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Department: Aeronautics
Workload: 100%
Duties: Applications are invited for an early-stage researcher in the general area of aeroelastic control, as part of a Marie Skłodowska-Curie European Training Network (ETN). ETNs are joint research and training projects funded by the European Union with funding provided for postgraduate researchers from both inside and outside Europe. The main aim of the research work is to develop novel numerical tools to simulate and stabilize nonlinear aeroelastic systems. Particular applications will include very flexible aircraft wings and large floating horizontal-axis wind turbines. This work will require development of control strategies for port-Hamiltonian systems, model reduction of aeroelastic systems and PDE-constrained optimization
Minimum Requirements: A first-class undergraduate degree in Aerospace or Mechanical Engineering, Mathematics or Physics. • The ability to work in an internationally-oriented environment, including fluency in English. • Sound knowledge of at least two of the following disciplines: fluid mechanics, control theory and structural dynamics. • Demonstrable proficiency in computer programming

Deadline: December 15, 2017 | Published: November 18, 2017   20:07              

Department: School of Computer Science and Electronic Engineering
Workload: 100%
Duties: Applications are invited to work on a project aiming at identifying pathways altered by starvation and hypoxia in cancer. The project is developed in close collaboration with clinicians and biologists at the University of Oxford. This is a fixed term appointment to work in the "Computational Intelligence Lab for Biology and Medicine". The PDRA will develop algorithms to identify pathways associated with cancer from transcriptomic and proteomic data. This will involve developing methods for network clustering and data fusion based on generative models and optimisation algorithms. The PDRA is expected to deliver robust, industry-level implementations of these methods and promote their use in the broader scientific community
Minimum Requirements: The ideal candidate will have a PhD in Computer Science, Computational Biology, Bioinformatics or Mathematics, and a strong background in optimisation and/or statistical analysis. Excellent programming skills are essential
Preferred Requirements: Experience in analysing genomic, RNA-seq and mass-spec data is highly desirable but not essential. Previous experience in pathway analysis and/or network modelling is highly valued

Deadline: November 30, 2017 | Published: November 18, 2017   19:55              

Department: Linguistics & English Language
Duration: 3 y        Workload: 100%
Duties: You will undertake research into the major challenge of applying AI (including methods of corpus linguistics and natural language processing) to the understanding of Financial Text, that is, large and varied collections of corporate communication documents. This work will involve developing relevant datasets of financial texts; developing and applying computer-aided (corpus-based and/or NLP) methods to the analysis of, and extraction of quantitative detail from, these texts, including such data mining techniques as text-reuse analysis, sentiment analysis, and data visualization. The results of your analyses will be disseminated as presentations and publications for academic audiences
Minimum Requirements: You will have a PhD in Computer Science, Linguistics, Accounting/Finance or a related area, an emerging track-record of conference presentations and publications, and experience in the in the use of computational and/or corpus-based methods in the study of language and texts

Deadline: December 2, 2017 | Published: November 18, 2017   14:52              

Department: Breast Cancer Research Bioinformatics Group
Duration: 3 + y        Workload: 100%
Duties: Our goal is to perform integrative analyses of novel multi-modal datasets (genomic, transcriptomic, proteomic and metabolomic) to identify new molecular markers of breast cancer. You will work among a team of inter-disciplinary bioinformaticicans who are experts in NGS-data analysis, machine learning and software development; and therefore offering unique training opportunities. Your work will focus on the analyses of multi-modal high-throughput datasets enabling validation of hypotheses and discovery of molecular markers of breast cancer. Additionally, you will also analyse cell based perbutation screens from the same studies
Minimum Requirements: Applicants should hold a degree in a computational subject, have programming and scripting experience, and must have basic knowledge of biology. It is essential to hold a post-graduate qualification in bioinformatics/biostatistics/computational biology or have gained significant experience within bioinformatics/biostatistics role/s

Published: November 18, 2017   14:51              

Department: Computer Science
Duration: until 31 January 2019        Workload: 100%
Duties: We are looking for a highly motivated person to work as Research Associate on the development of Methodologies and tools for Analytics of Big Data and Data Exploration, in the European Commision project SETA. You will participate in SETA Workpackage 5 “Large scale Visual Analytics and Decision Making for Mobility in MetropolitanAreas”, which aims to provide decision support to all the SETA stakeholders (local authorities, citizens, communities) via large scale visual analytics and dedicated services in order to effectively address mobility issues in urban areas
Minimum Requirements: You will have a PhD degree in Computer Science or equivalent experience, a high level of literacy and numeracy and excellent programming and testing skills in different languages (e.g. Java, Javascript, etc.) You will also have excellent experience in data analytics and visualisation

Deadline: December 15, 2017 | Published: November 17, 2017   23:42              

Department: Geography
Duration: 1 y        Workload: 100%
Duties: The Research Associate will be required to assist in the collection, analysis and visualisation of a variety of spatially referenced socioeconomic and criminological datasets. They will also facilitate workshops in Nigeria and create training and data resources associated with the project
Minimum Requirements: The successful can candidate will have a solid background in GIS, have worked with socioeconomic data and, if possible, gained experience working in developing countries. It is essential that they have a PhD (or be very close to its completion), in any of the following: a quantitative speciality within a social or engineering science discipline such as; statistics, geography, economics, sociology, epidemiology/public health, GIS, spatial analysis

Deadline: December 16, 2017 | Published: November 17, 2017   18:57              

Department: Psychology and Language Sciences
Workload: 60%
Duties: The successful candidate will be expected to contribute to two main areas of the project: (1) develop and implement systems for online annotation of audio-video materials. (b) Assist in development of audio-visual materials for research experiments, involving creation of computer animations and/or avatars derived from video and/or motion capture recordings
Minimum Requirements: Applicants must hold a BSc (MSc is highly desirable) in computer science or related fields and have excellent programming skills. Given the focus of the funded work and purpose of this position, experience of working in multidisciplinary research environments is highly desirable

Deadline: December 21, 2017 | Published: November 17, 2017   18:15              

Department: School of Public Health
Duration: until 31 May 2019        Workload: 100%
Duties: This is an exciting opportunity for an ambitious researcher to join a dynamic research group and carry out innovative methodological research that will help answer important questions in population health and global health. The position will involve the development, implementation, and application of novel methodology in statistics and data science. The research is at the cutting edge of global health science, and arises from collaborative research with the World Health Organization and with a worldwide network of scientists from most of the world’s countries, which will give the work far-reaching scientific and policy impact and visibility
Minimum Requirements: The ideal candidate must hold a PhD or equivalent in applied mathematics, (computational) statistics, physics, biostatistics, computer science, systems dynamics/modelling, econometrics, demography or a related quantitative subject; have substantial experience with statistical and/or mathematical and/or computational methods and models, and with management and analysis of large, multi-dimensional and heterogeneous datasets; and have track record of technical and scholarly excellence as demonstrated by publications and methods development and application

Deadline: December 11, 2017 | Published: November 17, 2017   18:13              

Duration: until 31st July 2020        Workload: 100%
Duties: Our goal is to perform cutting-edge bioinformatics analyses and data-mining in collaboration with experimental investigators at the centre identifying new molecular markers of breast cancer. Resultant markers will be examined by co-investigators at the centre and at the clinical trials unit of the ICR. Your work will focus on the development and validation of hypotheses, and implementation of stand-alone bioinformatics tools enabling discovery of molecular markers of breast cancer. The work will include application of existing tools and method development using in-house (as well as publicly available) next generation sequencing datasets such as Exome, Targeted and Whole genome sequencing and RNA sequencing datasets
Minimum Requirements: Applicants should hold a degree in a computational subject, have programming and scripting experience, and must have basic knowledge of biology. It is essential to hold a post-graduate qualification in bioinformatics/biostatistics/computational biology or have gained significant experience within bioinformatics/biostatistics role/s
Preferred Requirements: Additional experience in phosphoproteomic platform or kinome activity analyses will be an advantage

Deadline: November 27, 2017 | Published: November 17, 2017   18:13              

Department: Core Bioinformatics Facility
Duration: 3 y        Workload: 100%
Duties: Work with research teams across the ICR to advise on suitable analysis approaches to address research questions. Provide assistance with experimental design for research groups across the ICR. Apply state of the art biostatistical analyses to support research projects across the ICR. Working closely with other members of the Facility to support scientists across the ICR. Maintain effective processes, procedures and policies to support the work of scientific teams
Minimum Requirements: MSc in Medical Epidemiology or Biostatistics. Proven knowledge in computational biology and cancer genomics. Proven experience in biostatistics as applied to the analysis of large-scale biological data. Proven experience in the application of classical hypothesis testing, linear modelling for classification/regression, multivariate analysis and machine learning methods. Proven experience providing consultancy to assist researchers with experimental design considerations
Preferred Requirements: PhD in Cancer Biology, Biostatistics, Computer Science or associated subject

Published: November 17, 2017   18:13              

Duration: 3 y        Workload: 100%
Duties: The School of Mathematics and Statistics at The Open University is seeking a Research Associate to work on the EPSRC-funded project ‘Classifying wandering domains’
Minimum Requirements: You will have completed, or be close to completing, a PhD in pure mathematics and have experience of undertaking research in transcendental dynamics or a closely related area of complex analysis

Deadline: December 13, 2017 | Published: November 17, 2017   17:51              

Department: Molecular and Clinical Cancer Medicine
Workload: 100%
Duties: We are seeking a Senior Lecturer in Medical Statistics to support the cancer clinical trials and studies in the Cancer Research UK Liverpool Cancer Trials Unit (LCTU). You will collaborate with clinicians, statisticians and research staff within the LCTU and other research departments in the University, to develop specific trials projects. You will develop your own research interests which may be part of a larger research group. This could be methodological research using data collected as part of ongoing trials and translational medicine projects. As a member of academic staff within the Department of Molecular and Clinical Cancer, you will be involved in undergraduate and postgraduate teaching in medical statistics and clinical trials
Minimum Requirements: You should have a PhD in an area with a substantial statistics component

Deadline: November 29, 2017 | Published: November 17, 2017   17:44              

Department: School of Public Health
Duration: until 30 April 2018        Workload: 100%
Duties: We are seeking a Research Fellow with outstanding experience in advanced mathematical modelling techniques, statistics and the epidemiology of HIV and other infectious and non-communicable diseases prevalent in high and low-income settings. The post holder will further need to demonstrate an ability to represent Imperial with external funders and at committee meetings, and be able to create collaborative opportunities and raise grants. The post holder will have direct line management responsibilities for two staff, in addition to summer students
Minimum Requirements: Applicants should have a PhD or equivalent in one of the following areas: mathematical modelling, statistics, infectious disease epidemiology or related subject or a similar quantitative discipline. You should also be able to demonstrate experience working with a wide range of epidemiological data sets using various sophisticated statistical techniques and the ability to make substantial innovations in statistical methodologies

