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Department: Life Sciences
Duration: until 31 March 2020        Workload: 100%
Duties: We are recruiting a Bioinformatician with excellent communication skills to work on banana and enset (Ensete ventricosum; an orphan crop related to banana from Ethiopia) genomics. This position is jointly funded through Royal Society UK Global Challenges Research Fund Newton funds and seeks to (i) use comparative genomics to look for disease resistance, and other important agronomic traits in banana and enset, (ii) compare the evolution enset and banana genomes and (iv) undertake whole genome sequencing of banana pathogens
Minimum Requirements: We seek applicants with a PhD which involved a large component of bioinformatics or genomics/population genetics. A good understanding of comparative genomics and experience of analysing Next-Gen sequence data (primarily short read data) is essential, and ideally the candidate will have a biology background
Preferred Requirements: Some experience in programming in R, Perl/Python, or C/C++ is desirable, as is previous experience in undertaking collaborative projects or genotyping by sequencing studies

Deadline: May 17, 2018 | Published: April 23, 2018   15:03              

Duration: 10 w        Workload: 100%
Duties: We have an exciting opportunity for an undergraduate student to work with our Earth Observation, Climate System group. The objective is to develop an approach that delivers reflectance from hyperspectral drone data that does not require the use of reference sheets. Optical remote sensing collects and analyses the solar radiance (electromagnetic radiation) that is reflected from the Earth’s surface to evaluate the status of the land surface or its vegetation. Reflected radiances (i.e. radiance) vary with solar illumination conditions (i.e. irradiance) and the optimal method to account for changes in irradiance during data acquisition, is by calculating and using the relative proportion of irradiance that is reflected
Minimum Requirements: We are looking for a student who is studying for a physics degree and who has a good mathematical background. An aptitude and interest in coding is essential

Deadline: May 15, 2018 | Published: April 23, 2018   15:02              

Department: Population Health
Duration: 1 + y        Workload: 100%
Duties: The post-holder will work collaboratively with an inter-disciplinary research team at LSHTM and partners in Kenya, South Africa and Zimbabwe, to contribute to the impact and causal pathway analyses of data generated from studies designed to evaluate the impact of ‘DREAMS’. DREAMS is an investment by PEPFAR and private-sector partners to reduce HIV incidence among adolescent girls and young women (AGYW) in high-burden districts in east and southern Africa
Minimum Requirements: Applicants must have an MSc in Medical Statistics with experience of working as a medical statistician, including analysis of large, longitudinal datasets, and ability to deliver training on data analysis. The successful candidate will have a relevant publication record, and expertise in data management for epidemiological studies
Preferred Requirements: A good understanding of HIV surveillance systems and research cohort studies in developing countries, and experience of working as a statistician in sub-Saharan Africa would be an advantage

Deadline: May 18, 2018 | Published: April 23, 2018   14:42              

Department: Mechanical Engineering
Duration: 3 y        Workload: 100%
Duties: Across all modes of transport, the twin challenges of climate change and decreasing fossil fuel reserves has resulted in a concerted effort to find alternatives to traditional internal combustion engine technology. The aerospace sector faces greater challenges than others in moving towards low carbon propulsion, due to the larger distances that must be covered between refuelling opportunities, and the fact that battery technology has not yet developed significantly enough to address the challenges of long range travel. Our goal is to make the dream of all-electric flight a reality. You will work in our team in order to develop concepts for data analysis of large scale vibration sensor networks
Minimum Requirements: You must have, or be close to completing, a PhD in an area pertinent to the project e.g. Engineering, Mathematics or Physics. You should also have an Undergraduate degree in a related subject. You will need to have a good understanding of dynamic and vibration analysis
Preferred Requirements: A background knowledge in machine learning would be considered an advantage

Deadline: May 22, 2018 | Published: April 23, 2018   14:36              

Workload: 100%
Duties: This role will performs trainee actuarial responsibilities while in pursuit of an actuarial qualification. Provide basic actuarial services in order to fulfil routine business requirements. Monitor and analyse data according to tools, methods and formats and recommend appropriate action to mitigate risk and optimize business benefits. Perform more complex analyses as assigned. Compile and categorize increasingly complex data, documents and verify factors and assumptions used in computations to ensure robust output. Assist in the development of risk based capital models as well as parameterization and allocation activities to support actuarial services
Minimum Requirements: Bachelor’s degree (or equivalent) in Computer Science, Economics, Engineering, Finance, Mathematics/Statistics, Other, Sciences. Good communication and interpersonal skills to be able to effectively interact and negotiate at all levels. Have business acumen with knowledge of the insurance industry. Have a good knowledge of actuarial professional guidance and relevant legislation. Good knowledge of Insurance finance and corresponding actuarial concepts
Preferred Requirements: Experience in multiple functional areas (pricing, reserving, capital management, etc.) preferred

Published: April 23, 2018   00:25              

Workload: 100%
Duties: This role will performs trainee actuarial responsibilities while in pursuit of an actuarial qualification. Provide basic actuarial services in order to fulfil routine business requirements. Monitor and analyse data according to tools, methods and formats and recommend appropriate action to mitigate risk and optimize business benefits. Perform more complex analyses as assigned. Compile and categorize increasingly complex data, documents and verify factors and assumptions used in computations to ensure robust output. Assist in the development of risk based capital models as well as parameterization and allocation activities to support actuarial services
Minimum Requirements: Bachelor’s degree (or equivalent) in Computer Science, Economics, Engineering, Finance, Mathematics/Statistics, Other, Sciences. Good communication and interpersonal skills to be able to effectively interact and negotiate at all levels. Have business acumen with knowledge of the insurance industry. Have a good knowledge of actuarial professional guidance and relevant legislation. Good knowledge of Insurance finance and corresponding actuarial concepts. Good knowledge of pricing, statistics and actuarial modelling
Preferred Requirements: Experience in multiple functional areas (pricing, reserving, capital management, etc.) preferred

Published: April 23, 2018   00:24              

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

Published: April 23, 2018   00:24              

Duration: 10 m        Workload: 100%
Duties: The successful candidate will derive a series of predictive mathematical theories based on a blend of asymptotic and computational techniques to understand the role of compression and flexibility in filtration scenarios. The models will provide a theoretical underpinning for experimental observations. They will also be given the opportunity to undertake teaching which will not exceed 3 hours per week for 24 weeks per annum
Minimum Requirements: The successful candidate will have, or be close to completing, a PhD in mathematics or a mathematics-related subject. The candidate should also have knowledge of partial differential equations (PDEs) and scientific computing, and the ability to work independently and to pursue research as part of an interdisciplinary team

Deadline: May 16, 2018 | Published: April 21, 2018   13:46              

Department: Nuffield Department of Medicine (NDM)
Workload: 100%
Duties: We are looking for a Bioinformatician with research interests in statistical and computational methods for the analysis of genome-scale data to participate in a collaborative research program relating to cancer genomics. Participate in a collaborative research programme by identifying, defining and planning projects that will have relevance within the research at the BDI, the LICR, and the computational statistics and machine learning group in Statistics. Maintain, employ and implement a thorough knowledge of an area of expertise relevant to the centre and an awareness of the latest technology and analytical methods in the field. You will develop novel statistical methodologies to learn about biological processes
Minimum Requirements: You will have extensive experience in the analysis of cancer genomics data and research interests in developing advanced statistical methodology to learn about biological processes relating to cancer origin, evolution and response to treatment. You will be educated to PhD level (or equivalent) in a quantitative science with research experience in academia or industry
Preferred Requirements: Interest in and experience of using scalable statistical and probabilistic machine learning approaches to analyse and integrate data from other modalities, such as gene expression, proteomics and imaging would be an advantage

Deadline: May 14, 2018 | Published: April 21, 2018   13:40              

Department: Biology, Medicine & Health
Duration: 2, 5 y        Workload: 100%
Duties: The project’s long-term goal is to investigate the use of phage therapy to control immune dysregulation associated with respiratory disease. Your role will be to analyse longitudinally sampled microbial metagenomes from respiratory samples, implement appropriate bioinformatics protocols for their analysis, compare microbial diversity between samples, clinical groups and time points, and to construct co-occurrence microbial networks with the purpose of informing dynamic models of the microbiome
Minimum Requirements: Candidates with a background in bioinformatics, computational biology and metagenomics are encouraged to apply
Preferred Requirements: Experience of ecological interaction networks, time series data, statistics and machine learning will be an advantage

Deadline: May 19, 2018 | Published: April 21, 2018   12:14              

Department: Department of Psychology
Duration: 2 y        Workload: 100%
Duties: Applications are invited for an experienced and enthusiastic cognitive neuroscientist with strong computational skills to work on an ERC Advanced Investigator grant on the neurobiology of language comprehension using MEG neuroimaging and fMRI data-sets. Develop new methods for analysis for statistical language modelling. Work closely with members of the team to develop and carry out and analyse MEG/EEG experiments. Write up and publish the results of original research in peer-reviewed, high-impact journals of national/international standing. Communicate findings to colleagues at national/international conferences. Continually update knowledge and understanding in cognitive neuroscience and language modelling
Minimum Requirements: Applicants must have a PhD in cognitive neuroscience, computer science, or a related discipline. They are expected to have knowledge of the neurobiology of language processing, advanced statistical skills and excellent computer programming (especially MATLAB and/or Python) skills
Preferred Requirements: Experience of MEG analyses, particularly in using multivariate neuroimaging methods for MEG data and MEG source localization methods, are highly desirable. Relevant post-doctoral experience is also desirable

Deadline: May 14, 2018 | Published: April 21, 2018   12:12              

Department: School of Mathematical Sciences
Workload: 100%
Duties: Applications are invited for a Lecturer or Senior Lecturer in Actuarial Science to lead on the delivery and the ongoing development of the actuarial undergraduate and postgraduate programmes. The successful candidate will be a Fellow or Associate of the Institute and Faculty of Actuaries (IFoA) and have industrial and/or teaching experience relevant to actuarial science. They will be expected to develop links with industry to foster knowledge exchange between university and industry, including work experience opportunities for students as well as the role holder’s own professional development. With the agreement of the Head of School, the role holder may undertake external consulting
Minimum Requirements: The successful candidate will have teaching experience appropriate to the level of appointment. At Senior Lecturer level they will be a Fellow of the IFoA, and have substantial experience of leading on the delivery and development of taught programmes as well as some relevant industrial experience. At Lecturer level they will have the knowledge and ability to teach across a range of topics in actuarial science, including core technical subjects (CT1-8)

