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Department: Chemistry
Duration: 5 y        Workload: 100%
Duties: The post will act as a theme leader in the area of algorithms and machine learning for functional materials design. You will pro-actively progress this research theme, using your own initiative and knowledge and through discussion with the Centre Director, and the broader community of researchers in the Centre. You will be expected to perform research at internationally leading level and to ensure that other researchers within the theme (particularly PhD students) are working in an optimal way and communicating across boundaries
Minimum Requirements: You should have a PhD in Computer Science, Mathematics or a related discipline with a commitment to developing collaborative research within or across the academic networks, external partners and stakeholder groups. Knowledge of the cutting edge of algorithm design and/or machine learning techniques are essential. Application of such techniques to chemical or materials problems would be an advantage, but we will also consider applicants with pure Computer Science or Mathematics backgrounds who are keen to apply their knowledge to new problems

Deadline: March 16, 2018 | Published: January 19, 2018   17:55              

Department: UCL Centre for Advanced Spatial Analysis (CASA)
Workload: 100%
Duties: The Bartlett Centre for Advanced Spatial Analysis is inviting applications for a full time and permanent academic position in GeoSpatial Artificial Intelligence/Machine Learning. The post holder will carry out research, teaching and associated administration within the department in the area of GeoSpatial Artificial Intelligence and/or Machine Learning applied to urban and regional contexts, and develop, recruit to, lead and teach on existing and new courses being developed in the department, as required
Minimum Requirements: A PhD in a related area is essential, together with a strong publication record and evidence of effective and successful curriculum design, development and delivery. Experience of applying for research grant funding from external funding bodies is also required, with an extensive track record of successful applications being essential for the Senior Lecturer role

Published: January 19, 2018   15:25              

Department: UCL Institute of Education
Duration: 2+ y        Workload: 100%
Duties: The post will develop a strategic understanding of the issues and opportunities offered by longitudinal research in a development context, and help plan and execute appropriate subsequent activities with funders to strengthen capacity in this area. The post holder will also play an active role in CLOSER’s UK activities through, for example, research activity, communication and impact or assistance with training and capacity building. The post holder will also carry out high-quality research based on quantitative analysis of longitudinal studies in a development context
Minimum Requirements: Candidates will hold a PhD in a quantitative biomedical or social science discipline, (such as but not exclusively: behavioural sciences, clinical medicine, demography, economics, education, epidemiology, geography, political science, psychiatry, psychology, public health sciences, social policy, sociology, statistics, survey methodology) or equivalent experience. Candidates will also have an excellent understanding of at least one area of biomedical and/or social science research (eg health, education, employment, poverty and inequality, families and parenting, children’s issues, ageing) and/or data science

Deadline: February 18, 2018 | Published: January 19, 2018   15:23              

Workload: 100%
Duties: The role will involve interacting with Code Physicists and System Administrators to contribute to a variety of support, research and development activities within all levels of HPC software stack. This role would suit candidates with computer science or scientific computing background. Ideally you will have a proven track record of working in a scientific environment with good exposure to scientific computing. You will have the opportunity to work and collaborate with universities in the UK and be encouraged to disseminate your results internationally through conference attendance and journal publications. We are interested in hearing from candidates at various stages of their careers as we have a number of opportunities
Minimum Requirements: Degree or equivalent experience in computer science, engineering, applied maths, physics or related discipline with sufficient and demonstrable software development experience. Extensive collaborative programing skills in at least one programming language (C/C++/Java/Fortran). Experienced in modern version control and other software engineering practices. Experience in optimisation of scientific applications on modern multi-core architectures. Experienced in parallel programming techniques (MPI/OpenMP/CUDA/OpenACC/OpenCL). Extensive experience of working with open source software. Experience of working in Unix/Linux environment
Preferred Requirements: PhD in computer science, engineering, applied maths, physics or related discipline with sufficient and demonstrable software development experience. Experience in scripting languages – e.g. bash, python. Debugging and profiling experience with industry standard parallel debuggers profilers such as TotalView, Allinea DDT and VTune. Research experience with academic/industry publications. Contributor to open source software projects. Proven experience as a technical leader in a chosen field. Experience of writing funding applications/business cases

Published: January 19, 2018   14:43              

Department: Statistical Science
Duration: 4 y
Duties: The following projects are available: Analysis methods for multivariate random fields. Covariate dependent clustering via normalised completely random measures. Deep learning of gaze patterns for emotion recognition. Image super-resolution for remote sensing. An integrated Bayesian approach in air pollution and health studies: linking exposure, health and economic evaluation. Methods for high dimensional point process analysis with application to forest ecology. Slab ocean model emulation. Space prediction of earthquakes. Statistical learning of cancer treatment outcome. Statistical learning of vascular stem cells. Stochastic models in genetics: using DNA sequence data to learn about population divergence and speciation
Minimum Requirements: The requirement for admission to the MPhil/PhD in Statistical Science is a 1st class or high upper 2nd class Bachelor’s degree, or a Master’s degree with merit or distinction, in Mathematics, Statistics, Computer Science, or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable

Deadline: March 31, 2018 | Published: January 19, 2018   13:38              

Department: William Harvey Research Institute
Duration: 2, 5+ y        Workload: 100%
Duties: As a member of our team, you will contribute to development of resources for variant interpretation and clinical management of cancer susceptibility genes used by clinicians and clinical scientists in the UK NHS as well as UK researchers. You will also contribute towards analyses of large population data to inform classification and interpretation of genomic variants as well as collaborative data projects working with international groups (ENIGMA, INSIGHT) and the PHE Cancer Registration service (NCRAS)

Deadline: January 31, 2018 | Published: January 19, 2018   05:28              

Department: Physics
Duration: Until 31 December 2018        Workload: 100%
Duties: Develop and deliver high quality teaching and learning support in a variety of settings, such as tutorials, laboratory classes, project supervision and lectures, that contribute to providing a high quality learning environment and physics curriculum, and enables students to achieve their potential. Employ innovative practice in the design and delivery of high quality teaching and high quality learning support, and engagement in the design of excellent teaching programmes
Minimum Requirements: Candidates will have a good first degree in the discipline as well as a PhD (which may be completed or close to completion) or equivalent demonstrable practitioner experience and skills which may include appropriate certification and/or membership of a relevant professional body. Experience, skills and/or achievements that demonstrate (experience of or) the potential to deliver high quality teaching. Experience, skills and/or achievements that demonstrate (experience of or) the potential to participate in the collegial/administrative activities of an academic department and/or discipline
Preferred Requirements: Experience, skills and/or achievements that demonstrate (experience of or) the potential to engage in administration related to teaching. Candidates may be or should have the ability to attain the rank of Fellow of HEA

Deadline: February 15, 2018 | Published: January 18, 2018   21:43              

Duties: We are seeking an enthusiastic software engineer to join our deep learning development team. You will be joining a team of developers who are responsible for all aspects of deep learning, including algorithm design, usability, maintenance and improvements to the software architecture, and performance optimization for CPU, GPU and multi-GPU environments
Minimum Requirements: A bachelor's degree and 3 years of professional work experience (or a master's degree) is required. A Master’s degree and 4 years of professional work experience, or a PhD degree is required. A good degree in Mathematics, Statistics, Engineering, Physics, Computer Science or a related discipline. Experience in implementing mathematical algorithms. Some experience with Deep Learning techniques. Object-oriented programming experience in a language like C++, Java, C#, MATLAB, or Python
Preferred Requirements: Experience in statistics, data analytics, or other related computational mathematics experience. Strong communication skills. Experience with technical computing languages such as MATLAB or R

