of international distinction for appointments at the rank of Lecturer in any of the following fields: econometrics, finance and financial econometrics
Minimum Requirements: The successful candidate must have an undergraduate and postgraduate degree and/or relevant professional qualification and/or equivalent professional experience, together with a clear international profile and reputation for excellence. An outstanding record of publications with demonstrable impact in the field, and a well-established academic network are essential requirements. The successful candidate will be expected to contribute significantly to the development of the School’s research strategies, to be active in attracting research income and to play a full role in both undergraduate and postgraduate teaching

Deadline: October 8, 2017 | Published: September 5, 2017   10:46              

Workload: 100%
Duties: Support current actuaries through complex client case work, which may include analysis of risk, structuring, pricing and optimising of reinsurance programmes. Provide actuarial support across a broad portfolio of clients, specialising in Liability Risk & Clash including Casualty, Professional and Emerging (e.g. Cyber) classes of liability business. Assist in non-life reinsurance renewals. Assist in the development of Actuarial models using programming languages such as R and Python. Identify and present areas where improvements may be made enabling tasks to be completed in a more efficient manner
Minimum Requirements: Strong educational background, having studied analytical subjects such as Mathematics, Science or Finance throughout school and/or university. Strong organisational skills with an ability to work under pressure. Strong communicator with an ability to build relationships with stakeholders and present information. Experience in the use of MS Excel required
Preferred Requirements: Experience or interest in computer programming with R, Python or other high level open source languages desirable

Deadline: December 3, 2017 | Published: September 5, 2017   10:31              

Duration: Permanent        Workload: 100%
Duties: This post will involve close working with academic researchers and industrial engineers in teams who will be developing and applying concepts of statistical prediction, to be used in future prototype products and services
Minimum Requirements: Practical experience of the use of Artificial Intelligence and statistical prediction techniques. Real–time data handling skills using techniques to retrieve and cluster raw data. Skilled with developing concepts using Matlab. A functional understanding of electro-mechanical systems. A track record of research journal publications

Deadline: October 10, 2017 | Published: September 5, 2017   10:21              

Duties: The Daphne Jackson Trust is dedicated to returning scientists, engineers, technologists and mathematicians to their careers following a break taken for family, caring or health reasons. Daphne Jackson Fellowships are unique - They offer STEM professionals wishing to return to a research career after a break of two or more years, the opportunity to balance an individually tailored retraining programme with a challenging research project in a suitably supportive environment

Deadline: October 31, 2017 | Published: September 5, 2017   10:18              

Department: School of Mathematical Sciences
Workload: 100%
Duties: As part of this investment, QMUL is seeking a Professor of Mathematics to help progress the School’s ambitions and research strengths. The post holder is expected to provide inspirational research leadership in the Mathematical Sciences and will have a proven track record in research income generation and research achievements of international stature demonstrated through publications, as well as the ability and flexibility to teach across a range of topics in mathematics at various levels
Minimum Requirements: Applications are invited from candidates in any area of mathematical sciences, with particular interest in Statistics, Mathematical Biology, Number Theory, Algebra, Optimisation & Operations Research and Statistical Machine Learning. Applicants whose work has had a significant impact outside of the university environment are particularly encouraged to apply

Deadline: October 2, 2017 | Published: September 5, 2017   07:35              

Department: Institute of Cognitive Neuroscience
Duration: 1+ y        Workload: 100%
Duties: The Decision-Making Group at the ICN researches the neural computations underpinning the decisions making process across a broad range of domains such as perceptual, economic and social choice. We approach this question by combing computational modelling with experimental economics, psychophysics and brain imaging methods including functional and structural MRI, TMS, M/EEG and eye tracking. The post holder will assist with acquiring and analysing behavioural and neuroimaging data from human subjects undergoing a range of tests to study aspects of decision-making function. This is an exciting opportunity to develop the interface of computational and cognitive neuroscience research into decision making
Minimum Requirements: Applicants should have an Honours Degree (minimum 2: 1) in experimental psychology, neuroscience, engineering or computer science and prior experience working with human participants in an experimental or clinical setting. Proficiency in programming in one or more of Python, Matlab, R and/or JavaScript is essential, as is the ability to perform statistical and data visualisation. A broad knowledge of other scientific programming languages, experience with collecting data online (eg via Mechanical Turk), knowledge of cognitive neuroscience technologies such as MRI, M/EEG, TMS and eye tracking and a relevant Masters qualification is desirable

Deadline: October 4, 2017 | Published: September 4, 2017   12:58              

Department: Departments in the Mathematical, Physical and Life Sciences
Duration: 3 y        Workload: 100%
Duties: Applications are invited for the Glasstone Research Fellowship in Science, tenable at the University of Oxford, in the fields of chemistry (inorganic, organic or physical), engineering, mathematics (including computer science and statistics), materials, physics, and plant sciences
Minimum Requirements: Applicants should have completed their doctorate by the time of taking up the Fellowship (normally 1 October of the year in which the offer is made). They should show aptitude for original research in one of the eligible fields above and have a publication record in scholarly journals consonant with experience and field of study. Preference will be given to candidates at an early stage in their research career

Deadline: October 23, 2017 | Published: September 4, 2017   12:02              

Duration: 2 y        Workload: 100%
Duties: Сontribute to the management and coordination of research activities, administrative activities and grant reporting, initiate and join collaborative projects and act as a source of information and advice to other members of the group, disseminate the research as appropriate and in particular present research outputs at conferences, workshops and to stakeholders, and develop ideas for generating research income and assist in applications for research grants
Minimum Requirements: We are looking for an individual with the ability to undertake highly innovative research in the economics of innovation and technological change, and have strong skills in mathematics, programming, and large-scale data analysis. You will hold, or be in the very final stages of completing a PhD/DPhil in a field of quantitative science such as economics, management, physics, mathematics, computer science, biology, statistics or engineering