Deadline: May 31, 2018 | Published: April 20, 2018   15:58              

Duration: 4 y tenure-track
Duties: We are currently welcoming applications from research leaders in these and related fields who can offer potential for further interdisciplinary research. We are also seeking to appoint up to 5 Lyell Research Fellows to join the Lyell Centre. The Fellowships will provide a unique opportunity for early career independent researchers with high potential. We are seeking applications from individuals who have begun to establish a reputation for their research in either Applied Geoscience or Ecosystems Science. Successful applicants will join a vibrant research environment, with emerging clusters of excellence at the interface between Terrestrial and Marine Biogeochemistry/Microbiology, Marine and Terrestrial Ecosystems, and Geo-Energy
Minimum Requirements: The successful candidate(s) will have a strong academic track record with evidence of initial research leadership, international standing, and an expressed strategy of how to develop the respective field or research. It is anticipated that appointment(s) will actively complement existing and create new synergies with teams at the Lyell Centre, the Institute of Life and Earth Sciences (ILES), the Institute of Petroleum Engineering (IPE) and the British Geological Survey. Contribution to teaching and supervision of students is expected

Deadline: May 26, 2018 | Published: April 19, 2018   06:27              

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

Deadline: May 18, 2018 | Published: April 18, 2018   17:05              

Department: Vector Biology
Duration: 3.5 y        Workload: 100%
Duties: The Faculty of Biological Science is seeking an experienced bioinformatician to strengthen our clinical and biological sciences research and our teaching agenda. A key cross-cutting theme of LSTM is the genomic analysis of resistance: in vector, parasite and bacterial evolution. The appointee would be required to apply and develop analytical approaches to interrogate genomic data from across the spectrum of disease-relevant tax to identify resistance-associated strains and variants. There will be extensive opportunities to collaborate with a multidisciplinary faculty of epidemiologists, modellers, bioinformaticians and molecular biologists working on a range of real world problems
Minimum Requirements: Applicants can be either clinical or non-clinical, and will have a postgraduate qualification in genomics/biostatistics/statistical genetics and/or relevant experience in bioinformatics research

Deadline: May 17, 2018 | Published: April 18, 2018   13:38              

Department: Centre for Ecology & Hydrology
Workload: 100%
Duties: The project will explore the resilience of UK agriculture to extreme flooding events. For this work we follow the response in plant productivity, microbial community assembly and greenhouse gas exchange after extreme flooding of grassland and arable crop experimental systems. The project will run for 8-10 weeks during the summer and has a flexible start date from the end of May to July. Ideally we would like applicants to start early during this window. The placement will provide broad experience in plant-soil interaction research with specific opportunities to gain expertise in greenhouse gas measurement, stable isotopes, the operation of analytical instrumentation, the use of soil sensors and data handling and interpretation
Minimum Requirements: Applicants should: be studying for an undergraduate degree in a quantitative discipline outside of NERC’s scientific remit (e.g. mathematics, statistics, computing, engineering, physics students would be welcome to apply); be applying for a placement in a different department to their undergraduate degree; be undertaking their first undergraduate degree studies (or integrated Masters); be expected to obtain a first or upper second class UK honours degree; be eligible for subsequent NERC PhD funding (i.e. UK, EU or right to remain in the UK)

Published: April 17, 2018   01:44              

Department: School of Science
Duration: 2 y
Duties: This is a rare opportunity at such an early career stage to gain a prestigious 2-year Fellowship to pursue your own ambitious research idea and develop your skills as an independent researcher, with the support of a Loughborough University academic sponsor. During the Fellowship you will be expected to prepare and submit for an appropriate externally-funded Research Fellowship to advance your research plans further
Minimum Requirements: You must have passed your PhD examination, including completion of any corrections to the satisfaction of your examiners, by the time your Doctoral Prize Fellowship begins. You must also be within two years of your PhD examination on the closing date for applications

Deadline: May 10, 2018 | Published: April 16, 2018   15:19              

Department: Department of Primary Care and Public Health Sciences
Workload: 100%
Duties: This role will focus heavily on data analysis and interpretation for reports and peer reviewed publications, in collaboration with the stroke programme team. It will therefore require exceptional mathematical and programming ability as well as experience in using statistical software and writing scientific reports or publications

Deadline: April 27, 2018 | Published: April 16, 2018   14:54              

Department: Physics and Astronomy
Workload: 100%
Duties: The main purpose of the role is to undertake research with emphasis in cosmology, contributing to the development and testing of algorithms and simulations required in preparation for the analysis of data from the forthcoming ESA Euclid space mission. The role will have particular focus on the development and testing of algorithms for cosmological measurements of weak gravitational lensing and the development and implementation of validation tests for Euclid weak gravitational lensing data products
Minimum Requirements: The successful applicant will have a PhD in areas related to cosmology, data analysis techniques, statistical methods, or scientific computing and will be able to analyse and present complex information effectively to a range of audiences

Deadline: May 13, 2018 | Published: April 15, 2018   21:29              

Department: Department of Social Science
Duration: Until 31/12/2019        Workload: 100%
Duties: We are seeking to appoint a quantitative researcher to work on two complementary research projects involving cross-cohort research of public health significance. The post-holder will contribute to two externally funded projects which both aim to investigate socioeconomic differentials in health and health-related behaviours. The first is a CLOSER (Cohort & Longitudinal Studies Enhancement Resources) work package on socioeconomic differentials in physical activity across life. The second project, funded by the Academy of Medical Sciences, aims to conduct cross-cohort research to examine how health inequalities have changed across time in the UK, building on existing work
Minimum Requirements: The post holder will have a PhD or equivalent experience in a relevant discipline such as epidemiology, statistics or quantitative social science and will have experience of handling complex and large-scale data set. Excellent IT skills, including the ability to use bibliographic software such as EndNote and relevant statisitical packages (e.g. STATA) is essential

Deadline: April 26, 2018 | Published: April 15, 2018   21:22              

Department: Planning
Workload: 100%
Duties: We are looking for a Data & Insight Analyst who will be responsible for contributing to provision of a high-quality data and insight service to inform UCL decision-makers and stakeholders. The Data & Insight Analyst will combine an understanding of data management, analysis and visualisation with a drive to help embed a data insight-drive culture at UCL, and the ability to communicate clearly and effectively to a diverse set of internal customers
Minimum Requirements: The successful candidate should be educated to degree level or have equivalent experience, and should have a highly-developed understanding of data and analysis of large, complex datasets, as well as the ability to interpret data and present conclusions in engaging and intuitive ways. The successful candidate should have recent experience of developing MI tools using leading visualisation technologies (such as Tableau, Qlik or Power BI), and knowledge of statistics

Deadline: May 6, 2018 | Published: April 15, 2018   21:14              

Department: Institute of Health Informatics
Duration: Until 28 February 2021        Workload: 100%
Duties: The post holder will be expected to plan, execute and communicate in a timely fashion analyses on patients with HF, AF ACS (or a combinations of these syndromes) in some or all of the following areas: phenomenological data driven phenotypes; mechanism based phenotypes, using information from genome wide association studies. Longitudinal disease trajectories. A variety of techniques including classical epidemiology, informatics approaches and machine learning will be used to particularly investigate the overlap between these three disease syndromes
Minimum Requirements: PhD in computer science, machine learning or bioinformatics (or related discipline) or a similar level of experience

Deadline: May 17, 2018 | Published: April 15, 2018   21:11              

Duration: 1 y        Workload: 100%
Duties: The post holder will develop new methods for quantifying behaviour to improve the power of genome wide association studies for behaviour and to predict the mechanism of action of new neuro-active drugs. Plan and carry out research in accordance with the project aims. Write clear well-commented code and contribute to shared repositories on GitHub. Attend project and related research group meetings. Interact and collaborate with group members. Publish results in peer-reviewed journals. Form good working relationships with other members of the group as well as internal and external collaborators
Minimum Requirements: Master’s degree (or equivalent experience) in physical sciences, engineering, mathematics, computer science, or similar
Preferred Requirements: Training in machine learning including deep learning. Training in good programming practices. Expertise in Python. Expertise in deep learning software (e.g. Tensorflow or PyTorch). Training in machine learning including deep learning. Training in good programming practices

Deadline: May 3, 2018 | Published: April 15, 2018   18:34              

Workload: 100%
Duties: To create and disseminate knowledge through initiating and conducting original research and participation in multidisciplinary collaborative research, through publication and through developing and delivering undergraduate, postgraduate (particularly MPH) and CPD programmes in Medical Statistics. In addition, contributing to the Biostatistics, Test Evaluation and Evidence Synthesis Research group and the Institute of Applied Health Research through management/leadership, and other activities, as appropriate
Minimum Requirements: A higher degree in statistics or a closely related discipline. Extensive research/teaching experience and scholarship within medical statistics. Proven ability to devise, advise on and manage learning/research. Skills in managing, motivating and mentoring others successfully at all levels. 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. Extensive experience of applying and/or developing and devising successful models, techniques and methods. Experience and achievement in knowledge transfer, enterprise and similar activity

Deadline: May 15, 2018 | Published: April 15, 2018   11:04              

Department: Molecular and Clinical Cancer Medicine
Workload: 100%
Duties: You will support the clinical trials and other projects undertaken within the LCTU and under the guidance of the senior statisticians, will collaborate with senior researchers in planning new projects including grant applications and trial protocols. Provision of statistical advice and statistical analyses of trial data for investigators in compliance with legislative frameworks in the LCTU. To collaborate, under the guidance of senior statisticians, on developing trial grant applications and the development of trial protocols, particularly to Cancer Research UK, Leukaemia Research Fund and the National Institute for Health Research and the development of trial protocols
Minimum Requirements: You should have Degree in statistics, medical statistics or equivalent qualification or relevant professional experience. You must be able to work independently as well as part of a team, and have effective interpersonal skills

Deadline: May 7, 2018 | Published: April 15, 2018   10:43              

Department: School of Physiology, Pharmacology & Neuroscience
Workload: 60%
Duties: This post will support colleagues with experimental design and statistics associated with fundamental biology research and pre-clinical studies, particularly in relation to preparing grant applications. The post holder will provide expert advice on appropriate statistical methods for a diverse range of experimental approaches. These may include studies involving isolated cells, whole animal experiments or studies involving computational methods. They will need to have previous experience of developing research protocols to address specific hypotheses
Minimum Requirements: Knowledge and experience in the design of biomedical science studies. Proven experience of use of statistical software packages (e.g. R, SPSS, STATA, SAS). Understanding of the theoretical bases of fundamental biology and pre-clinical research projects and their design and analysis. Evidence of previous contribution to the development and writing of grant applications. Experience of providing peer-review of manuscripts and/or grant applications. Interest in biomedical research
Preferred Requirements: Expertise in use of Access, Excel and Graphpad Prism. Evidence that statistical skills are kept current and that selected methodologies are appropriate to the topic area and research questions. Experience of managing research resources appropriately. Track record of co-authoring publications in biomedical research