Published: January 18, 2018   14:54              

Department: Computer Science
Duration: 1 y
Duties: We are seeking to recruit a postdoctoral research fellow to work in the area of designing algorithms for analysing large data sets
Minimum Requirements: You will possess a PhD or an equivalent qualification in Computer Science or a very closely-related discipline (or you will shortly be obtaining it). You should have a strong background in one or more of the following areas: randomized and approximation algorithms; communication complexity and lower bounds; streaming or sublinear algorithms

Deadline: February 14, 2018 | Published: January 17, 2018   19:03              

Department: Computer Science
Duration: 2 y
Duties: We are seeking to recruit a postdoctoral research fellow to work in the area of machine learning and spatial statistics. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, experimental design and issues in spatio-temporal inference such as non-stationarity and non-separability
Minimum Requirements: You will possess a PhD or an equivalent qualification in Statistics or Computer Science or Applied Mathematics (or you will shortly be obtaining it). You should have a strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning

Deadline: February 14, 2018 | Published: January 17, 2018   18:59              

Department: Health Sciences
Duration: until 28 January 2019        Workload: 100%
Duties: You will contribute, as a team member, to developing and carrying out research on the Duchenne UK HERCULES Project (“Data analysis project to map clinical trial endpoints and natural history data to clinical outcomes for patients with Duchenne Muscular Dystrophy”). The post will involve the development and application of statistical methods using clinical trial and registry data
Minimum Requirements: As the ideal candidate you will have a degree in a maths/statistics, expertise in biostatistics/medical statistics/applied statistics (including survival analysis methods) and good knowledge of statistical programming (preferably in Stata or R)

Deadline: January 30, 2018 | Published: January 17, 2018   18:51              

Department: Radcliffe Department of Medicine
Duration: 3 y
Duties: The successful candidate will play a key role in a new strategic programme in Computational Biology and Biomedical Data Science Training within the Centre for Computational Biology in the MRC Weatherall Institute for Molecular Medicine. The programme’s mission is to provide substantial expertise and to add value to ongoing research across the University of Oxford by training and mentoring biomedical scientists in data science and computational biology skills, methods and working practices
Minimum Requirements: You will hold a PhD in a quantitative discipline e.g. computational biology, bioinformatics, physics, statistics or related discipline. Previous experience in organising and delivering data science/computational biology training is essential. You will have experience of working in a Linux operating system and proficient in a least one programming language (e.g. Python, R). Excellent interpersonal and communication skills, with the ability to convey concepts to other scientists in different fields of research are essential. Experience in computational genomics is highly desirable

Deadline: February 19, 2018 | Published: January 17, 2018   14:37              

Workload: 100%
Duties: 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. Complete testing in a timely manner, raising defects as necessary
Minimum Requirements: A serious and professional attitude towards compliance of regulatory submissions with an eye for attention to detail in order to support accuracy. Ideally have passed most of the actuarial exams and be actively studying towards qualification. Degree in Mathematics, Actuarial Science, Economics or equivalent. A high level of numeracy skills and an analytical approach to work is essential. Excellent team-working, communication and interpersonal skills are also required. Professional manner. Enthusiastic, positive attitude. Able to cope with change

Published: January 17, 2018   12:32              

Duration: 3 y        Workload: 100%
Duties: The Vertebrate Annotation team are looking to recruit a highly motivated bioinformatics developer to join the Ensembl Genebuild project at the European Bioinformatics Institute (EMBL-EBI), located on the Wellcome Genome Campus, near Cambridge in the UK. Ensembl Genebuild produces gene annotation for vertebrate species, including the reference gene sets for human and mouse. We are one of the world’s leading groups for identifying the location, structure and tissue-specific expression of genes and their transcripts for large numbers of vertebrate species. Your main responsibilities will involve running our large-scale annotation system to produce gene annotation
Minimum Requirements: You should hold an MSc, PhD or equivalent experience in Computer Science, Bioinformatics, Genetics or related fields and be able to write, understand and maintain complex code. You will also have domain experience of eukaryotic genome annotation, the biology of gene expression, current methods for DNA sequencing and sequence alignment. Proficiency in object-oriented programming and developing software in a primarily Unix-based environment is essential
Preferred Requirements: Previous experience of processing large biological data sets in a production environment would be advantageous, including an understanding of compute clusters, pipeline workflows, software design and automation. Evidence of working in a dynamic, team-based environment or contributing to a large, shared code-base is desirable. Familiarity with compute clusters and development tools such as Git would be an advantage. In addition, experience in developing computationally efficient solutions, working on a large but continually-evolving codebase, and familiarity with relational databases would be an advantage

Deadline: February 25, 2018 | Published: January 16, 2018   18:26              

Department: Surrey Clinical Research Centre
Duration: 1 y        Workload: 60%
Duties: We are looking for a clinical data manager to be involved in all aspects of data management within clinical trials, including protocol review, eCRF design, database setup, query resolution, QC of data and other general activities. The successful applicant will work closely with the other members of the data management team throughout the studies to assist in the successful and prompt closing of studies. The successful applicant will be responsible for ensuring that data is managed effectively and efficiently to the appropriate SOPs, regulations and guidelines governing clinical trial data
Minimum Requirements: The successful candidate will have a background in clinical research with at least two years data management experience in a clinical research environment and a good working knowledge of ICH GCP. The role requires a sound knowledge of IT in particular MS Excel and Word and the ability to prioritise in order to meet demanding and often conflicting deadlines

Deadline: February 2, 2018 | Published: January 16, 2018   17:35              

Department: Computer Science
Duration: 2+ y        Workload: 100%
Duties: The Research Associate will contribute to the design of a range of experiments in relation to the EuroPOND project, will be involved in a range of data analysis, computational and statistical modelling, and software development and will contribute to the planning and documentation of the project
Minimum Requirements: Candidates will require a PhD degree in Physics/Maths/Stats/Computer Science, knowledge of relevant research methods together with experience of working in a research environment. Good verbal and written communication skills and time management skills are essential

Deadline: February 15, 2018 | Published: January 16, 2018   14:58              

Department: Computer Science
Duration: 2+ y        Workload: 100%
Duties: The successful candidate will research the security, systems, usability, and economic aspects of distributed ledgers (e.g., blockchains), with the goal of making them more versatile, scalable, and privacy-friendly. The successful candidate will also support the supervision of research students, coordinate and advise our industrial user partners, and ensure the timely delivery of various research outputs
Minimum Requirements: We expect candidates to have a PhD in computer security, cryptography, distributed systems, or a related field

Deadline: February 12, 2018 | Published: January 16, 2018   14:34              

Department: Department of Earth Sciences
Duration: 2+ y        Workload: 100%
Duties: The candidate will join the international SIPN team to advance seasonal forecasting using statistical methods and development of new products. Feedback from SIPN members has identified a number of variables that are key for improving sea ice predictions: sea ice thickness, surface roughness, melt pond fraction, floe size distribution and snow depth. CPOM UCL is leading the way with sea ice thickness and snow depth products, and wants to expand to other sea ice parameters needed to improve seasonal forecasts
Minimum Requirements: Candidates will have a PhD, or thesis submitted subject to examination, in physics, meteorology, oceanography or a related field. Experience in remote sensing and/or climate modelling, and a good knowledge of climate physics and dynamics with a focus on the atmosphere and/or sea ice is essential. Excellent knowledge of scientific programming and good English skills are also essential. The candidate will expected to disseminate results in peer-reviewed scientific journals and at international conferences

Deadline: February 15, 2018 | Published: January 16, 2018   13:48              

Department: Institute of Cognitive Neuroscience
Duration: 1+ y        Workload: 100%
Duties: They will be expected to carry out research in the area of sensorimotor plasticity in one-handed individuals. The post holder will be responsible for developing new state of the art functional imaging protocols (fMRI) in combination with psychophysical and motor paradigms, their implementation, data collection and analysis, writing and publishing in international peer-reviewed journals
Minimum Requirements: Applicants should have received a PhD in Neuroscience, with evidence for distinction, on topics closely relating to plasticity in the somatosensory system. They should have previous experience working with amputees, and ideally research experience relating to hand and face representations. Expertise in designing and running fMRI experiments (at 3 Telsa and at 7 Telsa), and analysing fMRI data (e.g. GLM and MVPA analysis) is essential. Furthermore, expertise with a range of psychophysical tasks assessing somatosensory perception are required, as well as good programming skills and software knowledge. Experience with motor assessments and movement kinematic analysis are desired