Deadline: November 28, 2017 | Published: November 17, 2017   16:36              

Department: Actuarial Mathematics and Statistics
Workload: 100%
Duties: The School of Mathematical and Computer Sciences (MACS) welcomes applications for an Assistant or Associate Professor in the area of statistics and its applications, including but not restricted to computer-intensive methods applied to the analysis of large and complex data sets arising in actuarial and financial applications, engineering, or the physical, biological or social sciences. To lead, carry out and publish internationally excellent research in actuarial science, insurance/financial mathematics, financial risk or a related area. To actively pursue research funding through the submission of high-quality grant proposals. To further knowledge exchange activities; and to carry out such administrative and promotional activities as may be required to achieve these aims
Minimum Requirements: The candidate will be an established or potential international research leader in their field and will have the relevant experience to be able to engage in our teaching programmes. The successful candidate will also have the enthusiasm and ambition to build a world-class academic group in the discipline and to expand our successful postgraduate programmes into the areas of statistics and data science. The Department has a strong collaborative ethos, which supports our many partnerships, and we seek individuals who have the vision to take a proactive role in exploiting fully the opportunities available

Deadline: December 18, 2017 | Published: November 17, 2017   16:17              

Department: School of Mathematical and Computer Sciences
Duration: 3 y        Workload: 100%
Duties: This post will involve working on a project that seeks to develop our understanding of open integrable quantum spin chains with integrable boundary conditions. In particular, the project aims to develop a universal picture of Baxter relations in open quantum spins chains (Baxter relations are difference equations for certain polynomials Q - the construction and study of these relations is a direct route to 'solving' the underlying model). A key step in this programme will be to develop open analogues of the known q-characters of representations of quantum affine algebras. A secondary goal of the project concerns an application of our Baxter relations to open non-equilibrium statistical-mechanical models known as ASEPs and ASAPs
Minimum Requirements: Applicants should hold a PhD in mathematics or physics with an excellent track record of work in the broad field of quantum integrable systems. They should have a strong interest in algebraic/representation-theoretic approaches, and an interest in learning and developing new mathematical techniques. They should also be interested in the physics of quantum integrable systems

Deadline: December 8, 2017 | Published: November 17, 2017   16:17              

Department: School of Mathematical and Computer Sciences
Workload: 100%
Duties: To lead, carry out and publish internationally excellent research in actuarial science, insurance/financial mathematics, financial risk or a related area. To actively pursue research funding through the submission of high-quality grant proposals. To further knowledge exchange activities. To carry out such administrative and promotional activities as may be required to achieve these aims. To develop and deliver innovative teaching on undergraduate and postgraduate programmes and courses in the discipline area offered by the School of Mathematical and Computer Sciences
Minimum Requirements: To be considered for the role the candidate will be an established or potential international research leader in their field and will have the relevant experience to be able to engage in our teaching programmes. The successful candidate will also have the enthusiasm and ambition to build a world-class academic group in the discipline and to expand our successful postgraduate programmes into the areas of statistics and data science

Deadline: December 18, 2017 | Published: November 17, 2017   16:06              

Department: Institute of Sensors, Signals & Systems
Duration: 21 m        Workload: 100%
Duties: The appointee will be asked to continue work on data fusion for scene mapping, where the data in question is 3D Radar data from the new THz sensors, stereo and optical flow data from cameras, and LiDAR data from a scanning system. The key novelty in the work arises not just from the data sources themselves, which are challenging and rather different from previous radar analysis and fusion sources, but also the need to incorporate changing models of sensor performance as weather deteriorates. Hence, the applicant must have a thorough grounding in statistical signal and image processing. Additional knowledge of neural network methods is advantageous but not essential
Minimum Requirements: Applicants should hold a PhD in a relevant area of Signal and Image Processing or a related subject (or a thesis submitted by the start date of the project). Possess and maintain sufficient breadth or depth of specialist discipline knowledge to develop new techniques in statistical signal processing for data fusion. Must have proven academic ability and a demonstrable high level of technical competence in experimental science and the analysis/modelling of the results. Software programming skills appropriate for the simulation work and algorithmic development. Ability to articulate research work, both in technical reports/papers and by oral presentation
Preferred Requirements: Additional knowledge of neural approaches to data fusion is desirable but not essential. Evidence of ability, subject to opportunity, to guide other researchers, e.g. PhD students and undergraduate project students

Deadline: December 1, 2017 | Published: November 17, 2017   15:02              

Department: Aeronautics
Duration: 3 y        Workload: 100%
Duties: Applications are invited for an early-stage researcher in the general area of aeroelastic modelling and control. The main aim of the research work to be conducted at Imperial College is to develop novel numerical tools to simulate and stabilize nonlinear aeroelastic systems. Particular applications will include very flexible aircraft wings and large floating horizontal-axis wind turbines. This work will require development of control strategies for port-Hamiltonian systems, model reduction of aeroelastic systems and PDE-constrained optimization. Numerical modelling will require extension of in-house software for aeroelastic simulations developed in the Aeroelastics Lab in the Department of Aeronautics
Minimum Requirements: A first-class undergraduate degree in Aerospace or Mechanical Engineering, Mathematics or Physics. The ability to work in an internationally-oriented environment, including fluency in English. Demonstrable proficiency in computer programming. Sound knowledge of at least two of the following disciplines: fluid mechanics, control theory and structural dynamics

Deadline: December 19, 2017 | Published: November 17, 2017   13:53              

Duration: 2 y        Workload: 100%
Duties: You will help design, deliver, manage and analyse programme evaluations – especially randomised control trials and quasi-experiments – in areas such as skills, active labour market policy, transport and business support. You will also draft policy toolkits, evaluate existing studies for quality, and support policy working groups. Working with the other Research Economists, you will also support our local partners to develop and deliver their own policy evaluations. You will also be given the opportunity to develop a wider research agenda of your own, involving robust quantitative evaluation techniques on policy areas of interest to spatial and urban economics
Minimum Requirements: You will have a first or upper second-class undergraduate degree and a Masters in Economics or other quantitative social science discipline. You will also ideally have a PhD in Economics or other quantitative social science discipline (or be within 1 year of completing this) or have experience of individual research work. You will have a sound understanding of econometrics and statistics and be experienced in STATA and other econometrics software. Experience in the execution and write-up of independent research projects is essential. You must have advanced analytical skills in dealing with quantitative and administrative datasets, and must demonstrate an interest in the WWC's areas of work
Preferred Requirements: Knowledge of urban/spatial economics and local economic development is desirable

Deadline: January 4, 2018 | Published: November 17, 2017   13:33              

Department: Computer Science
Duration: 2+2 y        Workload: 100%
Duties: We are seeking to appoint two outstanding research assistants to work on robotics and computer vision within dynamic environments. The job will be based at the Centre for Medical Image Computing and Department of Computer Science, UCL and involve work on a EPSRC fellowship project in Robotic Assisted Imaging
Minimum Requirements: We welcome applications from MSc graduates in Physics, Maths, Computer Science or a comparable subject. We welcome applications from those who have specialised in robotics or computer vision

Deadline: November 30, 2017 | Published: November 17, 2017   10:38              

Department: Computer Science
Duration: 2+ y        Workload: 100%
Duties: The job will be based at the Centre for Medical Image Computing and Department of Computer Science, UCL and involve work on a EPSRC fellowship project in Robotic Assisted Imaging. The key duties will be research excellence, project management and engagement with industrial partners and clinical teams
Minimum Requirements: Candidates are expected to have (or soon to be awarded) a PhD degree or equivalent Industry experience. They should have good technical skills either in programming or hardware system development. We are looking for decides candidates with excellent research background and communication skills

Deadline: December 17, 2017 | Published: November 17, 2017   10:37              

Department: Statistical Science
Workload: 100%
Duties: The post-holder will be expected to conduct original research in statistical data science, and to contribute to undergraduate and postgraduate teaching in statistical science
Minimum Requirements: Candidates should hold or be close to submitting a PhD (or equivalent qualification) in statistics, or a closely related field. It is essential that the successful candidate has research interests that resonate with those in the Centre for Data Science, a proven record of ability to carry out high quality research in statistical data science (including evidence of success in publishing in suitable journals), the ability to construct and deliver lecture courses on topics relevant to the needs of the Department and excellent communication skills

Deadline: December 31, 2017 | Published: November 17, 2017   10:29              

Department: Nuffield Department of Population Health
Duration: 3 y        Workload: 100%
Duties: Develop and lead a programme of research on non-communicable disease epidemiology within the Population Studies Group. Develop a research team by collaborating and liaising across departments with similar interests. This includes coordinating meetings for the research team, motivating and planning research activities, and organising resources in order to promote effective and efficient research. Strategically plan for short and long-term research goals, including the specific publication and analysis plans of a coordinated research programme
Minimum Requirements: Hold a relevant PhD in epidemiology or medical statistics, or equivalent experience (i.e. relevant research experience). Significant post-doctoral experience as an independent research epidemiologist. Strong publication record in vascular, cancer, or other chronic disease epidemiology. Proficiency with statistical software, e.g. SAS, R, STATA
Preferred Requirements: Relevant qualification and/or training related to teaching in higher education. Good track record of successful grant applications

Deadline: December 18, 2017 | Published: November 16, 2017   23:37              

Workload: 100%
Duties: We’re looking for a number Investment Analysts to join our Wealth Defined Benefits (DB) team. As a DB investment analyst you will be supporting our investment consultants in providing a range of first class investment services to clients. Acting as a support analyst on a range of DB Pension Fund clients; ensuring senior associates and consultants receive the appropriate level of support. Producing and checking reports containing complex investment advice. Attending and participating in client meetings. Determining appropriate investment strategies and structures for clients; engaging with specialist groups, where appropriate
Minimum Requirements: Proven Investment Analyst experience; ideally within an investment consulting environment. Willing to embark on or be making good progress with your Actuarial or CFA exams. Additionally, will have to be willing to complete your Investment Management Certificate. Educated to degree level (minimum 2: 1) in a numeric subject and have 300 UCAS points with grade B or above in A Level Maths (equivalent qualifications accepted). Strong IT skills with good working knowledge of Microsoft Office, including Excel. Excellent planning and organisational ability in order to prioritise and complete work in accordance to deadlines