Deadline: May 13, 2018 | Published: April 15, 2018   10:35              

Department: Department of Mathematical Sciences
Duration: 3 y        Workload: 100%
Duties: To engage in individual and/or collaborative research activity resulting in internationally excellent publications that is in keeping with REF criteria. To contribute to applications for external research funding appropriate in scale to career stage and subject area norms. To enhance the scholarly reputation of the Department and the University by contact with the wider academic community and supporting knowledge exchange activity. To undertake leadership duties related to education appropriate to career stage and as allocated by the HoD. To contribute expertise and knowledge to departmental and/or institutional initiatives as directed by their Head of Department
Minimum Requirements: The successful candidate will either hold, or soon expect to hold, a PhD in algebra or a related area, and hold an undergraduate degree in Mathematics or a closely related area. They will have a track record of research in group theory or a related area and ideally will have some experience of using computer algebra software and experience of presenting research findings at conferences and seminars

Deadline: April 29, 2018 | Published: April 15, 2018   00:04              

Department: Blizard Institute
Duration: 3 y        Workload: 100%
Duties: To develop an independent programme of high-level academic research focussed on the study of hepatitis B virus. To contribute to the publication of high impact independent research in hepatitis B viral genomics. To develop a research portfolio as a basis for an application for a fellowship to progress to an established non-clinical lecturer. To assist with teaching of undergraduate and graduate students in the School of Medicine, as agreed with the Centre Lead and Director of Institute. The principal duty of the post will be to undertake research in hepatitis B virus (HBV) with a view to developing a research programme studying the virus at the site of infection in tandem with the peripheral compartment
Minimum Requirements: PhD or equivalent (or imminent expected submission). Undergraduate degree in relevant subject or equivalent experience. Basic research experience in hepatitis B virology, viral genomics, the ability to work with and study human liver tissue, sequencing of HBV using Sanger and next generation sequencing, molecular biology assays using RT and Digital PCR. Experience of scientific data handling and data analysis. Knowledge of the Centre hosting the research and how this is best placed to support the research, education and training needs
Preferred Requirements: Publication record. Experience in undergraduate and postgraduate education

Deadline: April 29, 2018 | Published: April 14, 2018   22:51              

Department: School of Electronic Engineering & Computer Science
Workload: 100%
Duties: The aim of the project is to make significant progress on two fronts by developing novel rapidly adaptive algorithms that can be used as the basis for statistical simulation-based AI controllers, and also be used to search game design spaces for novel and interesting games. A particular focus of the work will be on general approaches to designing and playing real-time strategy games using methods related to combinatorial multi-armed bandits. The project may also involve working with visiting researchers, and visiting other institutions involved in Game AI. In addition, the successful candidate will be expected to assist with supervising PhD students
Minimum Requirements: Candidates will need to have a relevant PhD in Computer Science (or equivalent academic or industrial experience) or related discipline, and a track record that includes publications in Artificial Intelligence applied to Games. Candidates should have a background in designing AI for games (video games and/or board games) automatic game tuning. It is essential that the candidate has the ability to work effectively in teams to undertake collaborative research and co-author high quality publications

Deadline: May 11, 2018 | Published: April 14, 2018   22:46              

Department: Electrical & Electronic Engineering
Duration: 1 y        Workload: 100%
Duties: Applications are invited for a Research Associate in Proton Radiotherapy Imaging to work full-time on an EPSRC funded project “Novel image reconstruction techniques with application to proton radiotherapy for optimisation of cancer treatment”
Minimum Requirements: The successful applicant is expected to have a PhD in physics, electronic engineering, computer science or a related subject, and should be able to demonstrate excellent mathematical, analytic, and programming skills
Preferred Requirements: Research experience in one or more of the following is desirable: Monte Carlo simulations, proton Computed Tomography, and/or image reconstruction. Experience in programming in C++ and Python will be an advantage, as will academic publications in a relevant area

Deadline: May 10, 2018 | Published: April 14, 2018   22:12              

Duration: 1 y        Workload: 100%
Duties: The role holder will work independently and as part of a multi-disciplinary team, to perform self-directed analyses using in house and publicly available datasets for high impact, peer-reviewed publications. Applicants should be knowledgeable and enthusiastic with the ability to multi-task and communicate effectively. Core tasks will include data analysis and management of next generation sequencing data from neurodegenerative disease studies generated in house and with collaborators. Collaborative working is a key component of this role meaning that communication skills will be vital, in order to build links and cultivate international collaborations with a number of academic institutions
Minimum Requirements: The successful applicant will have a background in statistical genetics, biostatistics or statistics, with proven experience of extensive large-scale data analyses and manipulation, including analysis of next generation sequencing datasets. Expert knowledge of data manipulation in a UNIX/Linux environment and proficiency in high level programming languages such as Perl, Python, or C++ is essential. Knowledge of database technologies and SQL will be required. Knowledge of techniques used in genetics and epidemiology, as well as experience in using software used for the analysis of genomic data such as PLINK, is desirable
Preferred Requirements: Knowledge of techniques used in statistical genetics, as well as experience in using relevant software such as PLINK. Evidence of collaborations with industry. Proven ability to adapt to the changing requirements of the Higher Education/Research community

Deadline: April 29, 2018 | Published: April 14, 2018   21:34              

Duration: 2 y        Workload: 100%
Duties: Working as part of a team on projects for NICE, you will: critically review evidence and decision models; explore alternative scenarios and uncertainties; write reports and interact with NICE staff, committees and other stakeholders. You will also contribute to/lead research projects: helping to prepare proposals; collating evidence; analysing data; building models; and sharing and discussing findings. You will be encouraged and supported to extend your knowledge and skills of relevant methods, to develop your own area of research interest, to publish high quality research reports and papers and to present at local, national and international conferences and meetings
Minimum Requirements: You will have a PhD or equivalent professional qualifications and experience in health economics, medical statistics or operational research, with skills in applied decision analysis and economic evaluation, and knowledge of methods of heath technology assessment. In addition to technical knowledge and skills, you will be a good writer, work effectively in a team and communicate well

Deadline: May 11, 2018 | Published: April 14, 2018   21:25              

Department: Department of Oncology
Workload: 100%
Duties: The goal of this project is to use approaches from statistical physics to understand the evolutionary dynamics of pre-cancerous clones and whether these can be used to predict cancer risk, with a focus on acute myeloid leukaemia ("AML"). This raises several quantitative questions: How is it possible for a single cell to acquire the full complement of 5-10 mutations necessary to generate a leukaemia, when both the mutation rate and cell division rate in HSCs is so low? Back of the envelope estimates and recent sequencing data suggest that intermediate clones have a fitness advantage over healthy cells: what level of selection is necessary to explain age incidence curves and clone frequency distributions observed in data?
Minimum Requirements: Candidates should have a PhD (or equivalent) in a relevant sublject such as physics or quantitative biology an excellent research record and an interest in biological problems
Preferred Requirements: They should be proficient with at least one of: Python, R, Matlab, C++, Fortran. Experience with genomic datasets is a plus, but not essential

Deadline: May 13, 2018 | Published: April 14, 2018   20:41              

Department: Polar Data Centre
Workload: 100%
Duties: This data manager will be responsible for the management the Polar Data Centre's diverse range of geophysical data including multi and single-beam bathymetry, seismic, magnetic, gravity and radar data. Manage marine, terrestrial and aero geophysical data. Tasks within this duty include data planning, acquisition, processing, archiving, analysis and dissemination. Datasets include multi and single-beam bathymetry, seismic, magnetic, gravity and radar data. Act as the lead data manager for the Geology and Geophysics and the Palaeo Environments, Ice Sheets and Climate Change science teams within BAS. Ensure all relevant projects have an active data management plan and support and advise scientists on data management activities
Minimum Requirements: The successful candidate will have experience of data management, ideally in a geophysics related context. You will need a good range of general IT skills such as Unix/Linux experience, programming skills and database design. In addition, you will have experience using a variety of relevant software packages for managing/processing data, Geographic Information Systems or web application development. Degree or higher in a geoscience or data management subject area

Deadline: May 13, 2018 | Published: April 13, 2018   17:10              

Department: Institute of Neurology
Duration: 3, 5+ y        Workload: 100%
Duties: The post holder will also be responsible for leading new developments and disseminating research outputs through SPM software and educational events, and will act as an SPM ambassador within the neuroimaging community and with industrial partners. As a senior member of research staff, the post holder will also assist the Centre Director, Executive Committee, and Senior Management Team, and will work jointly with the Public Engagement Officer, in the delivery of strategic objectives
Minimum Requirements: Applicants must have a PhD in a relevant scientific discipline, substantial postdoctoral experience, and strong statistical, mathematical and computational skills, including Bayesian inference, signal and image processing; expert knowledge of the SPM software, its use and its architecture is essential. A strong publication record of publishing high quality research results, strong programming skills, in particular with MATLAB, a proven contribution to Open Source software and/or large scale computing projects, proven experience in teaching, and excellent oral and written communication skills, and good inter-personal skills, are also required. Achievement of recognition for quality of research by national and/or international awarding bodies is desirable

Deadline: April 26, 2018 | Published: April 13, 2018   06:58              

Department: Institute for Global Health
Duration: 3, 5 y        Workload: 100%
Duties: The aim is to develop critical evidence on how to achieve the far-reaching transformation of cities needed to address environmental imperatives for population and planetary health in the 21st century. The programme will use cutting-edge science and systems-based participatory methods to articulate visions of development, help shape policy decisions, and accelerate the implementation of transformational changes for health and sustainability in low-, middle- and high-income settings. More details of the programme will be provided to shortlisted applicants. The post holder will be responsible for facilitating and evaluating the public engagement dimensions of the multidisciplinary programme
Minimum Requirements: The successful applicant will have a PhD (or equivalent) with experience in a discipline relevant to urban health or public engagement with science. The post holder will be an enthusiastic, efficient, and responsive individual who has experience of establishing collaborative links in multi-disciplinary and multi-centre projects. Applicants should have good knowledge of the current discussions around public engagement with science and demonstrable experience in public engagement projects. Strong practical problem-solving skills will be important, along with an ability to build rapport with academic collaborators, policymakers, third sector representatives, and the wider public. Applicants should have organizational skills and a record of managing multiple work-streams and developing streamlined processes according to project requirements