Deadline: January 29, 2018 | Published: January 16, 2018   13:43              

Department: School of Medicine
Workload: 100%
Duties: The Centre for Trials Research (CTR) tackles the big diseases and health concerns of our time, including growing resistance to antibiotics, early cancer diagnosis and how to eliminate health inequalities. It achieves this by forming partnerships with researchers and building lasting relationships with the public, whose participation is essential for the success of studies. An exciting opportunity has arisen to join the CTR, which is staffed by a range of experts, including statisticians, clinicians, trial managers, data managers, safety officers and quality assurance officers. These staff work with other research groups to develop trials from the basic idea through to publication in high-quality journals and disseminating the final results
Minimum Requirements: For the grade 6 post we are looking for someone who can be responsible for overseeing the statistical/scientific aspects of a range of trials in the portfolio of the CTR. Educated to postgraduate degree at PhD level in a related subject area (or with relevant experience) applicants should have experience in statistical methods and have knowledge of clinical trials, being prepared to oversee trial development as part of an integrated trials group. While for the grade 5 post we are looking for someone educated to graduate or MSc level in a subject with substantial statistical content

Deadline: February 1, 2018 | Published: January 16, 2018   13:38              

Department: School of Mathematics
Duration: 2 + 1 y        Workload: 100%
Duties: Positions are funded by an EPSRC Programme grant “Chemistry and Mathematics in Phase Space” (CHAMPS), which seeks to design new methods and tools to cope with the explosion in dynamical information coming out of modern experiments and classical and quantum molecular dynamics simulations in chemistry and chemical biology. To date, multidimensional datasets (e.g., from molecular dynamics simulations) tend to focus only on the 3n-dimensional configuration-space data. We aim to utilize methods in nonlinear dynamics and machine learning to cope with 6n-dimensional phase-space representations of molecular dynamics datasets
Minimum Requirements: We welcome applicants who hold or will soon hold a PhD in subject areas that are relevant to the larger programme aims, including mathematics, chemistry, physics, computer science, or related areas

Deadline: February 28, 2018 | Published: January 16, 2018   13:28              

Department: Computer Science
Duration: 2 y        Workload: 100%
Duties: The key responsibility of this post holder is to develop machine learning/deep learning methods for image segmentation and biomarker quantification for disease inference. Un-supervised and supervised machine learning methods are expected to be investigated and integrated, which can be applied to different image modalities and medical applications (e.g. histopathology images for colorectal cancer and multi-parametric MRI for chronic kidney disease). The post holder has a unique opportunity to work within a multi-disciplinary team that funded by NIHR Biomedical Research Centre, MRC and Pathology Node
Minimum Requirements: We are seeking a talented, energetic and highly motivated individual with a PhD (or nearing completion) in the areas of medical image analysis, computer vision, machine learning/deep learning or a related discipline. Applicant who has experience in deep learning networks (e.g. CNN, RNN, GANs, etc) is encouraged to apply. He/she is expected to have very strong programming skills in Python/Matlab/C++

Deadline: January 29, 2018 | Published: January 16, 2018   13:28              

Department: Psychiatry
Duration: 1 y        Workload: 100%
Duties: Applications are invited for a postdoctoral researcher to work on a project developing language processing techniques that are effective for the assessment of mood. You will be analysing transcribed and raw longitudinal speech and/or multimodal data, with the aim of developing techniques that are effective for the assessment of mood. You will demonstrate the value of such approaches by analysing existing data sets, focusing on bipolar in particular, and providing proof of concept for the development of automated methods for the assessment of mood and recurring patterns
Minimum Requirements: You will have or be close to completion of a PhD in natural language processing, machine learning, maths or related discipline. You will be a strong data scientist with significant experience in experience in Natural Language Processing, and/or processing of speech and multimodal data, as well as complementary mathematical skills. You will need excellent data analytic skills and working knowledge of programing language (e.g. Python)

Deadline: February 16, 2018 | Published: January 16, 2018   13:19              

Duration: 3 y        Workload: 100%
Duties: To develop meta-analysis methods for identifying gene expression signatures and linking these to disease phenotypes. To investigate links between rare diseases and complex diseases with similar phenotypes, using expression data as an intermediate phenotype. You will work closely with our pharma collaborators in Open Targets initially to identify gene signatures for Alzheimer's disease progression phenotypes, but the approach will also be extended to other diseases. Your methods will directly contribute to the data production pipelines of the Expression Atlas, which is one of EMBL-EBI’s core open resources
Minimum Requirements: PhD degree in Computational Biology, Bioinformatics, Computer Science or Mathematics. Bioinformatics data analysis methods development. Working in a unix-based environment and high performance computing cluster environment. Gene expression data analysis (NGS and microarrays)
Preferred Requirements: Background in statistical methods development. Background in working with data from age-related neurodegenerative diseases

Deadline: February 15, 2018 | Published: January 16, 2018   13:07              

Department: Non-Communicable Disease Epidemiology
Duration: until 31 December 2020        Workload: 50%
Duties: We are seeking an enthusiastic, talented epidemiologist to work on a new international project on children, adolescents and young adults with cancer, within the Cancer Survival Group in the Faculty of Epidemiology & Population Health. You will be expected to conduct high-quality research under supervision of the PI, to contribute to scientific publications and attend national and international conferences to disseminate research findings
Minimum Requirements: You will have a master’s degree and some research experience in epidemiology and/or medical statistics, preferably in cancer or child health epidemiology. You will have a good understanding of the concepts of epidemiology and the capacity to learn and implement complex analytic approaches in STATA
Preferred Requirements: Experience in dealing with complex data sets is essential and experience handling population-based cancer registry data would be desirable

Deadline: February 1, 2018 | Published: January 15, 2018   13:32              

Duration: 3 y        Workload: 100%
Duties: TREATS (Tuberculosis Reduction through Expanded Anti-retroviral Treatment and Screening for active TB) project consists of 4 linked studies that will provide definitive cluster-randomised evidence of the effect of a household-level combined HIV and TB prevention intervention on the burden of TB at population level. These studies are nested within the ongoing HPTN071 (PopART) trial, the largest ever trial of a combination HIV/TB prevention intervention being conducted in Zambia and South Africa. The post-holder will be expected to travel frequently to Zambia and South Africa and will be responsible for assisting with the overall coordination of the study consortium
Minimum Requirements: MSc in Epidemiology or a related field such as public or tropical health, substantial practical experience working in the field of TB, practical experience in the design and management of epidemiological studies, excellent publication record commensurate with experience, practical experience of analyses of data from epidemiological trials and/or studies. The post-holder must demonstrate academic excellence and a commitment to pursuing a career as an academic with an interest in global health

Deadline: February 11, 2018 | Published: January 15, 2018   13:32              

Department: Centre for Evolution and Cancer
Duration: 3 y        Workload: 100%
Duties: The project involves the study of clonal evolution in childhood cancers over time during treatment using longitudinal sampling. The successful candidate will be responsible for analysing the data based on whole-exome, whole-genome and targeted next-generation sequencing, and designing mathematical and statistical models to interpret the results in light of tumour evolution. The ultimate the aim is understanding fundamental underlying dynamics of progression and treatment resistance in childhood malignancies. The responsibilities include bioinformatics analysis of next-generation sequencing data and, crucially, the development of mathematical and statistical models of tumour evolution
Minimum Requirements: Applicants should have a good first degree in mathematics, computer science, statistics or similar and a PhD in computational modelling, bioinformatics or similar. Applicants must have experience with modelling dynamical systems and have a good publication record
Preferred Requirements: Experience in developing statistical models for data analysis is highly desirable. Having worked with large scale genomic datasets such as The Cancer Genome Atlas would also be highly desirable