Deadline: October 6, 2017 | Published: September 4, 2017   11:52              

Department: Mathematical Sciences
Duration: 2 y        Workload: 100%
Duties: We have been developing novel experimental designs to provide more information about ion current behaviour from shorter experiments. We would like to improve our techniques – to describe the ion current and also to characterise drug binding to the channels the currents flow through. This project will develop and test novel approaches for developing mathematical models of how pharmaceutical drug compounds affect ion channel currents in the heart, focussing on experimental design, model selection and model discrepancy techniques, alongside more traditional parameterization problems
Minimum Requirements: Candidates must hold or be near completion of a PhD, or equivalent, in a relevant branch of mathematics/statistics or a closely related field such as physics. Candidates should be confident, organised, have good communication skills and enjoy working as part of a team as well as independently. The successful candidate will be expected to contribute to writing scientific papers, and to disseminating the research at relevant workshops and conferences. They should have evidence that the quality and quantity of their previous research outputs is commensurate with their level of experience. Please see the further particulars for full job selection criteria and project details

Deadline: October 4, 2017 | Published: September 4, 2017   10:58              

Department: Centre for Tumour Biology, Barts Cancer Institute
Duration: 3+3 y        Workload: 100%
Duties: We are seeking an experienced post doctoral scientist to investigate how Barrett’s glands evolve, investigating the clonal relationships between glands with the intent of developing a predictive model of cancer risk using genetic and phenotypic data. The successful candidate will be expected to help drive the direction of the project and develop novel methodology that will allow clinicians to stratify patient surveillance based on cancer risk and their response to therapy, currently a major unmet need
Minimum Requirements: Essential requirements for this post include a PhD in a relevant bioinformatics or mathematics or biological subject (with a significant component of analyzing and modelling big data) and an undergraduate degree in a relevant subject. Research experience in bioinformatics or mathematics or genetic analysis or modelling biological processes is essential. Research experience in cancer would also be desirable. Furthermore, an appropriate publication record is essential. A demonstrated ability to communicate well, work within a team and maintain good laboratory records are also essential. Experience in bioinformatics and/or modelling biological processes is essential in order to perform novel analysis of genomic data acquired from a cohort of Barrett’s patients followed over time that either have or have not progressed to cancer, in order to determine evolutionary patterns that can predict cancer risk

Deadline: September 30, 2017 | Published: September 4, 2017   07:41              

Duration: 1 y +        Workload: 100%
Duties: Assist with the design, development and maintenance of computerized systems linked to clinical trials. Work with TCTU and study statisticians to plan, program and validate analysis datasets. Generate and test SAS programs for use in data validation and cleaning. Build standardized data dictionaries and libraries. Prepare documentation associated with clinical data systemsAttend and report to study meetings
Minimum Requirements: Bachelor's degree in Computer Science, Mathematics, Statistics, Biological Sciences, Life Sciences or related areas. Three years relevant career experience in higher education or pharmaceutical/biotechnology industry. Experience with SAS® programming and statistical analysis. Experience of developing data specifications, writing code to implement these and document preparation. Experience of validating and functionally testing software
Preferred Requirements: Training in GCP, SAS Certification. Experience of working in a clinical research environment. Knowledge of clinical trial legislation. Experience of OpenClinica or other clinical trial data management system

Deadline: October 2, 2017 | Published: September 3, 2017   11:58              

Duration: 2 y        Workload: 100%
Duties: We are seeking to recruit a data scientist with text mining skills to join the Literature Services Team at the European Bioinformatics Institute (EMBL-EBI) located on the Wellcome Trust Genome Campus near Cambridge in the UK. Develop algorithms that mine full text research papers for organisation names and grant IDs for Europe PMC funders. Extend algorithms for mining database accession numbers, resource names or other means of gathering indicators of use of data resources from the literature. Iterative improvement of solutions, with key stakeholders, and analysis of results. Development of interfaces that support easy access to the results of this work
Minimum Requirements: Experience of text-mining as applied to biological data resources in an academic, industrial or publishing setting; Technical ability e.g. Perl, Java, R, XML parsing; Flexible approach and ability to take on new skills; Self starter and able to manage multiple projects

Deadline: September 19, 2017 | Published: September 3, 2017   11:55              

Department: Environment
Workload: 100%
Duties: You will conduct individual and collaborative research. The main duties will be: analysis and interpretation of research data; use of appropriate research techniques and methods; writing up and dissemination of research results, and contributing to the identification of possible new areas of research
Minimum Requirements: Hold a PhD in Economics (or expected to do so by the start date of the project) in Behavioural Science or something equivalent. Have experience/research interests in the ‘economics of happiness’ or in the economics/geography of immigration. Have significant experience with statistical programming such as Stata. Be able to present information on research progress and outcomes, and communicate complex information, orally, and in writing

Deadline: October 13, 2017 | Published: September 3, 2017   11:46              

Department: Biological Sciences
Workload: 100%
Duties: We seek a Quantitative Ecologist to join a Natural Environment Research Council-funded research project that aims to understand demographic variation and population dynamics arising in partially-migratory systems. The appointed Research Fellow will be responsible for designing and undertaking statistical analyses of a substantial multi-year, multi-site and multi-season ring-resighting dataset to estimate spatio-temporal variation in survival and migration probabilities, and for producing high quality outputs in the form of papers and presentations
Minimum Requirements: The ideal candidate will have a background of training and research in quantitative ecology, including sophisticated statistical analyses of complex datasets. They will be an enthusiastic team-worker and collaborative scientist, with interests in linking empirical and theoretical advances

Deadline: September 28, 2017 | Published: September 3, 2017   11:05              

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