Published: November 16, 2017   23:37              

Duration: 2 y        Workload: 100%
Duties: To advance science by pursuing effective high quality research within the specified research project. The main duty of the post holder will be to undertake the mathematical modelling part of the research outlined in the JPI-AMR/MRC funded project DARWIN (Dynamics of Antimicrobial Resistance in the Urban Water Cycle in Europe). In essence, developing mathematical models and Bayesian inference methods to select appropriate models and infer parameters describing the dynamics of antimicrobial resistance genes, plasmids, and their host bacteria in several compartments of three urban water cycles in the UK, Spain and Denmark
Minimum Requirements: BSc (hons) or equivalent degree in a relevant mathematical, physical, engineering or biological subject. PhD in mathematical, computer or statistical modelling applied to a relevant scientific area in the biological or environmental sciences, or near completion or equivalent proven knowledge, skills and experience. Experience or training in development and analysis of mathematical models (deterministic or stochastic). Experience or training in Bayesian statistical approaches applied to relevant scientific data, including relevant computational methods, e.g. MCMC. Programming skills in relevant languages, e.g. C/C++/Java, Matlab, R, Python
Preferred Requirements: Research experience of modelling or data analysis in antimicrobial resistance. Research experience in bioinformatics applied to genomics or metagenomics. Research experience or knowledge in chemistry, analytical chemistry or water quality analysis. Development or use of risk models to inform policy or practice. Demonstrable success working with stakeholders on politically sensitive or emotive subjects. Demonstrable success managing own contribution to complex research projects

Deadline: December 3, 2017 | Published: November 16, 2017   23:36              

Department: Physics
Duration: 3 y        Workload: 100%
Duties: To undertake novel research to support the development of single-molecule biophysics research programme on a project to investigate to activities of DNA gyrase in live bacteria. Develop/apply novel single-molecule biophysics technologies, in particular bespoke super-resolution fluorescence microscopy applied to live cells. Generate/modify bespoke bio-computational control and analysis software. Take an active part in biophysical experiments in the Leake lab at the University of York, including learning new biological preparation methods where appropriate. Take an active part in associated biochemical and cell biology methods in the collaborating labs (John Innes Centre, University of York) where appropriate
Minimum Requirements: Relevant PhD, or close to obtaining PhD, with a significant biophysics or related component. Understanding of optical physics. Understanding of experimental biophysical methods. Ability to construct/modify/apply complex biophysical apparatus. Ability to deliver high quality presentations at major scientific conferences. The ability to produce high quality journal articles
Preferred Requirements: Understanding of light microscopy. Microscopy skills. Practical knowledge of MATLAB or LabView, or equivalent. Experience in bio-computational/analytical methods. Practical experience of interacting with life scientists. Practical experience in practical biochemistry and/or molecular biology. Experience of genetics manipulation of bacterial systems. Experience of fluorescent protein fusion cell strains design/manipulation

Deadline: December 15, 2017 | Published: November 16, 2017   23:36              

Department: Engineering Science
Duration: 1 y +        Workload: 100%
Duties: Collect battery test data from our lab, and from industrial and academic collaborators. Pre-process test data as necessary to allow efficient model fitting and validation. Design, implement and test new approaches, and extend existing approaches, for battery health estimation. Design, implement and test data-driven failure and changepoint detection algorithms. Extend and further develop approaches for remaining useful lifetime estimation. Disseminate results, including source code, through appropriate avenues such as online repositories, publications, and interactive toolboxes
Minimum Requirements: Hold a PhD/DPhil (or near completion) in engineering, physics, mathematics, computer science, or other related area (candidate who will submit their thesis before the end of 2017 may also apply). Demonstrable competence and experience in control engineering or probabilistic machine learning, including state estimation for dynamic systems. Proven software engineering skills in Matlab, Python, or another framework for numerical computation and parameter estimation. Proven track record of high quality publications
Preferred Requirements: Experience of battery testing. Experience of Bayesian approaches to parameter estimation. Experience of fault and changepoint detection

Deadline: November 30, 2017 | Published: November 16, 2017   23:36              

Workload: 100%
Duties: To create and disseminate knowledge through initiating and conducting original research and through publications; to develop and deliver undergraduate, postgraduate and CPD programmes, as appropriate to the disciplinary area. To contribute to the department/school through management/leadership, and enterprise activities, as appropriate. To plan and carry out research in the area of Probability and Modern Statistics using appropriate methodology and techniques. To use a variety of methods in teaching and advising individuals and groups of undergraduates, postgraduates, or CPD students
Minimum Requirements: A PhD in Mathematics or related areas. Extensive research experience and scholarship within the area of probability and modern statistics broadly defined, including: statistics, probability theory, computational data analysis, machine learning, or related areas. Experience and achievement reflected in a growing reputation. Extensive experience and demonstrated success in planning, undertaking and project managing research to deliver high quality results. Ability to design, deliver, assess and revise teaching programmes. Ability to contribute to School/Departmental management processes. Ability to assess and organise resources effectively

Deadline: December 13, 2017 | Published: November 16, 2017   23:13              

Department: Institute of Cardiovascular Science
Workload: 100%
Duties: You will work on the SABRE project. Detailed phenotypic assessments, including non-invasive state of the art imaging of heart, vascular system and brain have been performed, and the cohort is genotyped with metabolomic characterisation. The most recent clinical assessment, funded by the British Heart Foundation (BHF), will complete December 2017. You will be writing papers on ethnic differences in the association between mid life risk factors and later life cardiovascular disease. You will be in a supportive, multi-disciplinary environment that will enable you to develop understanding of cardiometabolic disease and enhance your analytical skills
Minimum Requirements: Candidates will have a Masters degree in Epidemiology or Statistics, knowledge of relevant research methods together with experience of working with large datasets or cohorts. Good verbal and written communication skills and time mangement skills are essential

Deadline: November 29, 2017 | Published: November 16, 2017   09:19              

Department: Mathematics
Workload: 100%
Duties: The responsibilities of the post will include: carrying out high-level research into the construction and arithmetic applications of Euler systems, submitting publications regularly in refereed journals and participating in national and international conferences
Minimum Requirements: Candidates should either have a PhD or equivalent qualification in algebraic number theory, should be finalising their PhD or waiting for their viva date. It is essential that the successful candidate will have experience in the theory of modular forms and modular curves. Knowledge of Iwasawa theory or p-adic Hodge theory is desirable. Candidates will have excellent interpersonal, oral and written communication skills

Deadline: December 20, 2017 | Published: November 16, 2017   01:02              

Duration: 1 y        Workload: 100%
Duties: This is an exciting opportunity for a scientist with a flair for computer programming, at the cutting edge of imaging informatics in cancer research. You will be working with Big Data at the interface of radiology and genomics, on a programme whose overall aims are to apply advanced information- and image- processing techniques to the study of tumour classification and response to treatment. You will be involved in the study of both rare and common cancers, which provide interesting and different challenges and whose solutions can make a real difference to patients’ lives
Minimum Requirements: Senior Informatics Scientist: you must have a degree level in computer science, physics, mathematics, computational biology and demonstrable excellent programming skills in both scripting and high-level languages (preferably including Java), together with an extended knowledge of computing in a medical field and experience of a wide range of projects. Informatics Scientist: ideally, you will be educated to degree level and you must have demonstrable excellent programming skills (preferably including Java)

Published: November 15, 2017   17:47              

Department: London College of Fashion
Duration: Permanent        Workload: 100%
Duties: To equip students to become professional managers within industry, we rely on an outstanding academic team who are as imaginative, forward-thinking and visionary, as they are knowledgeable and informed: people with hands-on experience of their industry and a keen eye on the future. You will work within the broad area of business intelligence, which includes quantitative methods and statistics, financial analysis and other applications and technologies for accessing, gathering, analysing, and storing data
Minimum Requirements: You will have Master’s degree in a relevant subject area (e.g. economics, finance, business studies, quantitative methods, accountancy, or similar) with significant competence in quantitative data analysis. Experience of working with data either in a financial/statistical business environment or through experience in quantitative research is essential. Ideally this will be matched by professional experience recognised by membership of a professional body (e.g ACA/CIMA/ACCA/CIPFA/CMI or equivalent). An excellent communicator, you will have the expertise and insight to adapt your style, approach, content, and learning materials to suit the needs of your students. A working knowledge of SPSS is also essential for this role

Published: November 15, 2017   12:04              

Department: Nerc
Duration: 3 y        Workload: 100%
Duties: Mathematical modeller, researching and developing hydrological modelling and forecasting systems. The role will focus on researching and developing hydrological modelling and forecasting systems for use in the UK and overseas at local, regional and national scales, particularly in support of flood warning and environmental management. The role involves researching new modelling methods - incorporating weather radar, Numerical Weather Prediction products, digital terrain models and spatial datasets relating to soil, geology and land-cover - and assessing these against existing methods
Minimum Requirements: You will have at least a 2.1 degree and either a PhD or relevant postgraduate experience in a highly numerate science subject, or equivalent, you should have a strong interest in researching, developing and implementing modelling systems of the natural environment, you should have demonstrable experience of mathematical modelling, you will be able to demonstrate excellent team working skills providing examples of how you work independently and within a team, you must be able to demonstrate through examples how you would communicate effectively with different audiences, including colleagues, senior managers, external scientists and customers

Deadline: January 3, 2018 | Published: November 15, 2017   11:58              

Department: Nerc
Workload: 100%
Duties: Support investigation of ways to improve hydrological situation monitoring and forecasting in the UK and Internationally, investigate how stakeholders and the public interact with hydrological status information such as drought indicators and forecasts and how these are delivered, undertake hydrological modelling, including calibration and assessment of a number of hydrological models, conduct statistical analysis of observational data and model outputs, to understand forecast reliability and uncertainty, carry out research to understand long-term hydro-climatic trends and variability using a range of datasets
Minimum Requirements: You will be trained in a wide range of methods for analysing observed and modelled hydrological datasets, you will be trained in calibration and assessment of a number of hydrological models, you will gain exposure to novel data visualisation and statistical analysis methods, you will gain advanced skills in a range of programming languages (e.g. R, Python) and spatial data analysis using GIS, you will gain exposure to state-of-the-art methods for drought monitoring and forecasting, you will gain experience in the operational delivery of National Hydrological Monitoring Programme products

Deadline: December 11, 2017 | Published: November 15, 2017   11:54              

Department: Centre for Primary Care and Public Health - Blizard Institute
Duration: 9+ m        Workload: 40%
Duties: We are looking for an experienced and enthusiastic systematic reviewer to undertake a key role in advising on, supporting and undertaking systematic reviews. Based in Whitechapel in the heart of London’s east end, the Centre for Primary Care and Public Health brings together some of the UK’s leading researchers, practitioners and educators in a vibrant, multidisciplinary group, including those with backgrounds in general practice, biostatistics, medical sociology, immunology, genetics, public health, nursing, bioethics and psychology, with the aim of delivering world-leading research and education to inform and support local, national and global primary care and public health

Deadline: January 3, 2018 | Published: November 15, 2017   06:30              

Department: Academic Services
Workload: 100%
Duties: We are seeking a new lead systems developer, with a background in higher education data reporting, to manage our student-related systems. They will be responsible for the development and support of our Registry systems, for maintaining the integrity of our student data, and for several significant projects
Minimum Requirements: Undergraduate degree in computer sciences, mathematics, or other related field (or equivalent professional experience). Excellent knowledge of object-oriented PHP, or a similar scripted programming language. Excellent understanding of SQL, including triggers, stored procedures, and complex JOINs. Recent experience of building and extending bespoke applications using PHP (or similar) and SQL. Experience of a student record system (ideally Unit4 Agresso Students/QLS)
Preferred Requirements: Masters degree in web development or a related technology. PRINCE2 Foundation or Practitioner certified. Demonstrable experience of building interfaces with third-party applications and data feeds, using a REST API or similar. Experience of producing statutory data returns. Familiarity with SSRS or similar reporting services. Experience of managing a complex IT change projects or data migration. Familiarity with a code control/versioning system such as Subversion