Deadline: February 11, 2018 | Published: January 15, 2018   10:33              

Department: Great Ormond Street Institute of Child Health
Duration: 4 y        Workload: 100%
Duties: We are looking for a researcher with an excellent track record and experience in bioinformatics and/or biostatistics. The postholder will be required to conduct and lead research in the area of bioinformatics and biostatistics of paediatric and/or adolescent disease, with a strong focus on rare diseases, and some focus specifically on paediatric and adolescent rheumatological diseases
Minimum Requirements: A PhD or equivalent in a relevant subject eg biological sciences, natural sciences, computer science, mathematics or biostatistics is essential. Experience of handling large and complex data sets eg GWAS/genotype, transcriptome, proteome, metabolome, large clinical datasets or other related/similar data, and publishing the results, will be essential. Experience of training and mentoring others would be desirable, as would successful previous applications for fellowships/grant funding

Deadline: February 12, 2018 | Published: January 14, 2018   23:51              

Department: Centre for Primary Care and Public Health - Blizard Institute
Duration: 1 y        Workload: 100%
Duties: The post holder will establish and gather data from two cohorts of primary school children and parents in central London and Luton to evaluate the impact of air pollution on lung growth and respiratory health. They will be based in the Centre for Primary Care and Public Health at Whitechapel and will be expected to travel to the two study sites
Minimum Requirements: The successful candidate will have a PhD in public health or a health research related field (e.g., social science, physiology, psychology, medical sociology, epidemiology), with strong research skills, and an understanding of how to conduct complex health interventions within sensitive contexts. Experience of spirometry and of studies evaluating children’s respiratory health will be an advantage

Deadline: February 9, 2018 | Published: January 14, 2018   17:06              

Department: Research Department of Neuroscience, Physiology and Pharmacology
Duration: 1+ y        Workload: 100%
Duties: Applicants are invited for a Research Associate position in a leading neuroscience research group in the Division of Biosciences. The post holder will devise new experiments using CCD, confocal and 2 photon imaging, electrophysiological, calcium imaging, histological and mathematical techniques to study how microglia and pericytes control blood flow in the brain, both in health and in pathological conditions
Minimum Requirements: The successful candidate will have a PhD (awarded or submitted) in a relevant subject area and have significant experience of the appropriate techniques, and a deep understanding of the topic of the investigation. The post holder will have proven knowledge of research techniques and methodologies specifically: studying microglia or pericyte function in the brain; obtaining and analysing imaging data on either microglia and neurons in brain slices, or blood vessels and blood flow in vivo; mouse microsurgery (e.g. brain slicing, tracheotomy, placement of catheters, craniotomy, cortical virus injections); 2-photon imaging of blood vessels; assessment of blood flow; and assessment of pericyte function. Experience of applying pathological manipulations such as those mimicking stroke or spreading depression and investigating the resulting changes in control of blood flow is essential. Candidates must also be experienced in use of imaging programmes such as Metamorph and/or ImageJ. Evidence o...

Deadline: January 25, 2018 | Published: January 14, 2018   13:38              

Duration: 3 y        Workload: 100%
Duties: The 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. 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. Provide training and advice for other group members including PhD students. Publish results in peer-reviewed journals.Take an active part in the academic activities of the LMS. Attend and contribute to journal clubs and seminar presentations
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: February 13, 2018 | Published: January 14, 2018   13:00              

Department: Centre for Haemato-Oncology
Duration: 4+ y        Workload: 100%
Duties: Applications are sought for a Bioinformatician or Computational Biologist to provide analytical support towards the analysis of mass spectrometry proteomics data
Minimum Requirements: Essential requirements for this post include experience in the analysis of proteomics datasets derived from mass spectrometry using a range of software and scripting languages. Experience managing biological databases would be an advantage. A demonstrated ability to communicate well, work within a team and maintain good laboratory records are also essential

Deadline: February 11, 2018 | Published: January 14, 2018   05:20              

Department: Chemistry
Duration: 3+ y        Workload: 100%
Duties: Applications are invited for a Research Associate position that will be based at HarwellXPS in Oxfordshire. HarwellXPS is the newly established National XPS Service for the UK, and is a collaboration between Cardiff University and UCL. The service will provide access to XPS instrumentation and expert advice on analysis for UK researchers in academia and industry
Minimum Requirements: The successful candidate must possess a strong background in photoemission spectroscopy and surface analysis, as well as the motivation to conduct their own research programme in addition to operating the XPS user service. Experience in collection and analysis of XPS data is essential, as is the ability to conduct training sessions for user groups as well as 1-on-1 training. Experience of vacuum system maintenance and other surface analysis techniques are desirable. The successful candidate will have a PhD in Chemistry, Physics, Materials Science or a related discipline, or about to be awarded a PhD

Deadline: February 13, 2018 | Published: January 14, 2018   05:12              

Department: Institute for Global Health
Duration: 6+ m        Workload: 38%
Duties: We are looking to appoint a part time, Research Assistant, who will be responsible for taking the lead on the development of the GACD Hypertension Research Programme End of Programme Report (EOPR), first draft to be completed by June 2018, final version by 30 August 2018. The EOPR intends to inform thought leaders, funding agencies, opinion and policy-makers of the evidence-base generated through the projects within this programme. The post holder may also be expected to present aspects of the report to a variety of audiences
Minimum Requirements: Candidates will have a postgraduate degree in a relevant subject area or equivalent skills and experience. Candidates must demonstrate the experience, skills and abilities set out in the attached Job Description. They will have a relevant degree for example: biological/life sciences, medicine or social sciences. They will have a knowledge and understanding of non-communicable diseases and the research environment. Quantitative and qualitative data design and analysis skills. Excellent interpersonal skills and the ability to develop good working relationships with colleagues, academics and senior officials and colleagues at all levels

Deadline: January 25, 2018 | Published: January 14, 2018   05:03              

Department: Computing
Duration: 3 y        Workload: 100%
Duties: We are seeking a bioinformatics or computing scientist to research and develop new approaches to integrating and mining information about drugs and their targets, as part of an exciting new European Union funded project, REPOTRIAL. Your role will be to work closely with the Newcastle and Munich teams to research and develop novel software systems that will dynamically integrate data. These systems will use a federated approach, to integrate data from a variety of different databases to form a knowledgebase that can be used to indicate opportunities for drug repurposing. You will also be involved in the development of an ontology based data model to support semantic data integration
Minimum Requirements: You will have a PhD awarded or nearing completion in bioinformatics or computing science. Experience in data management, modelling and semantic data integration are also essential. Experience in data modelling using ontologies is also required. Experience with bioinformatics software development is also highly desirable. Also required is experience in the development of interactive Web systems and human interface design. Experience in systems biology, drug development, clinical trials and bioinformatics workflows are also highly desirable

Deadline: February 12, 2018 | Published: January 13, 2018   21:38              

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

Deadline: January 21, 2018 | Published: January 13, 2018   21:36              

Duration: 1 y        Workload: 100%
Duties: Design and establish bioinformatic workflows and tools to process, analyse and visualise proteomic data (TMT, SILAC or iTRAQ as well as label-free quantification). Analyse the data in context of other internal or publicly available omics data such as protein-protein interaction networks, gene expression data including RNA-seq or disease networks and other functional data (e.g. biological pathways, GO terms, druggability/drug sensitivity) to identify new drug targets and guide design of experimental work. Contribute to the establishment of a LIMS to track and analyse proteomic data. Instruct and assist laboratory members in analysing their data and designing experiments. Provide bioinformatics input into project and funding proposals
Minimum Requirements: Demonstrable experience in the development of (e.g. web-based) interactive tools enabling bench scientists to mine, analyse, interpret, and visualise the data is essential. You will have a PhD in systems biology/pharmacology or related area with focus on bioinformatics and proteomic data analysis. A basic degree in cell and tumour biology, pharmacology or analytical chemistry/mass spectrometry with experience in disease network analysis is welcome