Deadline: May 11, 2018 | Published: April 13, 2018   06:57              

Department: Institute of Neurology
Duration: 1+ y        Workload: 100%
Duties: We are seeking a highly motivated individual to work at the interface of statistics, bioinformatics, and neuroscience, as part of the Human Cell Atlas program of the Chan-Zuckerberg foundation. The successful applicant will work as part of an international interdisciplinary collaboration, using advanced computational methods to classify cells of the cerebral cortex via their high-dimensional genetic expression patterns
Minimum Requirements: Applicants should have a PhD or equivalent qualification, and an ability to work in a diverse group including experimental and computational neurobiologists. Experience with gene expression data is desirable but not necessary, however experience with large-scale data processing in some form is essential

Deadline: May 16, 2018 | Published: April 13, 2018   06:53              

Department: Institute of Neurology
Duration: 1+ y        Workload: 100%
Duties: Applications are invited for a Research Associate to join a team of researchers using RNA sequencing data to investigate the relationship between genetic variation in the human genome and gene expression in the human brain and in other tissues with the aim of: (i) improving our understanding of the pathogenesis of human brain diseases, and (ii) improving the identification of pathogenic variation relating to diseases of the central and peripheral nervous system. The post holder will contribute to the development and management of the major analysis pipelines, particularly the use of transcriptomic data sets to identify novel transcripts specific to the human CNS
Minimum Requirements: Applicants must have a BSc or equivalent in computational science, and a PhD (or be close to obtaining) in Neuroscience or Bioinformatics. Experience in the building and updating of NGS analysis pipelines, the use of bioinformatics tools including R, ShinyR, Plink, Bioconductor, and the design and development of databases using MySQL, and extensive experience in the use of transcriptome quantification tools including DEXSEQ, derfinder, altrans, cufflinks, salmon, HTSeq-counts and leafcutter, and with cluster computing, are essential. Excellent oral and written communication skills, and good inter-personal skills, are also required

Deadline: April 25, 2018 | Published: April 13, 2018   06:44              

Duration: 7 m        Workload: 100%
Duties: The Research Associate will investigate the possibilities for a new Global Health Index comparing the healthcare policy, services and infrastructure of cities and regions around the world. They will explore what data is available and how it can be compared and interrogated to produce an index of value to the industry, and how this index can be a basis for an engaging platform of events for WSP throughout their territories, stimulating new thinking and positioning them as thought-leaders in the field
Minimum Requirements: It is essential that the appointed candidate has a first degree in a relevant discipline and a Masters from the Royal College of Art. The successful candidate will have a proven interest in people-centred design research and methods, and data science and/or global healthcare. They will have the ability to work methodically and to identify, analyse and interpret data, as well as strong data visualisation and presentation skills. Candidates must have confidence working within the engineering profession, and to engage different stakeholder groups including industry experts

Deadline: April 26, 2018 | Published: April 12, 2018   14:57              

Duration: 1 y        Workload: 100%
Duties: The Research Assistant will engage, as part of the Research Support Team, in providing support to research and knowledge transfer projects across the Faculty of Health and Wellbeing. To work closely with researchers in the Faculty of Health and Wellbeing in order to assist with all aspects of research projects, which will include qualitative and quantitative data collection, data input/cleaning and analysis as per defined research protocols. To undertake the management of data relevant to designated projects, which may include setting up data files, and conducting literature search and review. To attend project-planning, operational and steering group meetings as required
Minimum Requirements: The successful candidate will need to hold a good honours degree, or equivalent, in a relevant area. Experience of working within the NHS or in a clinical academic research setting as well as experience of undertaking qualitative and/or quantitative research studies is essential

Deadline: May 13, 2018 | Published: April 12, 2018   13:33              

Workload: 20%
Duties: The overall purpose/objective of this role is to teach an evidence-based curriculum within the field of Osteoporosis & Falls. The experience for all students at the University of Derby is grounded in learning and teaching that is of the highest quality, delivered by appropriately qualified and experienced academic staff, whom are deeply engaged with their discipline. This commitment to learning and teaching is focused on the student experience ensuring that they are treated as individuals in the learning journey. Implicit in this, is the requirement that we encourage independence of thought, the desire to understand and to advance within the discipline, and the ability to reflect on what has been achieved
Minimum Requirements: The post holder will be innovative and creative in their role whilst possessing in-depth knowledge and experience in Osteoporosis & Falls. The post holder may also be required to contribute towards other under graduate and post graduate modules related to diagnostic imaging

Deadline: April 23, 2018 | Published: April 12, 2018   10:53              

Department: Loughborough Design School
Duration: 2 y        Workload: 100%
Duties: This is a rare opportunity at such an early career stage to gain a prestigious 2-year Fellowship to pursue your own ambitious research idea and develop your skills as an independent researcher, with the support of a Loughborough University academic sponsor. Up to 10 positions available across all Schools. During the Fellowship you will be expected to prepare and submit for an appropriate externally-funded Research Fellowship to advance your research plans further
Minimum Requirements: You must have passed your PhD examination, including completion of any corrections to the satisfaction of your examiners, by the time your Doctoral Prize Fellowship begins. You must also be within two years of your PhD examination on the closing date for applications

Deadline: May 10, 2018 | Published: April 11, 2018   22:19              

Duration: Permanent        Workload: 100%
Duties: The role will focus on developing new low cost sensor systems, the associated monitoring software, data capture and analysis. There will be practical elements around designing and building sensor systems using off the shelf components and also in installing these in appropriate systems and environments. It is expected that the role will include liaison with Universities, other NPL departments, customers and other research and support bodies
Minimum Requirements: The ideal candidate would have experience of working either in a manufacturing environment or with manufacturers and have a basic level of understanding of manufacturing processes. The candidate would also ideally have a degree or equivalent experience in engineering, physics or material science
Preferred Requirements: It would be advantageous if the candidate had experience with C, C++ or Python programming languages

Deadline: May 5, 2018 | Published: April 10, 2018   16:03              

Duration: 3 y        Workload: 100%
Duties: The successful candidate will collaborate with scientists across various disciplines and liaise with sequencing centres and bioinformatics platform providers to ensure delivery of several high quality, completed insect genomes per year. The post-holder will also provide advice to the project partners on the design of sequencing experiments and application of Bioinformatics data analysis
Minimum Requirements: The post-holder will be a senior Bioinformatician who will be expected to be familiar with a range of sequencing methods and data (Illumina, PacBio, Oxford Nanopore, 10x Genomics) and be an expert in genome assembly, annotation and comparative genomics

Deadline: April 23, 2018 | Published: April 10, 2018   01:01              

Department: Economics
Duration: until 30.09.2020        Workload: 100%
Duties: The Department of Economics is seeking a Post-Doctoral Research Associate to support one the Department’s strategic research priorities - the relationship between health and labour market outcomes. You will contribute to new work which uses cutting-edge econometric methods to estimate the causal effects of health on a range of labour market outcomes, including employment, work hours and productivity. The findings will extend our understanding of the mechanisms behind the effect of health on work outcomes, including institutional effects and spillovers. Your work will include: the preparation and merging of micro level data; data analysis; helping to disseminate research findings and helping to prepare funding applications
Minimum Requirements: You should have completed your PhD in economics, statistics or a closely related discipline by the start of the appointment or alternatively you should be able to demonstrate experience of carrying out high quality academic research in your current employment. You must have experience of data analysis, specifically micro-econometric methods using STATA
Preferred Requirements: Experience of working with large scale longitudinal data is essential and experience of spatial econometric techniques and secure data is also desirable

Deadline: April 23, 2018 | Published: April 10, 2018   00:21              

Department: Institute of Clinical Trials and Methodology
Workload: part-time
Duties: The post holder will be responsible for developing, improving, testing and maintaining trial databases using MACRO. Whilst MACRO is the current tool other systems may be used in the future. The post holder will also be responsible for the development of standardised database management tools using a range of technologies including SQL Server TSQL, C#.NET and other software as appropriate. Develop, improve, maintain and test bespoke clinical trial databases in MACRO (full training will be given on this data capture solution) and advise/assist on externally developed databases. Develop new and improve existing tools to make statistical analysis, trial management and data management tasks more efficient
Minimum Requirements: The successful applicant must possess a good general education to GCSE/A levels, NVQ Level I/II Administration, or have acquired substantial relevant experience. Experience of developing applications using modern tools and advanced techniques is also an essential requirement

Deadline: May 8, 2018 | Published: April 10, 2018   00:17              

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

Deadline: May 8, 2018 | Published: April 9, 2018   23:24              

Department: Biostatistics
Duration: 2 y        Workload: 100%
Duties: You will support the development of methodology to be used by speech analysts in their assessment of outcomes within a surgical trial of cleft palate repair
Minimum Requirements: You should have a degree in a relevant discipline and a Masters in Medical or Applied Statistics, be able to work as part of a team and have effective interpersonal skills

Deadline: April 25, 2018 | Published: April 9, 2018   17:14              

Department: Global Health & Development
Duration: 1 + y        Workload: 100%
Duties: Child Protection Research Group conducts research to understand the causes and consequences of violence; to develop, adapt and evaluate interventions to reduce violence; and to improve research methodology in the field of child protection. The intervention aims to reduce physical, sexual and emotional violence between school staff and students, between student peers, and within students’ intimate partnerships. The pilot trial will generate data on Ugandan adolescents’ experience of violence, relationships with adults, peers and intimate partners, and a range of other health outcomes. The role will also involve other epidemiological research relevant to child protection
Minimum Requirements: Applicants who are applying at Research Fellow level must have a post-graduate qualification (Masters degree) in epidemiology, or another quantitative discipline with a strong statistical component. Applicants who are applying at Assistant Professor level must also have a relevant doctoral degree (PhD) and have a track record of publication commensurate with experience. Proficiency in using STATA alongside standard MS office programs is essential. The successful candidate must be able to communicate effectively, in English, in both verbal and written formats and have experience in data management, analysis and knowledge of quantitative methods

Deadline: May 4, 2018 | Published: April 9, 2018   13:50              

Duration: 3 y
Duties: Join the high-qualified European Training Network Quantum Electronics Science & Technology (QuESTech)! The main topics include molecular electronics, single electronics, quantum thermodynamics, spintronics and transport in low-dimensional structures. You will get an all-round training in one of the participating universities (Grenoble, Leeds, Göteborg, Konstanz, Zürich, San Sebastian, Helsinki) & companies (Raith Dortmund, Graphenea San Sebastian)
Minimum Requirements: MSc in Physics