Deadline: December 11, 2017 | Published: November 14, 2017   21:54              

Department: Computer Science
Duration: 2 y +        Workload: 100%
Duties: The Department of Computer Science has a vacancy for a Research Associate to work on computational issues related to the analysis of guarded logics. Complexity analysis and decidability analysis for guarded logics. This may include extensions of classical guarded logics with built-in functions and recursion. Development and analysis of proof systems for reasoning with guarded logics. The study of interpolation and the conversion from implicit to explicit definitions for guarded logics. This will include the connection of interpolation for guarded logics with automata
Minimum Requirements: A first degree, and a doctoral degree in Computer Science or related discipline (obtained already, or about to be obtained). A research record in one or more of the areas of: automata theory, finite model theory, proof theory, modal logic, description logics, database theory, theorem proving, verification. Ability to manage own academic research and associated activities. Previous experience of contributing to publications/presentations. Ability to contribute ideas for new research projects and research income generation
Preferred Requirements: Programming experience, preferably in Java or C++. For a candidate working in database systems, extensive programming and experimental experience will be required. Experience of working in collaborative or interdisciplinary environments. Experience of independently managing a discrete area of a research project. Experience of actively collaborating in the development of research articles for publication

Deadline: December 11, 2017 | Published: November 14, 2017   21:17              

Duration: 3 + y        Workload: 100%
Duties: We are seeking an experienced Cancer Bioinformatician to join Breast Cancer Research Bioinformatics Group. Our goal is to perform integrative analyses of novel multi-modal datasets (genomic, transcriptomic, proteomic and metabolomic) to identify new molecular markers of breast cancer. You will work among a team of inter-disciplinary bioinformaticicans who are experts in NGS-data analysis, machine learning and software development; and therefore offering unique training opportunities. Your work will focus on the analyses of multi-modal high-throughput datasets enabling validation of hypotheses and discovery of molecular markers of breast cancer
Minimum Requirements: Applicants should hold a degree in a computational subject, have programming and scripting experience, and must have basic knowledge of biology. It is essential to hold a post-graduate qualification in bioinformatics/biostatistics/computational biology or have gained significant experience within bioinformatics/biostatistics role/s

Deadline: December 10, 2017 | Published: November 14, 2017   18:01              

Duration: 3 y        Workload: 100%
Duties: The role focuses on assisting research groups to develop experimental designs suitable to address research questions and the provision of diverse biostatistical analyses to support cancer research across the ICR
Minimum Requirements: MSc in Medical Epidemiology or Biostatistics. Proven knowledge in computational biology and cancer genomics. Proven experience in biostatistics as applied to the analysis of large-scale biological data. Proven experience in the application of classical hypothesis testing, linear modelling for classification/regression, multivariate analysis and machine learning methods
Preferred Requirements: PhD in Cancer Biology, Biostatistics, Computer Science or associated subject

Published: November 14, 2017   18:00              

Department: Radiotherapy and Imaging
Duration: 2 y        Workload: 100%
Duties: A vacancy exists in the Radiotherapy Physics Modelling Research group of The Joint Department of Physics for a Postdoctoral Training Fellow to perform research on the development and validation of automated MRI-based treatment planning
Minimum Requirements: We are seeking a physicist/engineer or computer scientist with a strong background in computational methods and software development. You will be part of a CRUK funded Accelerator network grant ‘ARTNET’. You must hold a PhD degree in physical, mathematical or computer sciences, and have demonstrable experience of programming scientific software as well as experience of image processing

Deadline: November 30, 2017 | Published: November 14, 2017   12:13              

Department: Centre for Ecology and Hydrology
Duration: 3 y        Workload: 100%
Duties: You will focus on water resources management from field to global scales, applying a range of CEH models to understand the hydrology of catchments in the UK and abroad. Within the role, you will develop broad hydrological expertise with a specialisation in water resources modelling. You will contribute effectively to a variety of current and planned projects that involve hydrological modelling, including those in the UK (for example, under the NERC funded DRY project investigating drought) and India (as part of the UPSCAPE project focusing on the Cauvery basin in southern India) and sub-Saharan Africa
Minimum Requirements: MSc in a related subject (for example in physical/environmental sciences, maths or engineering), or a good degree (2.1 or higher in a related subject) with some years of relevant experience; knowledge and understanding of the fundamentals of environmental modelling, with some experience in applying mechanistic models; strong IT skills with proven ability in computer programming (preferably in FORTRAN, Python or R) and be able to give examples of application of those skills in an environmental context; familiarity with (one or more of): relational database management systems (e.g. ORACLE, SQL Server, MySQL), geographical information systems (e.g. ArcGIS, QGIS/GRASS), or statistical packages (e.g. R, SAS)

Deadline: December 11, 2017 | Published: November 14, 2017   11:26              

Duration: 3 y        Workload: 100%
Duties: The successful candidate will be responsible for coordinating the EMBL-EBI’s part in the FREYA project focusing on research into the state-of-the-art of persistent identifiers (PIDs). You will undertake analysis to gather data and requirements on potential new PID types, use cases and services. Understanding the current usage of PIDs, the landscape of mature services around PIDs, and identifying gaps will be a key part of the role, as will prototyping new PID services. Investigation into current usage and possible future requirements of persistent identifiers in the life sciences and (with other FREYA partners) in other disciplines; Data analysis
Minimum Requirements: Advanced degree e.g. MSc/MA or PhD in information science, bioinformatics, or similar. Three years of professional experience from within either bioinformatics research, the journal publishing industry, information/library science, or similar. Technical/analytical ability, for example, experience of one or two of: Perl, Java, XML technologies, R, complex query development

Deadline: December 11, 2017 | Published: November 13, 2017   22:47              

Department: School of Architecture and the Built Environment
Duration: until 28 February 2021        Workload: 100%
Duties: The postholder will operate and develop electricity market models in accordance with energy scenarios that will also be developed to the year 2040 for the Island of Ireland. The project will deliver necessary market techniques and models to successfully model future electricity market structures
Minimum Requirements: Degree in an engineering or applied sciences discipline or related subject. Postgraduate research experience in programming complex interrelationships in for example MatLab or similar tool set
Preferred Requirements: Experience of Electricity Market modelling and operations. Experience of research proposal development. Experience of collaboration with related national or international institutions

Deadline: December 4, 2017 | Published: November 13, 2017   21:39              

Department: Data Science
Duration: 2 y        Workload: 100%
Duties: The canSAR team is a multidisciplinary team focused on the development and provision of canSAR, the world's largest public cancer drug discovery resource. We are seeking an experienced Chemoinformatics Officer to join the canSAR team. The appointee will focus on the development and maintenance of software workflows and pipelines for chemical, drug, and pharmacological data integration into the canSAR database, curation of current and new data sources and analysis using open access chemoinformatics toolkits and software. The successful candidate will work in a multidisciplinary team, comprised of 3 software and web developers, a structural bioinformatician and a bioinformatics officer
Minimum Requirements: Masters, or equivalent degree in Chemistry, Computational Chemistry or related subject. Proven knowledge in Chemoinformatics/Computational Chemistry. Proven experience analysing large-scale chemical data using open access chemoinformatics software such as RDKit
Preferred Requirements: PhD in Chemoinformatics or related subject. Knowledge in Cancer Biology/Drug discovery

Published: November 13, 2017   18:14              

Department: Great Ormond Street Institute of Child Health
Duration: 15+ m        Workload: 100%
Duties: The post holder will play a key role in a project which will examine how cognitive ability and educational achievement in childhood impacts on health and health inequalities. They will carry out quantitative analysis using the Millennium Cohort Study (MCS). The post offers an excellent career development opportunity for a researcher trained in quantitative analysis techniques who has recently been awarded a PhD
Minimum Requirements: Applicants should have a PhD in epidemiology, statistics, or other relevant public health science or health/education-relevant domain, or equivalent level of attainment. He/she should have strong analytic skills, including statistical analysis are essential, together with a strong working knowledge of research methods in epidemiology and statistics. It would be advantageous if post holder had an understanding of research and policy related to health inequalities. Applicants should be able to work both independently and as part of a team

Deadline: November 24, 2017 | Published: November 13, 2017   14:25              

Department: UCL Institute of Neurology
Duration: 2, 5+ y        Workload: 100%
Duties: This project aims to prospectively assess the use of cognitive (language and memory) functional imaging techniques to predict cognitive outcome after temporal lobe surgery in patients with refractory temporal lobe epilepsy. It also aims to improve processing techniques of individual cognitive fMRI methods and to explore the longitudinal changes of language and memory networks using techniques such as machine learning, functional and structural connectivity. The post holder will be expected to undertake neuropsychological assessments in healthy controls and to deliver cognitive rehabilitation to patients
Minimum Requirements: Applicants should have a PhD or equivalent in neuroimaging, imaging neuroscience, machine learning, or a related discipline with a strong methodological background and experience in neuroimaging methods, machine learning or multivariate statistics. Experience in neuroimaging data analysis is essential, as is proficiency in Matlab, Statistical Parametric Mapping or other scientific programming platform. Experience in connectivity analyses and machine learning techniques, in administering neuropsychological measures and in software development is desirable

Deadline: December 3, 2017 | Published: November 13, 2017   14:13              

Duration: until 31st January 2020        Workload: 100%
Duties: We are looking for a highly motivated infectious disease modeller to join the world-leading Centre for the Mathematical Modelling of Infectious Diseases. The successful candidate will combine mathematical models with novel surveillance and serological data to examine the dynamics of infection and immunity for antigenically variable pathogens such as influenza and dengue. As well as investigating individual-level cross-reactive antibody responses to such viruses, the work aims to predict how these responses shape pathogen invasion and transmission at the population level. This will involve the development and parameterisation of a range of dynamic models and will make use of some of the best available data for influenza and flaviviruses
Minimum Requirements: PhD in mathematical modelling, statistics, epidemiology or another relevant discipline with a strong quantitative component. Candidates should also demonstrate experience in mathematical modelling, preferably on infectious diseases, and have a promising publication record