Deadline: February 9, 2018 | Published: January 13, 2018   18:03              

Department: Breast Cancer Research
Workload: 100%
Duties: We are seeking an experienced Cancer Bioinformatician to join Breast Cancer Research Bioinformatics Group in the Breast Cancer Now Centre. Our goal is to perform cutting-edge bioinformatics analyses and data-mining in collaboration with experimental investigators at the centre identifying new molecular markers of breast cancer. You will work among a team of inter-disciplinary bioinformaticicans who are experts in NGS-data analysis, machine learning and software development; and therefore offering unique training opportunities. Your work will focus on the development and validation of hypotheses, and implementation of stand-alone bioinformatics tools enabling discovery of molecular markers of breast cancer
Minimum Requirements: Applicants should hold a degree in a computational subject, have programming and scripting experience, and must have basic knowledge of biology. It is essential to hold a post-graduate qualification in bioinformatics/biostatistics/computational biology or have gained significant experience within bioinformatics/biostatistics role/s

Deadline: January 21, 2018 | Published: January 13, 2018   17:59              

Department: Nuffield Department of Clinical Medicine
Duration: 2 y        Workload: 100%
Duties: The main purpose of the post is to provide biostatistical expertise for a range of research questions being addressed using clinical and genomic data generated within the group. There will also be opportunities for the postholder to develop their own research portfolio within the overarching programme and goals of the group. There is no teaching commitment associated with the post (although this could be arranged if desired); however, the postholder will be expected to provide expert advice to other group members from different disciplines, that is, will be expected to take an active role in collaborative research
Minimum Requirements: To succeed in this post, you will have strong biostatistical skills, together with a keen interest in infectious diseases and antimicrobial resistance, an enquiring and flexible attitude and an interest in working collaboratively with researchers from different disciplines

Deadline: February 12, 2018 | Published: January 13, 2018   17:57              

Department: Breast Cancer Research
Duration: 2 y        Workload: 100%
Duties: Our goal is to perform cutting-edge bioinformatics analyses and data-mining in collaboration with experimental investigators at the centre identifying new molecular markers of breast cancer. Your work will focus on the development and validation of hypotheses, and implementation of stand-alone bioinformatics tools enabling discovery of molecular markers of breast cancer. The work will include application of existing tools and method development using in-house (as well as publicly available) next generation sequencing datasets such as Exome, Targeted and Whole genome sequencing and RNA sequencing datasets
Minimum Requirements: Applicants should hold a degree in a computational subject, have programming and scripting experience, and must have basic knowledge of biology. It is essential to hold a post-graduate qualification in bioinformatics/biostatistics/computational biology or have gained significant experience within bioinformatics/biostatistics role/s

Deadline: January 21, 2018 | Published: January 13, 2018   17:55              

Department: Clinical Studies
Duration: 3 y        Workload: 100%
Duties: The project involves the study of clonal evolution in childhood cancers over time during treatment using longitudinal sampling. The successful candidate will be responsible for analysing the data based on whole-exome, whole-genome and targeted next-generation sequencing, and designing mathematical and statistical models to interpret the results in light of tumour evolution. The ultimate aim is understanding fundamental underlying dynamics of progression and treatment resistance in childhood malignancies
Minimum Requirements: Applicants should have a good first degree in mathematics, computer science, statistics or similar and a PhD in computational modelling, bioinformatics or similar. Applicants must have experience with modelling dynamical systems and have a good publication record
Preferred Requirements: Experience in developing statistical models for data analysis is highly desirable. Having worked with large scale genomic datasets such as The Cancer Genome Atlas would also be highly desirable

Deadline: February 11, 2018 | Published: January 13, 2018   17:48              

Department: Clinical Studies
Duration: 3 y        Workload: 100%
Duties: The project involves the study of clonal evolution in childhood cancers over time during treatment using longitudinal sampling. The successful candidate will be responsible for analysing the data based on whole-exome, whole-genome and targeted next-generation sequencing, and designing mathematical and statistical models to interpret the results in light of tumour evolution. The responsibilities include bioinformatics analysis of next-generation sequencing data and, crucially, the development of mathematical and statistical models of tumour evolution. The successful candidate will work closely with a diverse team to formulate hypotheses and validate predictions using quantitative genomic assays
Minimum Requirements: Applicants should have a good first degree in mathematics, computer science, statistics or similar and a PhD in computational modelling, bioinformatics or similar. Applicants must have experience with modelling dynamical systems and have a good publication record
Preferred Requirements: Experience in developing statistical models for data analysis is highly desirable. Having worked with large scale genomic datasets such as The Cancer Genome Atlas would also be highly desirable

Deadline: February 11, 2018 | Published: January 13, 2018   17:46              

Department: Dept of Medical Physics & Biomedical Engineering
Duration: 2 y        Workload: 100%
Duties: This position is for a postdoctoral researcher to develop functional near infrared spectroscopy (fNIRS) data analysis tools to characterise robust markers of typical and atypical development which can be used to identify the impact of adversity. The post is based at UCL but will involve direct collaboration with teams in the USA and Bangladesh and The Gambia
Minimum Requirements: Candidates must have a degree and PhD in a relevant science discipline and a proven research experience in functional near infrared spectroscopy. They must have direct experience of working with fNIRS data, and preferably infant studies, and developing analysis tools. The post holder must have excellent communications skills, flexibility, enthusiasm and the ability to build and maintain excellent working relationships. The post holder must be able to travel to, and spend time working in the USA, and visit field sites in The Gambia and Bangaldesh. The post holder is expected to be well organised, use their own initiative, have excellent time management skills and be able to prioritise and work to deadlines

Deadline: February 14, 2018 | Published: January 13, 2018   06:10              

Workload: 100%
Duties: Serve as modelling and data science partner for assigned business areas responsible for the scientific integrity of work products, including study design, research methodology, and deployment of statistical approaches and modelling. Seeking a senior data scientist/predictive modeler to develop statistical models to predict probability of default (PD), expected loss, pricing and credit limit optimization/automation, customer segmentation, propensity to renew, and other opportunities for the trade credit and surety insurance business. Candidate must be hands-on individual with strong technical skills who enjoys analyzing large data sets to solve complex problems, and able to work on a global virtual team
Minimum Requirements: 5+ years of experience building predictive models. Substantial data science or advanced analytics experience. Experience in working in Big data technology (Hadoop, NoSQL DB). Degree in Quantitative field (e.g. Business Analytics, Statistics, Mathematics, Economics, IT, Computer Science, Operations Research). Fundamental knowledge of Business Analytics Applications. Knowledge of advanced/complex statistical techniques. Advanced knowledge of Relational Database and SQL programming. Advanced knowledge of Data Visualization Tools and Techniques. Advance technical skills on statistical programming language/s (ex. SAS, R, Python, etc.)
Preferred Requirements: Master of PhD is an advantage. Preferably has trade credit insurance or financial services experience

Published: January 12, 2018   18:44              

Department: School of Engineering & Materials Science
Duration: 2+1 y        Workload: 100%
Duties: Research focus the PDRA will strongly contribute to the development and benchmarking of novel deployable robot structures, capable of conducting waste management and decommissioning tasks in the extreme environment of the nuclear industry. This will involve the design and fabrication of such structures as well as the development of appropriate control strategies