Published: April 8, 2018   20:43              

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

Published: April 8, 2018   20:37              

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: April 8, 2018   20:36              

Department: Ri Infection Immunity & Inflammation
Workload: 100%
Duties: To support the researchers in the MRC-University of Glasgow Centre for Virus Research (CVR) and carry out independent computer-based research, perform data analysis, and develop novel analytical approaches for viruses and virus-host interaction data sets. Assist and contribute to the CVR’s research objectives, in collaboration with our bioinformatics team and CVR researchers, and in accordance with specific project’s deliverables. To perform internationally competitive research in the analysis of virus and host data sets. To develop and apply innovative computational approaches for the analysis of large sequence data sets from high-throughput sequencing and/or proteomics technologies to support CVR research groups
Minimum Requirements: Demonstrated experience of bioinformatics/computer-based research in a biological domain. Experience in a programming or scripting language, e.g. JAVA, Python and/or Perl. Experience in statistical programming, e.g. R or related software, and/or machine learning applications. Experience in writing scientific reports or publications. Experience of delivering research/technical support seminars
Preferred Requirements: Experience of web development, e.g., use of JavaScript/JSON. Experience integrating data from different 'omic' sources

Deadline: May 7, 2018 | Published: April 8, 2018   13:25              

Duration: 2 y        Workload: 100%
Duties: You will be working on an interdisciplinary project that is seeking to develop algorithms for resilient robot swarms, capable of rapidly - in no more than a few minutes - recovering from faults and damages sustained by individual robots of the swarm. This is to be achieved by developing a novel family of algorithms to creatively discover a large and diverse map of swarm robot behaviours, and when damaged, efficiently select compensatory behaviours from the map via trial-and-error reset-free learning
Minimum Requirements: You should possess a PhD in a relevant discipline (Computer Science, Engineering, Robotics, Artificial Intelligence, Machine Learning or a closely related discipline), or equivalent professional qualification and experience, have established a strong research pedigree in your area (as evidenced by publications in top quality journals and conferences) and excellent coding, statistical and data analysis skills. In particular, expertise in one or more of the following areas will be an advantage: evolutionary computation and/or machine learning

Deadline: May 11, 2018 | Published: April 8, 2018   13:19              

Duration: Until 31 July 2020        Workload: 100%
Duties: We are seeking to appoint a post-doctoral Research Fellow to join a collegiate team of computer scientists and mathematicians, in the area of requirements engineering and domain-specific modelling languages/tools, for machine learning and data analytics applications. You will be required to carry out high quality cutting-edge research, leading to publications in top international venues. You will work with multiple small industries and companies on current and future requirements of data analysis problems with a commercial focus. You will be joining a team of experts involved with the technology transfer of leading edge ideas and research in data analytics into the commercial and industrial sectors
Minimum Requirements: The successful candidate will hold a PhD in one of the relevant areas of expertise, or have made substantial progress towards one. You will have good interpersonal skills to interact directly across academia and industry and from technical to managerial levels. An ability to develop formal problem specifications and capturing systems requirements from commercial problem domains will be as important as your problem solving abilities

Deadline: May 5, 2018 | Published: April 8, 2018   13:16              

Department: School of Biological & Chemical Sciences
Duration: 3 y        Workload: 100%
Duties: The postdoctoral research will focus on quantum chemical and QM/MM calculations and modelling of the structure and dynamics of electronically excited transition-metal complexes and metallolabelled redox proteins, with a particular emphasis on photoinduced electron transfer reactions and nonradiative relaxation processes. Active participation in ultrafast spectroscopic experiments at state-of-the-art laser facilities (RAL, ELI Beamlines), data analysis and interpretation, as well as computational modelling of time-resolved vibrational spectra will be another important aspect of the work. Duties may also include limited teaching activities, which will enhance postdoc's experience and qualification
Minimum Requirements: The ideal candidate should have a PhD in computational chemistry, physical chemistry, and/or photochemistry/photophysics. Previous experience in QM/MM calculations of biomolecular or complex supramolecular systems containing heavy transition metals is an important advantage. A track record in high-quality original research and peer-reviewed publishing is essential

Deadline: May 2, 2018 | Published: April 8, 2018   12:39              

Department: Division of Biosciences
Workload: 100%
Duties: We are looking to recruit a Research Associate to undertake research to understand the impacts of food production on biodiversity and the feedback from biodiversity to food production. The role holder will work to identify key groups of species worldwide that support or hinder agricultural production through providing key ecosystem functions or acting as pest species, develop models of how these groups of species respond to environmental changes including agricultural changes, identify hotspots where trade-offs and interactions between biodiversity and food production are likely to be most acute, and develop future projections of changes in biodiversity, and its interactions with food production
Minimum Requirements: PhD (or about to be awarded) in related discipline (most likely ecology, conservation biology, computer science) is essential as is excellent technical proficiency in coding/scripting (e.g., in R or Python) and experience handling large datasets

Deadline: May 7, 2018 | Published: April 8, 2018   12:11              

Department: Wolfson Institute of Preventive Medicine
Workload: 100%
Duties: The Wolfson Institute of Preventive Medicine is looking to recruit a Postdoctoral Research Assistant (PDRA) to work on an NIHR funded project (NIHR Global Health Research Unit Action on Salt China). The overall aim of the Unit is to develop, implement and evaluate nutrition policies with focus on salt reduction in Low- and Middle-Income Countries, particularly China and other Asia-Pacific Countries. This role will provide an opportunity to be involved in a number of research projects on salt reduction in the UK and China. The PDRA will also be the Training Lead to deliver the training strategy to meet the NIHR Global Health Requirements
Minimum Requirements: Applicants should hold a PhD degree (or equivalent) in Epidemiology or Public Health or a related discipline with demonstrated experience in computational and statistical analysis. Good communication skills in both English and Mandarin are essential. The successful candidate will be pro-active and insightful, with excellent organisational skills, able to use their initiative, as well as working in a team

Deadline: May 3, 2018 | Published: April 8, 2018   12:01              

Department: Department of Chemical Engineering
Workload: 100%
Duties: The Department of Chemical Engineering at University College London (UCL) is seeking a graduate student to work on computational catalysis. The project will elucidate the effect of carbon-based poisons for catalytic processes related to methane activation, focusing primarily on methane-steam reforming. The main purpose of this role is to carry out research in the area of computational catalysis and reaction engineering, with specific focus on understanding the effect of carbon-based poisons for catalytic processes related to methane activation, primarily methane-steam reforming
Minimum Requirements: Have or expected to obtain a first degree in chemical engineering, chemistry, materials science, physics or associated discipline. Ability to analyse, develop and solve open-ended research problems. Ability to manage time and work to deadlines. Effective written and verbal communication skills (in English)
Preferred Requirements: Knowledge of computational chemistry and statistical mechanics methods. Ability to present complex information effectively to a range of audiences. Willingness to work at interdisciplinary boundaries. Previous experience in conducting molecular simulations

Published: April 8, 2018   11:14              

Department: Computer Science
Duration: 3+ y        Workload: 100%
Duties: The PPLV group conducts world-leading research in logical and algebraic methods and their applications to program and systems modelling and verification. The successful candidate will conduct conceptual, mathematical, and computational research, which be foundational and/or applicable, in these topics
Minimum Requirements: Applicants must hold, or be about to receive, a PhD in logic, theoretical computer science, or a closely related area. An interest in systems modelling verification, together with underlying logical and mathematical theory, is essential. Advanced programming skills and knowledge of, or some interest in, distributed systems and/or information and systems security are highly desirable

Deadline: May 4, 2018 | Published: April 8, 2018   06:44              

Department: Precision Medicine Centre
Workload: 100%
Duties: he post-holder will work alongside the Precision Medicine Centre of Excellence's (PMC) Lead Bioinformatician to develop, validate and maintain analytical tools, data analysis pipelines and algorithms to analyse genomic information from cancer specimens, in the context of clinical studies and clinical trials. To analyse and interpret genomics and digital pathology imaging data providing timely and accurate feedback to others in the team. To correlate biological findings with clinical outcomes and integration with other datasets such as digital images or expression profiling to develop new diagnostic, prognostic and predictive tools. To assist in manuscript and grant preparation and writing
Minimum Requirements: Have or be about to obtain a PhD in computational biology, bioinformatics, biostatistics, mathematics or related discipline. 2. At least three years relevant research experience in genomics/molecular pathology. 3. Experience of working with Linux/UNIX environments. 4. Significant experience managing and analysing NGS data and other big data. 5. Proficiency with perl, python, bash and/or equivalent languages. 6. Experience creating, querying and maintaining databases, particularly MySQL or PostgreSQL. 7. Experience with suitable analysis and plotting languages, particularly R or Matlab

Deadline: May 4, 2018 | Published: April 8, 2018   01:29              

Department: School of Veterinary Studies
Workload: 100%
Duties: We are looking for a bright and enthusiastic researcher with experience in statistical inference and computational modelling to join our group at the Genetics and Genomics Division. Your main role will be to develop and apply statistical inference methods and experimental designs to determine the role of host genetics and non-genetic factors on the spread and impact of infectious disease in livestock. You will also have the opportunity to contribute to other research projects carried out within the Wilson group and The Roslin Institute and assist with teaching
Minimum Requirements: PhD, or near completion of a PhD, in a discipline with a substantial quantitative component (e.g. mathematics, statistics, quantitative genetics, theoretical biology or physics), together with evidence of expertise in computational modelling and statistical inference, Excellent programming skills and experience in writing computational code for analysing or modelling disease or other dynamic processes, Experience in Bayesian statistics, Markov Chain Monte Carlo and other statistical inference techniques, Experience or a strong interest in quantitative genetics and genomics, A track record of research outputs, publications in peer reviewed scientific journals and presentations at scientific conferences

Deadline: April 30, 2018 | Published: April 8, 2018   00:54              

Duration: 28 m        Workload: 100%
Duties: The aim of this exciting role is for an aspiring statistician to develop, validate and implement statistical models that predict patient engagement and non-attendance, enabling services to deliver more productive and efficient care. This important and challenging Knowledge Transfer Partnership (KTP) is between Mayden Ltd and the Department of Mathematical Sciences at the University of Bath. Working with Mayden’s flagship client management system iaptus, initially designed to capture and report the Improving Access to Psychological Therapies (IAPT) dataset, whilst managing client records and workflow. The project will ensure iaptus has more advanced predictive analytics integrated into the system than any other Digital Care Record
Minimum Requirements: A PhD (or equivalent) in statistics, mathematics, computer science or a related field. A strong statistical computing and programming background (preferably in R), and practical experience of applying these techniques to devising solutions to real world healthcare problems. Proficiency in standard statistical modelling tools (e.g., regression, generalised linear models)