Deadline: December 1, 2017 | Published: November 13, 2017   13:08              

Department: Epidemiology & Population Health
Duration: until 31st March 2020        Workload: 100%
Duties: The collaboration focusses on research questions in psychological medicine. You will act as trial statistician on the HOME trial, investigating whether offering proactive liaison psychiatry to older people admitted to hospital can reduce time spent in hospital and/or improve patient outcomes. The other component of the work will involve carrying out further statistical analyses of data from trials and epidemiological studies that have already been completed, with a focus on statistical issues such as causal modelling and mediation. The trials include the SMaRT Oncology-2 and 3 trials, which found evidence for the effectiveness of a depression management program in patients with cancer
Minimum Requirements: Candidates should have an MSc or equivalent in Medical Statistics and a track record of effective participation as a statistician in medical research projects that is commensurate with time spent in relevant employment. They should have an aptitude for methodological and applied research in statistics and some experience of clinical trials

Deadline: December 8, 2017 | Published: November 13, 2017   11:54              

Department: Judge Business School
Duration: 9 + m        Workload: 100%
Duties: As a quantitative researcher, you will be joining a collaborative and fast-growing research team at one of the newest research centres within the School. This role requires you to clean, aggregate and analyse large datasets from complex and multiple sources to inform the CCAF's cutting-edge research in the fast-evolving field of alternative finance. It involves handling large volumes of transaction level data from online and offline alternative finance channels, utilizing your interpretive and problem-solving skills to process and efficiently derive data-driven insights and seeking patterns in large, noisy data sets using statistical techniques such as time series and regression analysis
Minimum Requirements: This position is ideal for a motivated researcher with a passion for academic research and expertise in applied statistics, data mining, analysis, visualisation and modelling. PhD in a highly quantitative subject (mathematics, statistics, econometrics, physics, quantitative social science, quantitative finance, computer science, physics or engineering). You should have substantial experience with scripting languages e.g. Java, C/C++, Python, Perl, PHP and text mining tools e.g. Stata, SPSS, R, NLTK, Stanford NLP, Mallet, WEKA, Oracle Data Miner, R Rattle, IBM modeler etc. You should also have evident experience in data crawling and data scraping. The ability to manage your own workload is a prerequisite of this role

Deadline: December 10, 2017 | Published: November 13, 2017   10:40              

Department: Breast Cancer Research Bioinformatics Group
Duration: until 31st July 2020        Workload: 100%
Duties: You will work among a team of inter-disciplinary bioinformaticicans who are experts in NGS-data analysis, machine learning and software development; and therefore offering unique training opportunities. Your work will focus on the development and validation of hypotheses, and implementation of stand-alone bioinformatics tools enabling discovery of molecular markers of breast cancer. The work will include application of existing tools and method development using in-house (as well as publicly available) next generation sequencing datasets such as Exome, Targeted and Whole genome sequencing and RNA sequencing datasets
Minimum Requirements: Applicants should hold a degree in a computational subject, have programming and scripting experience, and must have basic knowledge of biology. It is essential to hold a post-graduate qualification in bioinformatics/biostatistics/computational biology or have gained significant experience within bioinformatics/biostatistics role/s
Preferred Requirements: Additional experience in phosphoproteomic platform or kinome activity analyses will be an advantage

Deadline: November 27, 2017 | Published: November 13, 2017   10:40              

Department: Leeds Institute of Clinical Trials Research
Duration: 3 y        Workload: 100%
Duties: You will work on internationally renowned trials designed to answer questions of real importance to patients and health professionals, ultimately improving disease outcomes and patient care. You will have opportunities to research, apply and develop statistical methodology, together with general consulting and training of health professionals. You will be involved in a wide range of statistical activities, including designing, conducting, analysing and publicising clinical trials, preparing grant applications and presenting at national and international conferences
Minimum Requirements: You will be a talented and dynamic individual with a postgraduate qualification, including a major statistical component, and an interest in in early through to late phase trials evaluating medicines, surgery, medical devices or complex/behavioural interventions, especially in cancer, stroke & older people, mental health, gastroenterology, musculoskeletal disease, cardiovascular disease, skin research or primary care

Deadline: December 5, 2017 | Published: November 13, 2017   10:39              

Department: Core Bioinformatics Facility
Duration: 3 y        Workload: 100%
Duties: The role focuses on assisting research groups to develop experimental designs suitable to address research questions and the provision of diverse biostatistical analyses to support cancer research across the ICR
Minimum Requirements: MSc in Medical Epidemiology or Biostatistics. Proven knowledge in computational biology and cancer genomics. Proven experience in biostatistics as applied to the analysis of large-scale biological data. Proven experience in the application of classical hypothesis testing, linear modelling for classification/regression, multivariate analysis and machine learning methods. Proven experience providing consultancy to assist researchers with experimental design considerations. Proven experience in the creative application of analysis methods to novel biostatistical problems. Proven experience developing scripts for data analysis workflows using R, Matlab, Python and similar tools
Preferred Requirements: PhD in Cancer Biology, Biostatistics, Computer Science or associated subject

Deadline: December 3, 2017 | Published: November 13, 2017   10:38              

Department: Division of Medicine
Duration: 2+ y        Workload: 100%
Duties: To undertake research as stated in the main purpose. To play an active role in the Centre for Medical Imaging (CMI) contributing to meetings and overall activities. To prepare and present findings of research activity to colleagues, interested parties and at appropriate conferences. To help and support submission of research grant proposals
Minimum Requirements: With a PhD or equivalent research experience in MRI physics, biomedical engineering, or a comparable subject, the successful candidate will have strong expertise in programming or using high-level languages or packages (e.g. C/C++, Matlab, OsiriX) and a strong background in MR physics. A good publication track record and some experience in clinically-relevant MRI research is essential (substantial expertise preferred). Applicants close to submission of a thesis will be considered

Deadline: December 10, 2017 | Published: November 13, 2017   06:11              

Department: Institute of Health Informatics
Duration: 4+ y        Workload: 100%
Duties: The candidate will have an interest in the integration of phone and wearable data with electronic health records and omics and will therefore link directly to other projects including our leading electronic health record (EHR) based clinical informatics platforms for real-time decision support, natural language processing, trial recruitment and research such as CogStack (@cogstack; github.com/CogStack and EU projects such as KConnect.eu)
Minimum Requirements: The Appointee will have a strong background in one or more relevant disciplines including: software development, streaming analytics, bioinformatics, clinical, biomedical, health informatics, and natural language processing and computer science. Relevant Master’s degree and.or PhD degree (biological science, statistics computer science, bioinformatics or equivalent) or demonstrable significant relevant experience is desirable. J2EE and extensive experience. Android App development; ability to write code that clearly expresses its purpose such that it can be maintained and extended; software maintenance, refactoring, and enhancement of existing applications; and significant Java experience are essential

Deadline: December 10, 2017 | Published: November 13, 2017   06:07              

Workload: 100%
Duties: Drive profitable growth through delivery of strategic insight through the business performance management analysis process Drive consistent pricing practices and consolidation of pricing tools across the organization. Drive the capture of granular data suitable for the continuous pricing improvement process. Ensure the delivery of high quality actuarial service to the business by providing support and technical expertise as needed. Drive the accuracy and integrity of Technical Price through proactive participation in TPCs, the analysis and tracking of TP KPIs, peer reviews and participation in TURs
Minimum Requirements: Qualified or nearly qualified Actuary with experience in actuarial roles, preferably with pricing experience in P&C Lines

Published: November 13, 2017   00:27              

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

Published: November 13, 2017   00:26              

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: November 13, 2017   00:26              

Department: Great Ormond Street Institute of Child Health
Workload: 100%
Duties: The post holder will play a key role in two projects which will assess the potential effectiveness of policy interventions in reducing inequalities in the health of children and young people, through novel simulation techniques; and use cohort data to investigate positive mental health in childhood and adolescence
Minimum Requirements: Applicants should have a PhD in epidemiology, statistics, or other relevant public health science or health/education-relevant domain, or equivalent level of attainment. The postholder should have Strong analytic skills, including statistical analysis are essential, together with a strong working knowledge of research methods in epidemiology and statistics
Preferred Requirements: It would be advantageous if he/she have an understanding of research and policy related to health inequalities and/or child health

Deadline: December 10, 2017 | Published: November 12, 2017   20:54              

Department: Breast Cancer Research
Duration: 3 y        Workload: 100%
Duties: Your work will focus on the analyses of multi-modal high-throughput datasets enabling validation of hypotheses and discovery of molecular markers of breast cancer. Additionally, you will also analyse cell based perbutation screens from the same studies. These datasets will require strong analytical skills to perform integrated analysis and visualisation of multi-omic datasets. You will have opportunities to create/optimise computational pipelines and develop new methods aimed at biomarker discovery in breast cancer
Minimum Requirements: Applicants should hold a degree in a computational subject, have programming and scripting experience, and must have basic knowledge of biology. It is essential to hold a post-graduate qualification in bioinformatics/biostatistics/computational biology or have gained significant experience within bioinformatics/biostatistics role/s

Deadline: December 10, 2017 | Published: November 11, 2017   18:45              

Department: School of Mathematics and Physics
Duration: until 30th September 2018        Workload: part-time
Duties: We are seeking to appoint a graduate in mathematics or a related subject with substantial experience of teaching Further Mathematics at A-level to take on the part-time role of Further Mathematics Support Programme Area Coordinator for the East of England. This post is part of the national Further Mathematics Support Programme (FMSP). Working as part of the FMSP team, the post holder will be responsible for the effective management of support for schools and colleges in the teaching and learning of A-level Mathematics and Further Mathematics in Lincolnshire, South Humberside and parts of North Nottinghamshire
Minimum Requirements: First degree in Mathematics or closely related subject. Mathematics teaching qualification. Extensive secondary teaching experience in Mathematics. Experience of teaching of Further Mathematics at A-level. Creating schemes of work for teaching towards examinations. Use of web-based teaching tools and resources. Planning and running activities within a budget
Preferred Requirements: Planning and running events. Team and staff management

Deadline: January 7, 2018 | Published: November 11, 2017   15:20              

Department: School of Sport, Exercise and Health Sciences
Duration: 5 y        Workload: 100%
Duties: Combining a teaching role with postgraduate research, this PGTA position is an exciting opportunity to complete a PhD under the supervision of Loughborough University's expert staff while gaining invaluable experience in the delivery of learning and teaching. This PGTA position sits within the School of Sport, Exercise and Health Sciences at Loughborough University and will support the teaching of research methods, and supporting students with statistics
Minimum Requirements: Candidates should have a strong, relevant, educational background, excellent communication skills and experience of undertaking a research project. The PhD topic must fall within the School's research themes: Sport Performance, Lifestyle for Health and Wellbeing, and Participation in Sport and Exercise

Deadline: November 26, 2017 | Published: November 10, 2017   23:05              

Department: Physics and Astronomy
Workload: 100%
Duties: The main goals are to ultimately test the Dark Energy paradigm with DES and other surveys, and to measure other cosmological parameters such as the Dark Energy equation of state and the neutrino mass. Produce novel and original research related to the Dark Energy Survey. To contribute to the drafting and submitting of papers to peer reviewed journals. To prepare progress reports on research for funding bodies as required. To contribute to the preparation and drafting of research bids and proposals. To contribute to the overall activities of the research team and department as required
Minimum Requirements: The successful applicant(s) will have, or soon obtain, a PhD in cosmology, data analysis techniques, or statistical methods and will be able to analyse and present complex information effectively to a range of audiences