Deadline: February 8, 2018 | Published: January 12, 2018   18:21              

Department: The Bartlett School of Environment, Energy and Resources
Duration: 30+ m        Workload: 100%
Duties: We are seeking to appoint a Research Associate in macro-economic modelling of the water-energy-food-environmental nexus. The successful candidate will undertake high-level modelling supporting multi-disciplinary research projects and will contribute to the UCL-ISR research strategy as part of the macro-economic modelling team
Minimum Requirements: A PhD, or near to completion, or commensurate experience in economics, econometrics or programming, with measurable experience in applied modelling. State-of-the-art knowledge of quantitative economic modelling using advanced CGE modelling tools, demonstrated in peer review publications. Solid and practical experience in global CGE modelling experience. Excellent analytical skills and passionate for data analysis, modelling and programming. Excellent level of computer literacy, including advanced use of General Algebraic Modelling system (GAMS), Mathematical Programming System for General Equilibrium (MPSGE) and General Equilibrium Modelling Package (GEMPACK). A keen interest in the resource nexus, climate change and environmental policies. Ability to work in international and multidisciplinary teams. Ability to plan and prioritise effectively workload. A keen interest to contribute to fund-raising activities and project leadership

Deadline: January 25, 2018 | Published: January 12, 2018   18:04              

Department: The Bartlett School of Environment, Energy and Resources
Duration: 1+ y        Workload: 100%
Duties: The post will play a critical role in a programme of research, which will provide the tools and analysis to enable key stakeholders to plan and manage the development of the UK school building stock to provide high quality built environments whilst limiting energy demand, carbon emissions and environmental impact. The postholder will play a leading role in the development and maintenance of the online dynamic energy benchmarking platform, develop a range of other energy/environmental models and analytical tools, publish extensively and present research findings to a range of senior government and industry stakeholders
Minimum Requirements: Postgraduate degree in computer science, engineering, architecture, physics, or related quantitative field, or equivalent by experience. PhD, or near to completion or commensurate research experience in a quantitative field related to the subject area. A specialism in building performance simulation and programming and experience of working in HPC environment is essential. Prior domestic and/or non-domestic building energy and environment modelling experience, including the use of Energy Plus, Python and SQL is desirable

Deadline: February 11, 2018 | Published: January 12, 2018   17:16              

Duration: 21 m        Workload: 100%
Duties: We are seeking to recruit a world-leading researcher for the GRID3 program within WorldPop/Flowminder. You will provide scientific direction and oversight of the technical work undertaken, leading a team of 15+ researchers. You will also be expected to contribute to the design of methods, reproducible code, strategies for data inclusion, processing pipeline, internal training and data dissemination. The program will focus initially on supporting ongoing and new analyses in up to five African countries, building on work undertaken recently in integrating satellite, survey and GIS data through statistical modelling to estimate population distributions, numbers and characteristics in the absence of national census data
Minimum Requirements: You will have a strong track record in leading research groups, managing research projects, engaging with governments/international agencies in low income settings and producing high impact publications. You will have a PhD (or equivalent professional qualifications and experience) in a relevant discipline, or have relevant industry experience. The work will be highly interdisciplinary and as such there is some flexibility to accommodate expertise from a range of cognate disciplinary backgrounds (e.g. geography, demography, statistics, computer science, ecology, epidemiology etc). A willingness to travel overseas to low income countries is also required
Preferred Requirements: The focus of the research work means that experience in quantitative demographic methods, spatial statistical analysis, computer programming, Bayesian statistics, and GIS are a significant advantage

Deadline: February 9, 2018 | Published: January 12, 2018   15:14              

Duration: 3 y        Workload: 100%
Duties: We are looking to recruit a Data Enrichment and Integration Coordinator to help the Protein Data Bank in Europe team (PDBe) team stay abreast of and meet the changing needs of the broad scientific community by developing pipelines for enrichment, integration, and quality improvement of biomacromolecular structure data and tools for its delivery
Minimum Requirements: Applicants should have a PhD and a minimum 3 years of post-PhD training in academia or industry with experience in managing a small team of professional experts. Extensive knowledge in the area of structural biology or structural chemistry as well as a broad knowledge in molecular biology or biochemistry is essential. An in-depth knowledge of protein structure (including structure determination and/or analysis and validation) is essential

Deadline: February 18, 2018 | Published: January 12, 2018   14:25              

Workload: 100%
Duties: As a member of the team you will design, develop and maintain MATLAB Deep Learning capabilities in collaboration with the whole team. You will seek real world feedback on software requirements through customer interviews and usability tests. You will work closely with other MathWorks teams and customers to help them adopt our Deep Learning capabilities. You will participate in all collaborative team activities such as planning, design discussions and reviews. You will work alongside other teams to ensure we can provide a quality product for our customers
Minimum Requirements: A bachelor's degree and 3 years of professional work experience (or a master's degree) is required. A Master’s degree and 4 years of professional work experience, or a PhD degree is required. A good degree in Mathematics, Statistics, Engineering, Physics, Computer Science or a related discipline
Preferred Requirements: Experience in implementing mathematical algorithms. Some experience with Deep Learning techniques. Object-oriented programming experience in a language like C++, Java, C#, MATLAB, or Python. Experience in statistics, data analytics, or other related computational mathematics experience. Experience with technical computing languages such as MATLAB or R

Published: January 12, 2018   14:14              

Department: European Bioinformatics Institute
Duration: 2 y        Workload: 100%
Duties: You will develop methods for interrogating genomics, survival data, biochemical pathways and clinical data for studies on ageing. Research studies on ageing have explored the effects of different environmental stresses and gene mutations on gene expression and lifespan. However, despite this work much remains to be understood about how these gene expression changes affect the biological pathways which control lifespan in different model organisms. You will study longevity in model organisms (worm, fly, mouse) focusing on the Insulin/Insulin-like Growth Factor and the TOR signalling pathways. The goal is to gain a better understanding of the underlying molecular mechanisms of aging and their similarities in different tissues and species
Minimum Requirements: The successful candidate will have completed, or be close to finishing a PhD in Computer Science, Bioinformatics, Mathematics or Physics. (S)he should have good knowledge of one or more programming languages such as Perl/Python/Java/C/C++ and skills in R or Matlab would be useful
Preferred Requirements: Experience with high-throughput data (gene expression microarrays and/or sequencing), comparative genomics and pathway analyses would be a distinct advantage

Deadline: February 15, 2018 | Published: January 12, 2018   14:13              

Duration: Until 30 June 2019        Workload: 100%
Duties: Duties will include providing statistical support on predictive modelling, risk estimation and identification of risk factors in a series of applications; pre-processing and merging together data from varied sources, generating reports of preliminary data analysis, assisting in final analyses of data; and assimilating, interpreting and disseminating data and information from different sources
Minimum Requirements: At both Grades 7 and 8, an MSc in in Statistics, Data Science, Econometrics, Computer Science or equivalent is essential, as is a degree or equivalent experience in a subject containing a substantial coverage of statistical theory, methods and practice. A Grade 8 Research Data Analyst/Statistician will also be required to hold a PhD in Statistics, Data Science, Econometrics, Computer Science or equivalent or have suitable relevant working experience. Good subject knowledge of a broad range of Statistics and of working in R and RStudio; experience in programming in R, working with Shiny applications and R markdown and working with data in Excel; and the ability to write scientific reports and papers are essential at both grades