Deadline: May 10, 2018 | Published: April 8, 2018   00:40              

Duration: 2 + y        Workload: 100%
Duties: We are seeking a Senior Medical Statistician to join a multidisciplinary team involved in the design, conduct and analysis of studies of genetic and non-genetic causes of common chronic diseases. You will take the lead in undertaking detailed statistical analysis, using conventional and novel methods, of large, complex and multi-dimensional data collected or to be generated. You will advise and supervise junior staff, present at scientific meetings and contribute to papers in high profile publications
Minimum Requirements: To be considered you will have a PhD in statistics or a closely related field (or demonstrable experience, ability and practical success in statistical analyses). You will require a strong understanding of common statistical methods used in medical research and proficiency in SAS and working knowledge of at least one other statistical package such as Stata or R. A strong publication record in biomedical/epidemiological research, excellent communication skills and the ability to supervise staff are also essential for this role

Deadline: May 11, 2018 | Published: April 8, 2018   00:40              

Department: School of Electronic Engineering & Computer Science
Duration: 3 y        Workload: 100%
Duties: The School of Electronic Engineering and Computer Science at Queen Mary University of London is seeking three Early Stage Researchers (ESRs) to work on the EU-funded Horizon 2020 Marie Sklodowska-Curie Innovative Training Network (ITN) "New Frontiers in Music Information Processing", with partners from academia and industry from various EU countries. Applicants will complete a PhD in the Centre for Digital Music, while receiving training in academic and industrial aspects of music informatics research
Minimum Requirements: Applicants are expected to have a strong first degree in computer science, electronic engineering or related discipline. Ideal candidates will have related Master’s degree, demonstrable understanding of the research process and the state of the art in music informatics evidenced by publications in scholarly journals/conferences. Candidates must demonstrate significant experience in at least two of the following: music informatics, audio signal processing, machine learning, software development, and music (theory, practice and/or acoustics). Candidates should have English and communication skills. Candidates must be able to travel to meetings/conferences in the EU and elsewhere, and be seconded with the industrial partner for their project (see project web site mip-frontiers.eecs.qmul.ac.uk for details)

Deadline: May 6, 2018 | Published: April 7, 2018   06:42              

Department: Nerc
Workload: 100%
Duties: The Marine Autonomous and Robotic Systems (MARS) group at the National Oceanography Centre in Southampton, UK is seeking to recruit a Software Engineer that will have a key role for the development and implementation of robotic control systems to guide, control and navigate autonomous underwater and surface vehicles of the MARS fleet
Minimum Requirements: You should have a degree in Software Engineering, Robotics or a related area. Excellent software implementation skills (C++/Python) are essential
Preferred Requirements: UxV modelling and simulation robotic localisation, navigation and planning machine learning/perception and probabilistic methods for behaviour analysis, familiar with robotic middleware (e.g. ROS), hands-on robotics or experience with embedded systems, a well-established publication record. Strong competencies in C/C++/Python programming and MATLAB are essential. Additional desirable requirements include a good publication record, strong written and oral English communication skills, organisation and teamwork

Deadline: May 9, 2018 | Published: April 6, 2018   15:57              

Department: Life Science
Duration: Permanent        Workload: 100%
Duties: Develop, test, maintain and support the Data Acquisition software platform on Diamond’s beamlines, in collaboration with beamline staff, other members of the Data Acquisition group, and the Scientific Software group. Significantly contribute to the design and development of enhancements to the Data Acquisition platform to support new capabilities on Diamond’s new DIAD beamline. Enhance the core Data Acquisition software framework to make it robust, adaptable, and easy to use by developers and users alike. Maintain responsibility for the management and coordination of own workload, and ensure outputs are delivered on time and to high quality
Minimum Requirements: First degree in Computer Science, Engineering or Science; Ability and initiative to get to the heart of the problem and take it effectively through to completion; Good interpersonal, communication and presentational skills; Conscientious and pays attention to details; Ability to interact effectively with staff at all levels. Significant relevant experience of Java and Python, or possibly C# or C++; Excellent technical/theoretical understanding of methods, systems and approaches relating to technical software engineering e.g. Source Control, Code Review, Continuous Integration; Experience of development on UNIX-like operating systems
Preferred Requirements: PhD in science; Experience in coordinating software development projects including liaising with internal resources from other departments; Experience in development of scientific software in the fields of Tomography or Spectroscopy. Experience of development on UNIX-like operating systems

Deadline: May 6, 2018 | Published: April 5, 2018   23:06              

Department: School of Electrical Engineering and Computer Science
Workload: 100%
Duties: SenSat Ltd. and the School of Electrical Engineering and Computer Science of University of Bradford are cooperating to transform specialist knowledge and expertise in visual computing, machine learning, and big data analytics to provide a machine learning based visual analytics models for asset recognition. This is an excellent opportunity for a well-motivated and capable individual to boost his/her career by joining SenSat Ltd. At the end of the project the KTP Associate may be offered the opportunity to join the company on a permanent basis
Minimum Requirements: You should have an MSc degree (or will be expected to achieve soon) in Mathematics, Physics, Visual Computing, Machine Learning, Big Data, Data Science or related subject relevant to project aims. You will also have very strong programming skills with substantial academic/industrial software development experience

Deadline: April 29, 2018 | Published: April 5, 2018   20:06              

Department: Warwick Business School
Duration: until 31.01.2021        Workload: 100%
Duties: Applications are invited for a Post-Doctoral Research Fellowship based in the Enterprise Research Centre. The person appointed will work on projects related to business innovation, diffusion and productivity. This position is part of the Enterprise Research Centre’s programme focusing on SMEs, innovation, productivity and business eco-systems. The post requires strong econometric skills, an interest in the economics of innovation and ideally experience of working with company survey data. The Research Fellow will be involved actively in all aspects of the project including dataset maintenance and development, econometric estimation, and co-authoring and presenting conference and academic papers
Minimum Requirements: The post holder should have, or be close to completing, a PhD in economics, econometrics or a related quantitative social science discipline. Knowledge of panel data econometrics is essential, as is a working knowledge of Stata
Preferred Requirements: An understanding of the economics of SMEs is highly desirable

Deadline: April 24, 2018 | Published: April 5, 2018   18:32              

Department: Science & Engineering
Duration: 1, 5 y
Duties: The main purpose of the role is to lead in the development of data analysis and visualisation methods, you will take responsibility for the analysis of 3D X-Ray imaging data sets and will be one of the technical authorities for data analysis and will be expected to assist and train the academic users
Minimum Requirements: You will hold a first degree (or equivalent) in mathematical, computational or physical science related discipline, and will have experience in X-Ray image analysis, quantitative scientific data analysis, computer vision and image analysis and informatics and scientific algorithm/methods design and statistical evaluation. You should have experience of multi-disciplinary collaboration and proven ability to use initiative to efficiently plan, optimise and progress project and communicate findings. You will demonstrate extensive IT skills (including experience of working in Avizo). You will have strong awareness of Safety, Health and Environment issues in an engineering setting. You will be equally adept working individually or as part of a team, self-motivated and proactive with the ability to apply your initiative. You will have good all round communications skills, be able to discuss technical and nontechnical issues and be able to keep written records using Microsoft Office. You will ...

Deadline: April 23, 2018 | Published: April 4, 2018   18:01              

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: April 4, 2018   00:20              

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

Published: April 3, 2018   08:32              

Department: Precision Medicine Centre
Duties: To lead and manage the bioinformatics section of the Precision Medicine Centre of Excellence (PMC). To develop, validate and maintain analytical tools, data analysis pipelines and algorithms to analyse genomic information from cancer specimens, in the context of clinical studies and clinical trials. To oversee and supervise the analysis and interpretation of vast amounts of biological, clinical and scientific data, including genomics, transcriptomics and digital pathology imaging and providing timely and accurate feedback. To correlate biological findings with clinical outcomes and integration with other data sets such to develop new diagnostic, prognostic and predictive tools
Minimum Requirements: PhD in computational biology, bioinformatics, biostatistics, mathematics or related discipline. Substantial relevant research or clinical experience in human/cancer genomics, which has lead to publications in high-impact factor journals. Experience of working with Linux/UNIX environments. Significant experience managing and analysing NGS data and other big data. Experience of direct managing of projects and small teams. Significant experience using and managing and curating internal and external databases (clinical and genomics). Proficiency with perl, python, bash and/or equivalent languages. Significant experience creating, querying and maintaining databases, particularly MySQL or PostgreSQL. Experience with suitable analysis and plotting languages, particularly R or Matlab. Publication record in a relevant field commensurate to experience. Knowledge of high performance computing systems and job scheduling. Good knowledge of biostatistics. Excellent verbal and written communicational...
Preferred Requirements: 1st Class or 2.1 undergraduate degree. Understanding of cancer datasets. Experience in digital pathology. Experience in a clinical bioinformatics environment. Experience in translational cancer research. Experience of working in cancer genetics. Experience working with clinical specimens and in a clinical environment, conforming to regulatory requirements. Track record of publications in cancer including first authored publications in high-impact journals. Experience contributing to applications for peer reviewed research funding from national or international granting bodies. Outstanding IT skills. Experience of delivering lectures/tutorials on informatics or NGS based approaches

Deadline: May 4, 2018 | Published: April 2, 2018   19:09              

Department: Bristol Medical School
Workload: 100%
Duties: We are seeking a talented senior research associate/research fellow with extensive experience in biomedical data integration and analysis, web application development, data mining and causal inference
Minimum Requirements: You will have a strong computational background, with experience in Python, R and other programming languages and experience working with a range of bioinformatic data sources. Ideally you will be familiar with graph databases (eg Neo4J). You will also have experience of applied statistical analysis and/or machine learning and will have a good understanding of causal inference using graphical causal models

Deadline: April 25, 2018 | Published: April 2, 2018   17:09              

Department: Department of Applied Mathematics and Theoretical Physics (DAMTP)
Duties: Applicants will be expected to give undergraduate and masters-level lectures, taking feedback from students and providing them with career or pastoral advice, and perform other usual departmental duties such as those associated with examinations. They will be expected to investigate new areas of research and funding opportunities, and submit grant applications. They will also be required to write papers for publication, attend conferences, network with national/international colleagues and give presentations
Minimum Requirements: Applicants should hold a PhD in Mathematics or equivalent and be able to demonstrate an outstanding research record in an area lying within the broad research activities in fluid and solid mechanics in DAMTP