Deadline: November 23, 2017 | Published: November 10, 2017   17:45              

Department: Research Development
Workload: 100%
Duties: The Research Development Administrator (Performance) is a pivotal post within the Institute of Education’s (IOE) Research Development team to support and develop the IOE’s world-class research agenda. You will operate across the areas of research evaluation, metrics and intelligence. You will provide key support for IOE preparations for Research Excellence Framework (REF) exercises, develop and pioneer new metrics, develop, optimise and maintain IOE research information systems, and work closely with academic and professional services colleagues within the IOE and the UCL Office of the Vice Provost Research (OVPR). In addition, you will support the wider activities of the Research Development team as required
Minimum Requirements: The role requires a high level of data management, analysis and reporting expertise; the ability to manage a complex workload, and take the initiative. You must have good working knowledge and experience of research within UK Higher Education, including the Research Excellence Framework

Deadline: November 23, 2017 | Published: November 10, 2017   17:02              

Department: UCL Department of Medical Physics and Biomedical Engineering
Workload: 100%
Duties: The post-holder will lead the development of electronics for novel smart instruments, medical devices and sensors in the research fields including (but not limited to): Articulated interventional instrumentation, e.g. flexible snake-like robots. Robotic surgery systems and tele-manipulation platforms. Innovative imaging platforms such as photoacoustics, all-optical ultrasound, lightfield etc. Micro-robotic systems for medical interventions. Miniaturised sensors for physiological parameter sensing. Sensors/micro-sensors for instrument/robot proprioception and exteroception, e.g. smart drills. Nanotechnology applications to precision instrumentation
Minimum Requirements: The successful candidate will have a PhD degree in appropriate field or equivalent research experience along with strong mathematical and/or engineering background and relevant experience in one or more research areas listed within the person specification. Excellent knowledge of at least two of the below are also essential. PSpice or equivalent design software. Simulink or equivalent simulation software. VHDL design and simulation software

Deadline: December 9, 2017 | Published: November 10, 2017   16:55              

Department: Experimental Psychology
Workload: 100%
Duties: This Research Software Engineer position is available on a project concerning the neural, psychological, and computational basis of learning and decision making. Core duties include optimising code for numerical simulations, profiling code, parallelising code, preparing software packages to publically distribute (open source) to the wider community through github, conducting simulations of deep learning neural networks using TensorFlow and related packages, and porting code and overseeing analyses and simulations on HPC clusters. Duties will also include other general coding tasks as needed, included web-based data collection and figure preparation (e.g., matplotlib from python)
Minimum Requirements: Applicants should hold a BS in Computer Science, or a closely related field, ideally with some years of experience in position. Experience with scientific programming and code optimisation in C/C++, Python, etc. is a must. The applicant should have a proven track record developing and maintaining code used in scientific or engineering endeavours. Ideally, the applicant can point toward samples of successful software projects that demonstrate proper version control, exception handing, commenting, portability, etc

Deadline: December 10, 2017 | Published: November 10, 2017   16:32              

Department: Population Science and Experimental Medicine
Duration: 1, 5+ y        Workload: 100%
Duties: The post-holder will work with an inter-disciplinary leadership team to test whether associations between lifetime socioeconomic position and physical activity vary by: a) age, sex and ethnicity in Understanding Society; b) age, sex and birth year in coordinated analyses of the British birth cohorts and ALSPAC. In order to undertake these analyses the post-holder will first work with cohort investigators to identify all measures of physical activity and sedentary behaviour available within each study, document these and, undertake data harmonisation where possible
Minimum Requirements: The successful applicant will have a PhD or equivalent in a relevant discipline such as epidemiology, statistics or quantitative social science. They will have published research papers, and show evidence of strong data management skills

Deadline: November 29, 2017 | Published: November 10, 2017   16:25              

Department: Institute for Mathematical Innovation
Duration: 2 y        Workload: 100%
Duties: Institute for Mathematical Innovation seeks to recruit a Prize Fellow to work in one of the following three areas: Machine learning, especially at the interface of probabilistic modelling and neural computation, and in the mathematical foundations of artificial intelligence systems. Statistics and data science, especially novel methodologies and their applications in environmental science, healthcare, or bioinformatics. Mathematical modelling in industry, especially in the development of analytical and computational mathematically-based skills, and their application to industrially-based challenges
Minimum Requirements: A PhD degree in subject area of direct relevance for the project, or equivalent significant relevant experience and professional qualification. Postdoctoral experience in a relevant research field (NB essential for some disciplines, desirable for others). Demonstrated significant depth and breadth of specialist knowledge of subject matter to contribute to research programmes and to the development of departmental research activities. Demonstrated expertise and knowledge in the latest developments in the field of research and in research design. Demonstrated potential to attract research funds. Published papers in high quality peer-reviewed journals. Record of successful supervision of researchers

Deadline: December 31, 2017 | Published: November 10, 2017   11:05              

Department: Bristol Medical School
Duration: 3 + 1 y        Workload: 100%
Duties: You will be part of a wide-ranging international multi-centre study of zika virus, and will focus on mother-to-child transmission of zika and other mosquito-borne viruses, and the consequences for the fetus, newborn and child. A second area of work will be on incidence, prevalence, and diagnostics of these viruses. You will have a further role in providing statistical advice to other members of the consortium. The work requires a statistician with excellent maths and computing skills, with experience of Bayesian data analysis using Markov chain Monte Carlo, and with an interest in medical research
Minimum Requirements: PhD in statistics, mathematics, statistical computing, or similar, or equivalent work experience. Experience with, and strong understanding of, Bayesian statistics. Excellent mathematics skills. Excellent programming skills. Experience with statistical software, preferably R. Competence in standard computer software include Microsoft Word & Powerpoint. Alongside technical expertise in statistics and programming, a desire to carry out applied work, and an interest in fully understanding the clinical and public health context
Preferred Requirements: Experience of medical research. Experience with Markov chain Monte Carlo algorithms and ability to programme an MCMC sampler. Experience with C++ or similar software. Experience with doubly interval censored data. Experience with studies of sensitivity, specificity, incidence and prevalence

Deadline: November 26, 2017 | Published: November 10, 2017   11:03              

Department: Nuffield Department of Population Health
Duration: 1, 5+ y        Workload: 100%
Duties: We are looking for an experienced and enthusiastic candidate to work on economic evaluation of children and adolescent mental health services (CAMHS). The key responsibilities will include preparation of the data analysis, application of an economic evaluation, interpretation of results and dissemination of findings by publishing them in scientific journals and presenting them in international conferences
Minimum Requirements: To be considered you will have a strong graduate and postgraduate qualification in (Health) Economics, (Bio) Statistics, Epidemiology, or other quantitative discipline, or substantial work experience demonstrating an equivalent level of knowledge and expertise. You will also need experience of handling individual patient data sets and good programming and data analysis skills, especially in statistical/econometric methods

Deadline: December 4, 2017 | Published: November 10, 2017   06:58              

Department: School of Mathematics and Statistics
Duration: 29 m
Duties: The post will provide you with the opportunity to lead a programme of work that links environmental controls on disease vectors to modelling of the land surface under climate change. You will be expected to translate knowledge of disease modelling into processes represented in land surface models, which will be used to predict how conditions favourable to disease vectors will change as climate changes
Minimum Requirements: You will hold a PhD (or equivalent experience) in a relevant discipline and experience in mathematical modelling

Deadline: December 11, 2017 | Published: November 10, 2017   06:49              

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: November 9, 2017   23:35              

Department: Radiotherapy and Imaging
Duration: 2 y        Workload: 100%
Duties: We are seeking a physicist/engineer or computer scientist with a strong background in computational methods and software development. You will be part of a CRUK funded Accelerator network grant ‘ARTNET’. This network of five leading RT centres in the UK (The Christie, UCL, Oxford, Leeds, ICR/The Royal Marsden Hospital) will support the acceleration of implementing advanced treatment technologies and protocols into clinical practice
Minimum Requirements: You must hold a PhD degree in physical, mathematical or computer sciences, and have demonstrable experience of programming scientific software as well as experience of image processing

Published: November 9, 2017   14:18              

Department: Pediatrics
Duration: 2 y +        Workload: 100%
Duties: The Goulder group in the Department of Pediatrics at Oxford University is seeking a Postdoctoral Bioinformatician to work on Wellcome Trust and NIH-funded projects investigating HIV cure potential in paediatric HIV infection. The specific work with which the candidate would be engaged on these projects is in deep sequencing of the virus and analysis of the deep sequence data generated. To support the viral sequencing work in the group, including the next generation sequencing of HIV. To help generate HIV deep sequences from samples of plasma and DNA. To analyse HIV NGS datasets using bioinformatics approaches. To interpret, and support the group to interpret, the data generated from bioinformatics analyses of NGS data
Minimum Requirements: A PhD/DPhil in a relevant discipline. Experience in application of bioinformatics tools for the analysis of NGS data. Ability to code in a suitable scripting language (Perl or Python preferred). Experience in the analysis of large molecular datasets, including phylogenetic analysis. Experience and expertise in molecular techniques relevant to virology including the detection, sequencing and analysis of viral RNA and DNA. Multi-tasking; time management skills; able to work to deadlines and achieve milestones

Deadline: December 8, 2017 | Published: November 9, 2017   14:13              

Workload: 100%
Duties: The current position will work on livestock disease surveillance (topic 3) in a range of areas that include analysis to add value to existing data collections; developing statistical approaches to integrate and analyse surveillance datasets; developing tools to detect changes in population characteristics and developing risk based approaches to disease surveillance. There is considerable scope to develop new strands of work within the existing framework and the post-holder will be expected to participate in the development of other projects within EPIC, as well as future projects
Minimum Requirements: The successful candidate will have formal epidemiological/statistical training to PhD level (or near completion) with, ideally, relevant post doc experience. They must work well within a team, have good communication skills and be comfortable working with and presenting to both scientists and government policy makers while being able to drive their own research within the remit of the project. Experience in implementing Bayesian graphical models, or related statistical methodologies, in R or other statistical platforms, would be highly desirable. Knowledge of the Scottish and European livestock industry would be an advantage