Deadline: February 25, 2018 | Published: January 12, 2018   14:10              

Department: School of Health and Related Research (ScHARR), Health Economics and Decision Science
Duration: 2 y        Workload: 100%
Duties: You will support research and consultancy programmes in the Section of Health Economics and Decision Science (HEDS). The work will be focused on applied cost-effectiveness analysis and health economic modelling working on a range of projects and with a range of funders including NHS organisations, government bodies and agencies, healthcare and pharmaceutical companies, and research funders nationally and internationally
Minimum Requirements: You should have research experience in health economics and decision modelling. You should expect to develop existing methodological research interests, complementary to those within HEDS. You will also contribute to the development and delivery of Masters level teaching, supervision of postgraduate students and the provision of other types of training. You should have a Masters Degree or equivalent in a numerate subject, for example, mathematics, operational research, statistics or economics
Preferred Requirements: A track record of publication in peer-reviewed journals and conference presentation is desirable (essential for Research Fellow). A PhD in a health related discipline would also be desirable for this post

Deadline: February 7, 2018 | Published: January 12, 2018   14:08              

Department: Computing
Workload: 100%
Duties: You will be expected to design, develop, and implement effective, dynamic, interactive visual analytics applications for large-scale data of different origin. Review creative concept work for technical feasibility and contribute to architecture and technology discussions within the development team. Ensure all projects are delievered to the highest possible standards of quality in all aspects including, but not limited to code, documentation, configuration management and other software engineering best practices as applicable. The successful candidate will contribute to the dissemination of work within the group and also externally at national and international conferences by presentation, publication and demonstration
Minimum Requirements: Substantial experience in data analysis projects and visualisations, including commonly used languages (such as R and Python), and tools (Tableau, Spotfire, PowerBI). Experience with web technologies, including backend (Java, C#, Javascript) and specially frontend (HTML, CSS, Javascript). A strong understanding of distributed software applications, including scalability, performance, and reliability aspects with a strong background in design patterns and OOD. Experience of data mining and machine learning

Deadline: February 11, 2018 | Published: January 12, 2018   12:46              

Department: Mathematical Sciences
Duration: 22 m        Workload: 100%
Duties: To understand and convey material of a specialist or highly technical nature to the team or group of people through presentations and discussions that leads to the presentation of research papers in conferences and publications. To prepare and deliver presentations on research outputs/activities to audiences which may include: research sponsors, academic and non-academic audiences. To publish high quality outputs, including papers for submission to peer reviewed journals and papers for presentation at conferences and workshops under the direction of the Principal Investigator or Grant-holder
Minimum Requirements: A good first degree in Mathematics. A PhD (or be close to submission) in Mathematics. Experience in conducting high quality academic research. Demonstrable ability to write material of a quality commensurate with publication in highly-ranked journals. Demonstrable ability to present research papers at national and international conferences and communicate complex information to specialists and within the wider academic community. Experience in one or more of the following areas: applied analysis, numerical optimization, inverse problems, optimal transport theory, and the calculus of variations
Preferred Requirements: Postdoctoral experience. Strong publication record in peer-reviewed journals, commensurate with stage of career. A track record of presenting research at conferences, symposia, or meetings, commensurate with stage of career. Experience of programming in MATLAB or a similar language

Deadline: February 9, 2018 | Published: January 12, 2018   10:44              

Department: Electronic and Electrical Engineering
Duration: 3 y        Workload: 100%
Duties: Plan and manage own workload, working within project plan timelines, with guidance from academic and company colleagues as required. Write up research findings for dissemination to Company and academic stakeholders. Join external networks (both academic and industrial) to share information and ideas, inform the development of research objectives and shape company technical strategy. Presentation to senior management and communicating high level value from model development & research outcomes. Network and collaborate with colleagues across both company and academic environments to facilitate development of knowledge exchange activities
Minimum Requirements: Honours degree and MSc (or equivalent professional experience) in Engineering, Applied Mathematics, Physics, Computer Science, Statistics. Experience in data handling, manipulation of large data sets, pre-processing and error checking. Experience in at least one high-level programming language (e.g. Python, Java). Experience in using a numerical/statistical programming language (R or Matlab). Have a working knowledge of statistical models including model fitting techniques, strategies for testing and validation etc. Sufficient breadth or depth of knowledge in the relevant discipline/s to contribute to research programmes and to the development of research activities
Preferred Requirements: Membership of relevant Chartered/professional bodies (including Higher Education Academy). Experience of relevant student supervision and teaching activities. Experience of knowledge exchange related activities

Deadline: February 7, 2018 | Published: January 12, 2018   10:44              

Duration: 1 y        Workload: 100%
Duties: Working with and in support of Professor Philip Conaghan to ensure projects are successfully completed. Preparing papers for publication. Contributing to the management and manipulation of data to prepare analytic cohorts, in collaboration with colleagues and in line with data management policies and data protection legislation. Developing research and analytical protocols. Applying appropriate statistical methods, concepts and software to undertake analysis of data from large patient datasets. Participating in the interpretation and writing up of analyses in an appropriate and timely manner
Minimum Requirements: A PhD in a relevant subject area (including, but not limited to health data, epidemiology, statistics) or significant research experience. A track record of first author publications. Proven ability to write to the standard required for research reports/international publications. Experience in biostatistics, epidemiology and/or data analysis. Knowledge of statistical principles and statistical techniques. The ability to independently prepare clear detailed analytical protocols and to apply new statistical approaches and methodologies. Experience of leading research projects. Working experience in processing, manipulating, analysing and modelling large datasets, whilst appropriately handling missing information

Deadline: February 8, 2018 | Published: January 11, 2018   22:04              

Department: Economics
Duration: 3+ m        Workload: 50%
Duties: The Research Assistant will work on a project funded by the ERC on "Econometrics for Public Policy, Sampling, Estimation, Decision and Applications" based in the Department of Economics at UCL
Minimum Requirements: A Master’s Degree or equivalent in Economics; an aptitude and commitment to high quality research and ability to work collaboratively and as a part of a team to short deadlines is key. Good interpersonal skills and intellectual breadth is required for the research project, with experience in handling data sets and a solid experience in programming ( R and Stata) is essential

Deadline: January 24, 2018 | Published: January 11, 2018   14:51              

Duration: June - September 2018        Workload: 100%
Duties: Come and join us to contribute to the research and development of the MATLAB and Simulink platforms, as used by software developers, scientists and engineers throughout many application and industry areas worldwide. Extend your software and algorithm development skills working on computations using a GPU, cluster or BigData environment. You will work closely with a mentor within our Parallel Computing Toolbox development team here in Cambridge to define and execute a project that aims to: Grow your software engineering skills. Give you experience of the full commercial software design cycle. Contribute directly to MathWorks products
Minimum Requirements: This placement is ideally suited for students of Computer Science, Mathematics, Physics, Engineering or other technical subjects. Candidates must be pursuing a master's level or a PhD level degree in a technical discipline. Candidates for this position must hold a valid work permit in the United Kingdom. Ability to describe and communicate mathematical algorithms, and translate them into code. Knowledge of object oriented software design is not essential, but would be an advantage

Published: January 10, 2018   22:28              

Department: Chemical Engineering
Duration: 3, 5 y
Duties: The main purpose of this role is to develop innovative methods and algorithms to accelerate kinetic Monte-Carlo (KMC) simulations of reactions on catalytic surfaces. A challenge in KMC simulation is that certain frequent events dominate the computational effort. Yet, after rapidly reaching quasi-equilibrium, their frequent execution is unnecessary, as they are anyway limited by slower events. In this PhD Studentship we will develop innovative algorithms that will employ reliable error estimates, robust mathematical approaches and optimisation techniques, to improve simulation efficiency incurring a small quantifiable error in the observables of interest
Minimum Requirements: The person appointed will have the essential skills, abilities, personal attributes and experience listed. In your application, you should demonstrate how you meet the person specification, using examples
Preferred Requirements: An undergraduate degree in Chemical Engineering, Chemistry, Physics or related field, with some experience in computational science and coding is desirable. Specific experience on dynamic/kinetic Monte Carlo simulations, as well as optimization and control is an advantage