Deadline: April 26, 2018 | Published: April 2, 2018   06:44              

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: April 1, 2018   10:40              

Department: School of Economics
Duration: 2 y        Workload: 100%
Duties: The School (ECO) is committed to excellence in research and teaching. We have strong research groups in experimental and behavioural economics; industrial organisation; and applied and financial economics. We have been ranked in the top 10 UK universities for Economics/Business and are determined to extend our reputation in the future, including investing in different areas
Minimum Requirements: You must have a PhD in Economics (or be nearing completion with submission within six months of commencement), or equivalent qualification and be able to satisfy all the essential criteria in the person specification

Deadline: April 25, 2018 | Published: March 31, 2018   22:48              

Department: Computer Science
Duration: 3 y        Workload: 100%
Duties: Applicants are invited to apply for the above role which is a Knowledge Transfer Partnership (KTP) between the University of Nottingham (School of Computer Science) and E.On UK PLC. This project will focus on developing innovative services to customers using advanced big data science to maintain E.On’s leading industry position as an Energy provider by analyzing their energy management systems. You will be employed by the University of Nottingham but will be based at E.On UK, Nottingham
Minimum Requirements: A postgraduate degree (PhD or MSc) in any of these areas: data science, computer science, artificial intelligence or closely related discipline. Graduates with a good first degree in Computer Science and significant experience in Data Science may also be considered. Knowledge and expertise in at least a subset of the core techniques required in this project: data analysis, data mining, machine learning, modelling and optimisation. Experience in at least a subset of specialised tools such as R, Scala, Python, Hadoop, Spark, and Machine Learning libraries. Excellent communication skills and experience in working as part of a team. He/she should also have experience in writing reports and conducting effective bibliographic research
Preferred Requirements: Good knowledge of software development methodologies and some experience developing professional software is desirable

Deadline: April 25, 2018 | Published: March 31, 2018   22:47              

Department: School of Education
Workload: 100%
Duties: In this role, you'll join our team of committed academics who enable students to transform lives through their practice. You'll teach on a range of undergraduate and postgraduate courses in initial teacher education and wider studies in education, specifically in mathematics. You'll also supervise and support students on practice placements. You'll also be actively engaged in research, scholarship and innovation through our Education Research Group
Minimum Requirements: You are an inspirational teacher who is passionate about mathematics and teacher education. You've taught in primary or secondary schools and have developed and led the subject in either age phase. You are creative, flexible and enthusiastic about responding to new developments in education. You are currently or keen to become a research-engaged academic. You'll contribute new knowledge to the field of education through your research and scholarly activity and, in turn, enhancing students' learning and practice. You are also someone who relishes the opportunity to undertake a wider area of responsibility in the School

Deadline: May 1, 2018 | Published: March 31, 2018   22:47              

Department: Mathematical Institute
Duration: until 28 February 2021        Workload: 100%
Duties: We invite applications for two Postdoctoral Research Assistants to undertake research in battery modeling within the Multi-Scale Mathematical Modeling Fast Start Project. The postholders will work on specific aspects of the project undertaking fundamental research in asymptotics, homogensiation and numerics to develop, analyse and solve models of the coupled electrochemistry, mechanics and heat flow that determine the behaviour of batteries
Minimum Requirements: Applicants will have, or be close to completing, a PhD in mathematics or a related discipline with expertise in modelling practical problems using analytical or numerical approaches for solving PDEs and possess sufficient specialist knowledge in the discipline to work within established research programmes
Preferred Requirements: Preference will be given to candidates with a strong mathematical background in asymptotics, partial differential equations, and experience of modelling physical systems

Deadline: April 25, 2018 | Published: March 31, 2018   22:47              

Department: Biostatistics
Duration: until 31 May 2021        Workload: 100%
Duties: We are seeking an individual to work on a MRC Methodology Research Panel funded project to develop methodology and computationally efficient software for the analysis of pharmacogenetic exome sequencing studies with “time-to-event"outcomes
Minimum Requirements: You should have experience of research in an area of applied statistics, analysing genetic data, and of survival analysis. You should also be highly motivated and will be expected to present your research in high quality journals and at leading international conferences. You should have a PhD (or be about to obtain) in Statistics, Biostatistics or Genetics, or PhD with a significant component of Statistics, Biostatistics and/or Genetics

Deadline: April 26, 2018 | Published: March 31, 2018   22:46              

Department: London Institute of Medical Science
Duration: 3 y        Workload: 100%
Duties: The Behavioural Genomics group’s research is aimed at understanding how genome variation affects behaviour, with an emphasis on how high-throughput imaging and quantitative analysis can open new ways of exploring the genotype-phenotype map. Current areas of research include new representations of complex phenotypes such as behaviour and the development of new imaging systems to record video of freely behaving worms with high-throughput and resolution. Increasingly, we are also using this technology for whole-animal drug screens. The post holder will develop new methods for quantifying behaviour to improve the power of genome wide association studies for behaviour and to predict the mechanism of action of new neuro-active drugs
Minimum Requirements: PhD (or equivalent) in physical sciences, engineering, mathematics, computer science, or similar. Demonstrated ability to derive insight from quantitative data using computational methods. Experience planning and completing an independent research project. Expertise in at least one programming language
Preferred Requirements: Ability to code in Python. Experience with machine learning including deep learning. Experience with image analysis (segmentation and tracking). Publications in peer-reviewed journals. Presentations at scientific conferences

Deadline: May 3, 2018 | Published: March 31, 2018   22:41              

Department: Centre for Craniofacial Biology & Regeneration
Duration: 2 y        Workload: 100%
Duties: This post is to do a project on how cells drive epithelial morphogenesis in general, focusing on ectodermal organs, including teeth, hair follicles, salivary glands, mammary ducts and others. Recent papers from the lab have identified novel cellular dynamics for bending epithelia, linking the cell biology and molecular signals to the generation of tissue forces, motions and developmental phenotypes. The project will use explant culture, advanced microscopy, physical techniques such as laser ablation, and image analysis. It will involve mouse embryology, immunohistochemistry, and advanced image analysis
Minimum Requirements: Suitable applicants would include those with a strong background in developmental or cell biology

Deadline: April 23, 2018 | Published: March 30, 2018   19:58              

Department: School of Mathematical Sciences
Workload: 100%
Duties: The post-holder is expected to provide inspirational research leadership in Mathematical Sciences and will have a proven track record in research achievements of international stature demonstrated through publications, as well as the ability and flexibility to teach across a range of topics in mathematics at various levels. As Deputy Head of School, the appointee will also be responsible for academic staff development within the School. Applications are invited from candidates in any area of mathematical sciences, with particular interest in Statistics, Mathematical Biology, Number Theory, Algebra, Optimisation & Operations Research and Statistical Machine Learning

Deadline: April 25, 2018 | Published: March 30, 2018   06:14              

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

Published: March 30, 2018   00:16              

Department: Faculty of Science and Technology
Duration: 3 y        Workload: 100%
Duties: Drug discovery through phenotypic screening; development of medium-high throughput screening assays; medical device and technology development using physiological signals; mathematical and computer modelling of physiological systems; hardware and/or software design for healthcare/medical applications; biomechanics, biomedical engineering or medical device engineering; gait/motion analysis research; development of molecular diagnostic kits for the diagnosis of infectious diseases based on aptamer and PCR technology; medical informatics/bioinformatics
Minimum Requirements: You'll be able to demonstrate competence in research and development in one of the research areas listed above. You'll have experience of writing concise, comprehensive reports, and will have a good understanding of the techniques applicable to the research area. You'll be able to analyse data critically and will have an enthusiastic and flexible approach

Published: March 28, 2018   19:49              

Department: Construction Management & Engineering
Workload: 100%
Duties: We are seeking a PDRA to join us on an exciting project between the University of Reading, OrxaGrid Ltd and SCOPE, funded by Innovate UK, to improve the operation of electricity grids in the UK and India by augmenting OrxaGrid’s substation monitoring systems with innovative data science, forecasts and algorithms. The researcher will be on the Innovate UK project ‘Transforming electricity access through smart sensors and grid efficiency algorithms’ to assist in the development of a unique interoperable gateway and add advanced data analysis techniques, and algorithms that improve grid efficiency by forecasting demand and renewable generation, predicting theft and technical outage locations and identifying spare capacities in the grid
Minimum Requirements: A post-graduate degree in a relevant specialism (e.g. in engineering, mathematics or physical sciences) or comparable attainment. Knowledge of methods and software tools for analysing large time-series datasets to determine trends and patterns. Knowledge of methods for performing cluster analysis of time-series datasets or equivalent methods for classifying data. Some knowledge of forecasting techniques based on historical time-series data i.e. persistence or rolling-window forecasts. A willingness to travel nationally and internationally. It is expected that the successful candidate will visit India at least once during the project

Deadline: April 23, 2018 | Published: March 28, 2018   18:37              

Department: Science
Workload: 100%
Duties: The Beamline Scientist will work closely with the Principal Beamline Scientist in the continuing development of the beamline including design, procurement, construction, commissioning of upgrades as well as ongoing user support. In particular, the Beamline Scientist will take an active role in developing new techniques for serial sample delivery at I24, Diamond and elsewhere with a particular focus on exploitation and implementation of the serial techniques both at synchrotrons and X-ray free electron laser (XFEL)s. The successful candidate will be expected to develop an internationally competitive research program in methods development or structural biology that complements the research and development activities within the MX village
Minimum Requirements: Experience of macromolecular crystallography data collection at a synchrotron. Proven ability in macromolecular crystallography. 3 years postdoctoral or equivalent experience. Demonstrated track record in crystallography or synchrotron radiation related research. Commissioning and operation of macromolecular crystallography X-ray equipment and instrumentation. Experience with use of X-ray microbeams and/or serial crystallography. Appropriate PhD degree or equivalent qualification or experience