Deadline: December 1, 2017 | Published: November 9, 2017   13:52              

Department: London Institute of Medical Sciences
Duration: 3 y        Workload: 100%
Duties: To analyse a diverse range of biological data for LMS members. To develop novel tools and techniques to analyse biological datasets. To develop expertise in the analysis of hyphenated mass spectrometry-based ‘omics’ data sets with a focus on proteomics and metabolomics data. To communicate bioinformatics analysis and statistics principals to postgraduates, research scientists and principal investigators. To ensure the validity and reliability of data and statistics methods at all times. To maintain accurate and complete records of analysis projects
Minimum Requirements: PhD in Computational Biology, Biostatistics, Bioinformatics or Biological Sciences or equivalent research, industrial or commercial experience. Knowledge of molecular biology and genomics. Experience with bioinformatics/biostatistical techniques and tools used in molecular biology and genomics. Experience in using R and Bioconductor packages in the analysis of biological data. Proficiency in the acquisition and analysis of high throughput proteomics data or showing potential to develop and apply the required skills for analysis of such data
Preferred Requirements: Evidence of a high level of skill in at least one general programming language (Python, Java or C++ are preferred). Evidence of working on statistical software (SAS, R, SPSS). Previous experience with ‘omics’ data analysis and associated computational platforms (such as Perseus). Proven ability in software development and the collaborative use of source control. Experience in training biologists and bioinformaticians in the use of bioinformatic tools

Deadline: December 15, 2017 | Published: November 9, 2017   11:24              

Workload: 100%
Duties: To undertake teaching, provide academic leadership and supervise modules in Engineering Mathematics including Matlab. This will include supervision of research students and student projects up to doctoral level
Minimum Requirements: Honours degree or equivalent (2.1 or above) in a relevant field. Masters qualification in a relevant field. Extensive industrial or academic experience in one of the following areas: Mathematics, Engineering. Ability to use a range of delivery techniques to enthuse and engage students and familiarity with strategies to promote learning. Engaged in continuous professional development. Competency in IT and an understanding of how to use IT applications in teaching
Preferred Requirements: A relevant doctoral qualification. Experience of research, as evidenced by academic journal papers and other outputs. Experience or ability in management and administration of education and training courses. A relevant professional qualification and/or active membership of a professional body

Deadline: December 6, 2017 | Published: November 9, 2017   10:59              

Department: Orthopaedics, Rheumatology and Musculoskeletal Sciences
Duration: 3 y        Workload: 100%
Duties: As a Senior Medical Statistician, you will collaborate directly in clinical research as the sole or senior statistical person; you will work with a multidisciplinary team to bring unique insights to the epidemiology of ageing and musculoskeletal health, through the development and application of existing and novel methods. You will also provide written statistical input into protocols and ethics committee submissions and you will contribute to the dissemination of research findings via peer reviewed publications and presentations at investigator meetings and national/international meetings
Minimum Requirements: You will hold a postgraduate degree in medical statistics or equivalent experience. You will have considerable experience of working as a statistician, including conducting consultations without further statistical support, designing clinical research, contributing to grant applications, active running of research, analysing data and paper writing for peer-reviewed journals. Proficiency in statistical programming, including at least one: Stata, SAS or R and demonstrable understanding of data protection and other statutory requirements and professional guidelines, such as ICH Good Clinical Practice guidelines are also essential
Preferred Requirements: Experience of working with junior statisticians as well as planning, teaching, facilitating and delivery of formal training in medical statistics are desirable

Deadline: November 27, 2017 | Published: November 9, 2017   10:59              

Department: Data Science
Duration: 3 y        Workload: 100%
Duties: The role focuses on assisting research groups to develop experimental designs suitable to address research questions and the provision of diverse biostatistical analyses to support cancer research across the ICR
Minimum Requirements: MSc in Medical Epidemiology or Biostatistics. Proven knowledge in computational biology and cancer genomics. Proven experience in biostatistics as applied to the analysis of large-scale biological data. Proven experience in the application of classical hypothesis testing, linear modelling for classification/regression, multivariate analysis and machine learning methods
Preferred Requirements: PhD in Cancer Biology, Biostatistics, Computer Science or associated subject

Published: November 9, 2017   10:59              

Department: Diabetes Research Centre
Duration: 2 y        Workload: 100%
Duties: An exciting opportunity has arisen to appoint a full-time Statistician/Epidemiologist to work at the Diabetes Research Centre. You will extract data and undertake epidemiological research of real-world data using established electronic health databases, including the Clinical Practice Research Datalink (CPRD). You will also support the day-to-day running and coordination of the ERICAS (cardiometabolic real-world evidence library) project, including quality assessment of observational studies, and contribute to the cardiometabolic real-world evidence portfolio
Minimum Requirements: Experience of working with large data sets. An understanding of approaches to analysing observational data. Good knowledge of statistical programming and data management (Stata/SAS/R/SQL). Relevant MSc or equivalent extensive research experience
Preferred Requirements: High level of proficiency in English, sufficient to undertake research, teaching and administrative activities utilising English Language materials and to communicate effectively with staff and students

Deadline: November 27, 2017 | Published: November 9, 2017   10:21              

Duration: 2 y        Workload: 100%
Duties: Applications are invited for a postdoctoral research assistant position in the Information Security Group (ISG) at Royal Holloway to work in the area of post-quantum cryptography. Post-Quantum (PQ) cryptography refers to cryptographic algorithms and schemes that are expected to be resistant to cryptanalytic attacks based on quantum computers. Examples include lattice-based encryption and signature schemes, code-based public-key cryptosystems, Multivariate Quadratic (MQ) cryptosystems, and hash-based digital signature schemes. The goal of this industry-funded two-year project is to investigate and propose novel methods and techniques for hardware implementation of popular and promising post-quantum cryptographic schemes
Minimum Requirements: We are looking for a candidate with a PhD degree in a relevant subject and strong background and experience in FPGA implementation, ideally of cryptographic algorithms

Deadline: December 10, 2017 | Published: November 9, 2017   09:49              

Duration: 3 y        Workload: 100%
Duties: We are seeking a Bioinformatician to join our lab. A Successful candidate will use metabolic modelling and multi-omics dataset analysis to evaluate the relationship between metabolism, genetic lesions and cellular composition in mouse models, patient cancer samples and ex vivo models derived from them
Minimum Requirements: PhD or equivalent in bioinformatics or computational biology or similar, or in the final stages of completion. Substantial experience in metabolic modelling and flux analysis. Experience in integrating multi-dimensional omics data. Good programming skills (e.g. Java, C++, perl), experience with R/BioConductor. Proven track-record of research (e.g. publication record). Ability to prioritise and manage own time
Preferred Requirements: Metabolic modelling and flux analysis for mammalian systems. Experience in building databases and bioinformatics pipelines. Wet-lab experience

Deadline: December 8, 2017 | Published: November 9, 2017   09:49              

Department: Division of Psychiatry / Faculty of Brain Sciences
Duration: 1, 5+ y        Workload: 100%
Duties: The study aims to use data from the Mental Health Minimum Data Set and Hospital Episodes Statistics to investigate ADUs and admission rates to acute psychiatric units. The candidate will join the UCL Division of Psychiatry, whose members have a very wide range of research and clinical interests
Minimum Requirements: Candidates are required to have a relevant first degree (2: 1 or above) and a Masters in epidemiology, statistics or related field, and preferably a PhD or equivalent experience. Previous experience in the field of epidemiology is desirable but not essential. Knowledge of statistics and experience of database development are essential. The post holder will have excellent analytical and communication skills, together with experience in the handling of large-scale sensitive data sets and of writing up and publishing research

Deadline: November 26, 2017 | Published: November 9, 2017   09:16              

Duration: 3 y        Workload: 100%
Duties: Make recommendations on data quality improvements to the technical team. Provide analytics on incoming content regarding the uptake and implementation of new publishing trends and standards e.g. data citation. Analysis on article content, combined with additional data such as ORCIDs, supporting datasets and so on. With our user research team, provide analytics and insights on user behaviour on the website. Outreach to aligned projects and resources in the scholarly communications ecosystem. Represent Europe PMC at workshops and meetings, as appropriate
Minimum Requirements: PhD or MSc/MA in information science, library science, computer science, text analytics, bioinformatics or similar experience from previous employment. Professional experience in scientific publishing, open science data management, library sciences, bibliometrics, or digital humanities. Technical ability e.g. Perl, R, python, advanced Excel, XML/XSLT manipulations. Domain knowledge of the publishing industry and related cutting edge developments. Curiosity-driven approach to analysis

Deadline: December 6, 2017 | Published: November 9, 2017   08:30              

Department: Nuffield Department of Medicine
Duration: until 31 May 2020        Workload: 100%
Duties: VALIDATE (“VAccine deveLopment for complex Intracellular neglecteD pAThogEns”) aims to bring together human and veterinary academics, industry partners, and governmental and non-governmental agencies around the world to accelerate progress towards developing vaccines. Our initial focus is on four poverty-related pathogens: Mycobacterium tuberculosis, which causes tuberculosis (TB), Mycobacterium leprae (leprosy), Leishmania spp, (leishmaniasis), and Burkholderia pseudomallei (melioidosis). You will be responsible for engaging directly with researchers to understand and analyse the data being generated within the Network
Minimum Requirements: You will possess a PhD in a biological field with modelling and/or bioinformatics experience; or in mathematics/epidemiology with experience in immunology and modelling. You will have postdoctoral experience. You must be proactive, have excellent communication skills, be a team-player, and be comfortable working closely with scientists and clinicians in diverse geographical locations who possess a wide range of skillsets and knowledge. It is expected that the work will involve a range of complex and original scientific work and requires a high degree of personal motivation

Deadline: December 4, 2017 | Published: November 9, 2017   08:30              

Department: Department of Automatic Control and Systems Engineering
Duration: 1 y        Workload: 100%
Duties: The post holder will work within a team seeking to develop sequential Monte Carlo methods and Bayesian compressed sensing methods for dealing with Big Data for metropolitan areas. This project will develop scalable approaches for fusing large volumes (petabytes) of high dimensionality, heterogeneous mobility data (for example from road traffic management systems, citizen sensors, vehicular sensors, cameras, meteorological sensors and pollution sensors, etc.)
Minimum Requirements: You will have (or be close to completing) a PhD degree in signal processing, electrical engineering, aerospace engineering, mathematics, statistics, physics, or a related area. Thorough knowledge of Monte Carlo estimation approaches and compressed sensing approaches for nonlinear systems and inference. A strong background in experimental research and evidence of software and hardware development skills. A track record in research peer reviewed publications in journals and/or conferences

Deadline: December 7, 2017 | Published: November 8, 2017   22:35              

Department: Breast Cancer Research
Duration: Until 31st July 2020        Workload: 100%
Duties: We are seeking an experienced Cancer Bioinformatician to join Breast Cancer Research Bioinformatics Group. Our goal is to perform cutting-edge bioinformatics analyses and data-mining in collaboration with experimental investigators at the centre identifying new molecular markers of breast cancer. Your work will focus on the development and validation of hypotheses, and implementation of stand-alone bioinformatics tools enabling discovery of molecular markers of breast cancer. The work will include application of existing tools and method development using in-house (as well as publicly available) next generation sequencing datasets such as Exome, Targeted and Whole genome sequencing and RNA sequencing datasets
Minimum Requirements: Applicants should hold a degree in a computational subject, have programming and scripting experience, and must have basic knowledge of biology. It is essential to hold a post-graduate qualification in bioinformatics/biostatistics/computational biology or have gained significant experience within bioinformatics/biostatistics role/s