Deadline: April 30, 2018 | Published: March 28, 2018   15:28              

Department: Oxford Centre for Diabetes Endocrinology and Metabolism
Duration: 2 y        Workload: 100%
Duties: The principal focus of this work will be related to the detection and functional characterisation of genetic variants associated with type 2 diabetes and related traits, including the complications of diabetes. In this post, you will provide leadership in developing and implementing a wide range of statistical and bioinformatics approaches within a multi-disciplinary team. The post involves responsibility for the integrated analysis of multiple, complex data sets to which we have access (including genetic, epigenomic, proteomic, metabolomic, physiological and clinical data), to address questions of mechanistic inference and translational value
Minimum Requirements: PhD or equivalent degree in a relevant scientific subject with extensive, relevant, experience as a postdoctoral research in academia, biotech, or pharma. Demonstrable experience in the analysis of large-scale, highly-dimensional scientific data, exome/whole genome sequencing and sequence-based functional assays (e.g. RNA-Seq, ATAC-Seq). Experience in the integration of diverse large-scale datasets, understanding of the key biological systems perturbed in type 2 diabetes. Highly proficient in the use of programming and scripting languages (Unix, R, PERL, Python). Strong publication record for your career stage, proven ability to supervise staff and students and experience of developing scientific techniques and/or computational pipelines
Preferred Requirements: Experience in network analysis and deep-learning approaches would be desirable

Deadline: April 23, 2018 | Published: March 27, 2018   18:38              

Duration: 3 y        Workload: 100%
Duties: POETS - Partially Ordered Event Triggered Systems - is a new form of computing technique, made possible today by the proliferation of conventional cores at negligible cost, and the massive capabilities of programmable hardware (FPGAs). You will perform research in the area of high-performance computer system design. The underlying challenges include the definition of an effective massively parallel system and mapping it onto the array of compute nodes provided by the POETS platform. This specifically involves development of methods for mapping complex applications represented as graphs into compute nodes and internal communication
Minimum Requirements: You will possess skills necessary to carry out research and develop new techniques for verification and simulation of complex hardware-software system at arbitrary abstraction levels. This includes the development of efficient models of POETS compute nodes, its communication networks and software, application of innovative verification methods including hardware-in-the-loop and parallel simulation as well as suitable optimisation techniques such as population-based optimisation methods that lend themselves naturally to massively parallel implementation. You will have a PhD or equivalent professional qualifications and experience in electronics, computer science, mathematics or physics

Deadline: April 25, 2018 | Published: March 27, 2018   12:32              

Department: Public Health and Primary Care
Workload: 100%
Duties: The successful candidate will be involved in statistical analyses of cardiovascular outcomes and risk factors using multi-omic data, including genetic, proteomic, metabolomic, transcriptomic, and metagenomics data. The aims of this work are to identify causal variants and pathways for cardiovascular diseases, and prioritise them for follow-up in population-based cohorts with linked electronic health records to ultimately to translate these findings into clinical practice. The selected candidate will work with an interdisciplinary team of scientists, bioinformaticians and statisticians at the Cardiovascular Epidemiology Unit (CEU)
Minimum Requirements: PhD in one of the following subjects - Systems Biology, Bioinformatics, Statistics, Biostatistics, Statistical Genetics, Mathematics or similar or have equivalent experience. Experience working with multi-omic data types, including quality control and statistical analysis. Experience with inference and analysis of networks for analysis of multi-omic data. A sound understanding of statistical concepts, ideally in relation to genetics. Strong quantitative (in silico) analysis skills using statistical programming packages such as R. Experience of statistical method development. High level report writing and presentational skills

Deadline: April 29, 2018 | Published: March 26, 2018   11:19              

Duration: 1 y        Workload: 100%
Duties: The Large Client Solutions Portfolio Manager will be an integral part of the Portfolio Management Team, and will be responsible for designing and managing bespoke solutions for our largest clients. These solutions range from liability matching overlays to client specific, multi-asset return-seeking portfolios
Minimum Requirements: Substantial experience within an investment environment (e.g. investment consulting or asset/investment management). An understanding of institutional investors’ objectives and strategies. Some experience and understanding of investment guidelines and associated legal documentation. Good at building and sustaining internal and external relationships. Exposure to manager research process of benefit. Degree qualified - a strong undergraduate degree majoring in Accounting, Actuarial Studies, Business, Economics, Engineering, Mathematics, Science or similar discipline is essential
Preferred Requirements: Exposure to large asset transitions desirable. CFA, CAIA, Actuarial qualifications preferred, or Masters equivalent

Published: March 24, 2018   20:42              

Workload: 100%
Duties: Work as part of a team participating in managing projects. Liaise with investment managers to collate information, coordinate on-site visits and schedules. Review documentation provided by investment managers. Lead on-site visits and produce written reports on investment managers. Assist with team planning and work load allocation. Contribute to the assessment of investment managers using Mercer. Sentinel’s framework incorporating Mercer Sentinel's latest house views as appropriate. Contribute to Mercer Sentinel’s intellectual capital through market research and process innovation
Minimum Requirements: University level education or equivalent. Professional qualification (Actuarial, ACA, ACCA, CFA or equivalent) – preferential requisite. In depth understanding of investment manager operations and market participants. Significant experience in a similar operational due diligence or operational risk role. Knowledge of operational risk frameworks across the Mercer universe of asset classes, including equity and fixed income, hedge funds, fund of funds, private equity, private debt, real estate and infrastructure. Thorough knowledge of Microsoft Office applications (Word, Excel, PowerPoint)

Published: March 24, 2018   19:08              

Department: Computer Science
Duration: until December 2020        Workload: 100%
Duties: We are looking for an excellent post-doctoral candidate to conduct high-quality research within the following key technological aspects: • the design and development of QR cryptographic primitives and algorithms (symmetric crypto, asymmetric crypto and privacy-protecting primitives such as Direct Anonymous Attestation (DAA)) suitable for inclusion in a TPM; • the security validation of the implemented QR algorithms. This comprises of all activities that aim at demonstrating the security qualities of the specified and implemented QR algorithms; • the provision of run-time risk assessment and vulnerability analysis methodologies of the whole QR TPM-based system
Minimum Requirements: We are looking for applicants who hold, or are near completion of, a PhD in a relevant subject. (Relevant professional experience may be considered.) The successful applicant will: (i) demonstrate experience and knowledge of applied cryptography and trusted computing technologies, (ii) exposure to theoretical cryptography (in particular to simulation-based and code-based security proofs), and interest in the application of formal methods to security and cryptography, (iii) and a solid foundation in risk assessment and vulnerability analysis for cyber-physical systems
Preferred Requirements: Good implementation skills (including native code), and either practical experience or a strong theoretical foundation in formal verification are also desirable

Deadline: May 20, 2018 | Published: March 24, 2018   17:08              

Department: Computer Science
Duration: 2+ y        Workload: 100%
Duties: The successful candidate will investigate the question which search heuristic is the most appropriate for the purpose of software specialisation using GI and take responsibility for key components of the research, including the selection of research questions, development of new approaches, and preparation of papers for publication
Minimum Requirements: The successful candidate will demonstrate expertise in computational search heuristics. We will expect you to be a self-motivated individual with the ability to take responsibility for key components of the research. You should also be comfortable working in a collaborative and interdisciplinary environment. You should have (or about to be awarded) a PhD in a relevant area, software engineering or evolutionary computation, research experience in search heuristics, strong programming skills, and publication track record in relevant, peer-reviewed venues

Deadline: April 22, 2018 | Published: March 23, 2018   13:47              

Department: Political Science
Duration: 6 m        Workload: 20%
Duties: Main duties of the post include being the seminar leader for four seminars per week, generating weekly workshops, providing demonstrations, responding to student’s questions in an online forum and answering questions for material presented in lecture. The Teaching Fellow will be expected to first mark assignments, exam and essay scripts, (in line with the Department’s procedures, at the appropriate times during the academic session) and are expected to attend the weekly lecture given by the course tutor and be available for office hours each week as required
Minimum Requirements: Applicants must a hold or be in the process of submitting a PhD or be currently enrolled in a PhD programme in politics or an appropriate discipline. The applicant must have excellent working knowledge of R and R Studio and knowledge of basic social science statistics, (including panel data models and limited dependent variable models). The ability to communicate clearly, both orally and in writing, with students, academic and administrative staff at all levels is essential. Previous experience of teaching quantitative research methods at the postgraduate level would be desirable

Deadline: April 22, 2018 | Published: March 23, 2018   13:45              

Department: Computer Science
Workload: 100%
Duties: UCL was awarded an EPSRC Interdisciplinary Research Centre on Early Warning Sensing Systems for Infectious Disease. This is a £11M, five year collaborative research programme. The purpose of this post is to investigate how to (i) utilise the vast amounts of web-accessible information sources to actively monitor and map emerging infections in real-time, integrating with current surveillance practices, and (ii) utilize web-based dissemination mechanisms such as Twitter and Facebook for purposes on online non-pharmacological interventions
Minimum Requirements: Applicants should have a PhD (or will shortly be assessed for a PhD level qualification) in computer science or related discipline. We welcome applications form those with knowledge of web programming, databases, visualization tools and in machine learning or big data analytics

Deadline: April 22, 2018 | Published: March 23, 2018   13:37              

Department: Breast Cancer Research
Duration: 2 y        Workload: 100%
Duties: 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

Published: March 20, 2018   23:55              

Duration: 3 y        Workload: 100%
Duties: We are looking for a postdoctoral Research Fellow to work on our research project, Mathematical Analysis of Casimir Interactions. You will contribute to our project aim, which is the full mathematically rigorous analysis of these local spectral quantities. This will include asymptotic expansions with rigorous error estimates, representation formulae using scattering theory and perturbation theory. One of the applications of such an analysis is to make Casimir force computations rigorous and numerically stable. In a second stage of the project, you will be involved in seeking to implement stable numerical procedures for the computation of Casimir interactions in the existing software package BEM++
Minimum Requirements: You will have a PhD in Mathematics or a closely allied discipline, together with knowledge of analysis, spectral theory, spectral geometry, or rigorous numerical analysis, although knowledge of rigorous quantum field theory is not required. You will have a willingness to engage in inter- and intra-disciplinary research, working both independently and with a larger team of researchers

Deadline: April 30, 2018 | Published: March 19, 2018   16:06              

Duties: Develop expert-level knowledge of actuarial modelling, ALM; Work and gain a deeper understanding of European insurance regulations including Solvency II and IFRS17; Support consultants/senior managers to provide expert, timely, efficient and professional delivery of services to their clients; Work with clients in implementing creative and innovative solutions; Explore and implement enhancements to financial reporting and analytics capabilities based on both existing and new technologies; Maintain timely and effective communication with clients and internally
Minimum Requirements: Experience with actuarial modelling; Strong background in financial reporting systems (MCEV, EV, EEV, IFRS17, US GAAP) and familiarity with latest technology and Data Science/AI; Experience/knowledge of Reserving; Good programming/database familiarity (VBA, SQL, R); Good actuarial software knowledge, either in Prophet, Moses; Good progress with actuarial exams and desire to get qualified; Have strong technical, analytical and actuarial skills

Published: March 17, 2018   01:34              

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