Deadline: November 27, 2017 | Published: November 8, 2017   22:13              

Department: College of Life and Environmental Sciences, Environment and Sustainability Institute
Workload: 100%
Duties: The College wishes to recruit a Postdoctoral Research Fellow or Associate on a full-time (or part-time) basis for an exciting and challenging opportunity to join a team of researchers, that is contributing to the global eradication of Guinea worm, on a programme led by The Carter Center and World Health Organisation. The University is recruiting a team, comprising a research fellow/associate and two technicians, to conduct field and laboratory analyses on the epidemiology, ecology and control of Guinea worm infection in dogs in Africa
Minimum Requirements: Applicants will possess a relevant PhD (or nearing completion for appointments at Associate level) or equivalent qualification/experience in a relevant field of study. The successful applicant will be a nationally recognised authority in ecology, epidemiology or veterinary sciences and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies

Deadline: December 5, 2017 | Published: November 8, 2017   19:13              

Department: Diabetes Research Centre
Duration: 2 y        Workload: 100%
Duties: You extract data and undertake epidemiological research of real-world data using established electronic health databases, including the Clinical Practice Research Datalink (CPRD). You will also contribute to the cardiometabolic real-world evidence data portfolio
Minimum Requirements: Experience of working with large data sets. Good knowledge of statistical programming and data management (Stata/SAS/R/SQL). Relevant MSc or equivalent extensive research experience
Preferred Requirements: Experience/knowledge of contemporary research methods for real world evidence

Deadline: November 27, 2017 | Published: November 8, 2017   18:51              

Department: Psychology
Duration: 3 y        Workload: 100%
Duties: The researcher will conduct data analysis and produce publications on combined datasets of studies on the development after preterm birth. The focus will be on factors providing protection and increase resilience for preterm children’s life course outcomes
Minimum Requirements: Good honours degree in Psychology, Statistics, Epidemiology, Mathematics or related fields. Completed PhD working with empirical data or statistical modelling using advanced statistics (e.g. statistical epidemiology, psychology, social sciences or similar). Proven knowledge of use of advanced statistical methods and application in quantitative research. Evidence of quality research output from experienced candidates or strong research potential from less experienced candidates

Deadline: December 5, 2017 | Published: November 8, 2017   18:15              

Department: UCL Institute of Neurology
Workload: 100%
Duties: The Wellcome Trust Centre for Neuroimaging, part of the UCL Institute of Neurology, wish to appoint an academic professor to lead their Magnetoencephalography (MEG) programme. The post-holder is responsible for stimulating and coordinating MEG imaging research within the centre and across UCL and ensure the highest quality performance of the core MEG facility
Minimum Requirements: Applicants must have an International standing in MEG methods development, a strong statistical mathematical background, experience with cryogenic and non-cryogenic MEG measurement systems and in interest in developing clinical applications of MEG

Published: November 8, 2017   06:10              

Workload: 100%
Duties: As a Business graduate you’ll have the opportunity to work across Zurich, rotate around the business and challenge yourself across a variety of areas, learning about markets and products across the UK. We’ve designed this programme to build outstanding future talent for management and leadership roles and will give you unrivalled exposure to a whole range of business areas ensuring you build a strong understanding of our culture and how we serve our customers. You can expect to develop a broad range of skills and networks, overseeing projects that deliver value to our business and customers, and creating the commercial and technical know-how that will set you on course to be a future leader
Minimum Requirements: A 2: 1 degree (predicted or achieved) in any undergraduate discipline. At least 280 UCAS points (or equivalent) from 3 A-level subjects excluding general studies. A-C grade in Maths and English GCSE. The drive, determination and enthusiasm to make intelligent career choices. The ability to effectively rise to complex changes

Deadline: December 31, 2017 | Published: November 8, 2017   00:19              

Workload: 100%
Duties: As an Actuarial Intern, you’ll take on meaningful responsibilities right from the start and be supported by some of the most qualified actuaries and analysts in the industry. We’ll look to you to identify and quantify risk, and to make that happen, you’ll learn how to analyse data, assess risks and create models that will drive intelligent decision-making. You will also spend time with senior figures, who will help to advise and develop your understanding of practical actuarial solutions. And to ensure you have the best start, a dedicated buddy will be on-hand to support you throughout your summer with us. Our Actuarial internships are a 10-week programme; likely start will be mid-late June
Minimum Requirements: Be in your penultimate year of study towards a numerical undergraduate degree, and predicted minimum 2: 1 degree (or the equivalent). Minimum A-grade in Mathematics at A-level. At least 280 UCAS points (or the equivalent) from 3 A-level subjects excluding general studies. A-C grade in Maths and English GCSE. An analytical approach to work. A genuine desire to learn the skills you need to start a dynamic actuary career

Published: November 8, 2017   00:16              

Workload: 100%
Duties: As an Actuarial graduate you’ll play a pivotal role in our business working alongside some of the most qualified actuaries and analysts in the industry. You’ll have the opportunity to experience different areas of the business, learning how to analyse data, assess risks and create models that will drive intelligent decision-making. As well as spending time with senior figures that will help to advise and develop your career. It’s a three-year programme and you could be based out of a number of our UK offices. But no matter what office you’re in, you’ll get to learn from some of our most talented colleagues in the business, who will encourage and guide you to be your best
Minimum Requirements: A minimum 2: 1 degree (predicted or achieved) in a numerical undergraduate discipline. At least 280 UCAS points (or equivalent) from 3 A-level subjects excluding general studies, including minimum A-grade in Mathematics A-Level. A-C grade in Maths and English GCSE. An analytical approach to work. The personal drive to further your education with professional qualifications

Published: November 8, 2017   00:16              

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: November 8, 2017   00:10              

Department: School of Mathematics
Duration: 2 y        Workload: 100%
Duties: This is funded by the EPSRC grant “Between rational and integral points”, which considers connections between analytic number theory and the study of rational and integral points on algebraic varieties
Minimum Requirements: You should have or expect to hold shortly a PhD in Mathematics or equivalent qualification, with a suitable background in analytic number theory, arithmetic statistics or rational points

Deadline: December 4, 2017 | Published: November 7, 2017   21:28              

Department: Psychiatry
Duration: 2 y        Workload: 100%
Duties: Applications are invited for a postdoctoral scientist to work on a Wellcome Trust funded project to advance understanding of spontaneous whole-brain activity and provide new insights into the underlying mechanisms. This research will be based at the Oxford Centre for Human Brain Activity, at the Warneford Hospital. You will work on computational biophysical model development, for describing large-scale networks in functional neuroimaging data. The biophysical models will simulate spontaneous brain activity using dynamic models of neuronal populations, and will be related to real neuroimaging (fMRI, M/EEG, LFP) data using machine learning methods designed to characterise fast transient brain states
Minimum Requirements: You will have or be close to completion of a PhD in computational neuroscience, mathematical engineering or a relevant technical area. Strong experience in software engineering (MATLAB, Python and C++) are essential
Preferred Requirements: A demonstrable interest in the relevant machine learning methods or computational neuroscience would be desirable

Deadline: December 8, 2017 | Published: November 7, 2017   21:26              

Department: Big Data Institute
Duration: 2 y        Workload: 100%
Duties: You will contribute to our mission of mapping global burdens of Plasmodium falciparum and Plasmodium vivax malarias. The role will involve the development and application of cutting edge geospatial approaches to modelling across a wide range of epidemiological settings. You will work collaboratively with other scientists within the wider MAP group to develop statistical methods to produce global estimates of the burden of malaria. You will contribute to and, as appropriate, lead in the preparation of scientific reports and journal articles for publication of research findings from this work in open access journals
Minimum Requirements: You will have a PhD (or have recently submitted) or have equivalent experience in mathematics, statistics, or a similar quantitative discipline. An understanding of spatiotemporal modelling and expertise in geostatistics, random-field models, or equivalent are essential
Preferred Requirements: An understanding of the epidemiology a vector-borne disease such as malaria is desirable but not essential

Deadline: December 6, 2017 | Published: November 7, 2017   21:23              

Department: Big Data Institute
Duration: until 31 December 2020        Workload: 100%
Duties: We are seeking to appoint a Biostatistician in Cancer Genomics with interests in the fields of cancer genomics and bioinformatics. The role will involve the development of computational models, the statistical analysis of data and the scientific interpretation of data, as a member of a multi-disciplinary team. In addition you will develop the group’s research in the area of cancer evolution and heterogeneityю
Minimum Requirements: You will have extensive experience in the analysis of cancer genomics or other ‘big data’. You will have completed or be near to completion of a PhD in a relevant subject and have a strong background in quantitative analysis, together with general bioinformatic and statistical modelling and analysis skills. You will have highly developed mathematical problem solving and reasoning skills

Deadline: December 6, 2017 | Published: November 7, 2017   17:40              

Department: Big Data Institute
Duration: 2 y        Workload: 100%
Duties: We are seeking to appoint one or two Postdoctoral Research Scientists in Epidemiology to contribute The Malaria Atlas Project (MAP). The roles will involve contributing to the development and application of cutting edge geospatial approaches to modelling across a wide range of epidemiological settings. You will work collaboratively with other scientists within the wider MAP group to develop statistical methods to produce global estimates of the burden of malaria. You will contribute to and, as appropriate, lead in the preparation of scientific reports and journal articles for publication of research findings from this work in open access journals
Minimum Requirements: You will have a PhD (or have recently submitted) in epidemiology, mathematics, statistics, or equivalent quantitative discipline. An understanding of the epidemiology of malaria is essential
Preferred Requirements: An understanding of spatiotemporal modelling, geostatistics, random-field models, or equivalent are highly desirable but not essential

Deadline: December 6, 2017 | Published: November 7, 2017   17:40              

Department: Epidemiology & Population Health
Duration: 1 + y        Workload: 100%
Duties: The Clinical Trials Unit (CTU) wishes to appoint a statistician, mainly to work on the statistical analysis of results from major clinical trials. Much of this research relates to time critical interventions for emergency care. The successful candidate will be required to undertake a programme of biostatistical research, focused on clinical trials, as well as providing statistical expertise for the trials conducted in the CTU. In addition, there will be the opportunity to collaborate in methodological research and study design, as well as managing small grants. Teaching of postgraduate students would also be expected
Minimum Requirements: The successful applicant requires an aptitude for both applied and methodological research, good communication skills and statistical computing experience, particularly in SPSS, SAS or STATA. The successful candidate will also be able to write up and clearly present research results and be meticulous in all aspects of their work, taking initiative where appropriate
Preferred Requirements: An MSc in statistics or equivalent is essential and past experience of clinical trials and/or epidemiological research is desirable

Deadline: November 21, 2017 | Published: November 6, 2017   19:55              

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