Deadline: June 30, 2018 | Published: January 10, 2018   07:41              

Department: Research Department of Neuroscience, Physiology and Pharmacology
Duration: 1+ y        Workload: 50%
Duties: We are looking to appoint a postdoctoral research associate to develop statistical techniques based on information theory for the analysis of high-density multi-site EEG and intracranial recordings, radically novel signal processing techniques, develop models linking measured EEG activity to underlying cortical mechanisms, design experiments that maximize the effectiveness of statistical analyses, and implement the developed algorithms in MATLAB (including MEX), Fortran and C
Minimum Requirements: A PhD in physics or mathematics is essential for the role, along with previous experience in the analysis of simultaneously recorded intracranial and fMRI data in primates, and experience in research groups working on the relationship between single-neuron and population recordings. Proficiency in computer progamming in a number of languages is also essential

Deadline: January 23, 2018 | Published: January 10, 2018   06:35              

Department: Institute of Neurology
Duration: 1+ y        Workload: 100%
Duties: The post holder will contribute to the development and optimization of advanced imaging methods for investigating brain and spinal cord tissue microstructure, specifically quantitative Magnetisation Transfer (qMT), relaxometry and multi-shell diffusion MRI. The researcher will implement fitting routines for models of these advanced imaging methods and also develop models to help better understand disease progression in MS. The appointee will be embedded in a unique world-leading research environment for translational MRI, working with the Queen Square MS Centre where there is true integration of clinical research with the Physics team
Minimum Requirements: Applicants must have, or be close to obtaining, a PhD in physics, computer science, biomedical engineering, mathematics, or a comparable subject (if not already held, the PhD must have been submitted by the date of starting in post). A strong background in MR sequence development, image processing and/or data analysis, high-level programming languages (eg, C/C++, Matlab, Python), and specialist knowledge of diffusion-weighted imaging, quantitative MT, relaxometry and microstructural models are essential. Familiarity with one or more of the following: image analysis, acquisition design, and scanner programming, is also required

Deadline: January 23, 2018 | Published: January 10, 2018   06:34              

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: January 10, 2018   00:40              

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: January 10, 2018   00:40              

Workload: part-time
Duties: The University of Chester’s Centre for Foundation Studies is seeking to appoint a Visiting Lecturer (VL) in Maths to teach for six hours per week for the remainder of the 2017-18 academic session (Thursday and Friday mornings). This will comprise of two classes of Maths for Science at Level 3 per week.This module is on our Life Sciences foundation route. The Centre for Foundation Studies teaches over 200 students undertaking the first (foundation) year of their four year integrated Bachelor’s degree prior to progressing to faculties. Our teaching focus is on transition to higher education and there is an expectation that all teaching staff are able to support student engagement and progression strategies
Minimum Requirements: Applicants will typically be qualified to Master’s level. Experience of teaching and assessment is essential. Successful applicants must be able to demonstrate ability to use their interest in the subject area to enthuse students in groups of up to 25

Deadline: January 19, 2018 | Published: January 9, 2018   23:33              

Department: Computer Science and Technology
Duration: 2 y        Workload: 100%
Duties: Applications are invited for a Research Assistant or Research Associate to work on the POETS project (Partially Ordered Event Triggered Systems - computing beyond a million processors). This project focuses on alternative processor, interconnect and memory architecture optimised for massively parallel event-driven computation. Our current prototype on multiple FPGAs supports over one thousand threads per FPGA running on many multithreaded RISC-V cores with a custom interconnect between cores and FPGAs. This position is for a candidate with an open-ended remit to perform hardware and/or software research in this broad area, to complement and enhance existing work performed within the project team
Minimum Requirements: We seek candidates with a strong background in Computer Science or Electrical Engineering with an interest in computer architecture and parallel programming paradigms. The ideal applicant should have skills in one or more of the following areas: processor design, implementation on FPGA, processor simulation, compilation techniques (e.g. using LLVM). Appointment at research associate level is dependent on having a PhD (or equivalent experience). Where a PhD has yet to be awarded appointment will initially be made as a research assistant and amended to research associate when the PhD is awarded
Preferred Requirements: An interest in parallel computing, scientific computing or machine learning would be helpful

Deadline: February 8, 2018 | Published: January 9, 2018   23:32              

Department: School of Mathematics
Duration: 2 y        Workload: 100%
Duties: Applications are invited for postdoctoral research opportunities in Mathematics. This is funded by an ERC Advanced Grant “Exponential Sums, Translation Invariance, and Applications”, which aims to develop and study the efficient congruencing/decoupling methods in analytic number theory; it covers a wide range of topics including exponential sums, the Hardy-Littlewood (circle) method, quantitative arithmetic geometry, restriction theory, function fields, and additive combinatorics
Minimum Requirements: You should have (or expect to hold shortly) a PhD in Mathematics or equivalent, with a suitable background in analytic number theory, arithmetic or algebraic geometry, discrete harmonic analysis, additive combinatorics, or theoretical computer science, and a willingness to interface with the theory of exponential sums and the circle method

Deadline: February 14, 2018 | Published: January 9, 2018   23:32              

Department: College of Science and Technology
Duration: 6 m        Workload: 100%
Duties: Applications are invited for a six-month fixed term position to develop and apply sophisticated image analysis routines (in Matlab) to objectively quantify the patterns seen in an extensive database of dried blood droplets. We will look for statistically relevant correlations between the patterns and various measured physiological parameters
Minimum Requirements: The successful candidate will have a Ph.D. qualification in Physics/Materials Science/Image Processing/Mathematics or a closely related discipline. Relevant expertise in research techniques and methods, image processing, programming, and experience of scientific writing are essential. The successful candidate should also have excellent I.T. and advanced communication skills, and have the ability to show initiative and work effectively and collaboratively in a multidisciplinary research team
Preferred Requirements: Experience of using Principal Component Analysis would be highly desirable

Deadline: January 31, 2018 | Published: January 9, 2018   19:15              

Department: Medicine
Workload: 100%
Duties: We are looking for a Group Leader with research interests in statistical and computational analysis and integration of genome-scale data to build a research program relating to cancer biology. You will be educated to PhD level or equivalent in a quantitative science with research experience in academia or industry. As Group Leader, you will have excellent communication skills and a proven ability to deliver high-quality novel research, for example through journal publications, patents and other IP or authoring widely-used software
Minimum Requirements: You will have a background in a quantitative discipline, such as mathematics, statistics, engineering or computer science, and experience in the analysis of high-dimensional data
Preferred Requirements: Knowledge of cancer genomics, proteomics, imaging or other high-throughput biomedical data would be an advantage, but we also encourage applications from individuals from different research domains or non-academic backgrounds interested in applying their skills to new challenges

Deadline: February 7, 2018 | Published: January 9, 2018   18:38              

Department: Clinical Neurosciences
Duration: 2 + y        Workload: 100%
Duties: The FMRIB Centre Analysis Group conducts research in methods and modelling of brain imaging data, including functional MRI, diffusion MRI, structural MRI, EEG, and more recently MEG data. The members of the Analysis group have developed the widely used FMRIB Software Library (FSL) package, which enables the methods created within FMRIB to have a worldwide impact on the neuroimaging community. You will work closely with the FSL development team, implementing new functionality in FSL, enhancing build/test systems and maintaining the existing codebase. This will also involve interacting with FSL users, both within FMRIB and from the wider neuroimaging community, to resolve issues arising from analysis and software use
Minimum Requirements: You must have a relevant degree (or equivalent) in a quantitative discipline – most likely one of Mathematical Engineering, Electrical Engineering, Applied Mathematics, Computer Science, Physics, Statistics or Image Processing with strong experience of programming in C/C++
Preferred Requirements: A background in collaborative software development and familiarity with version control systems (e.g., RCS, CVS, git) would be advantageous

Deadline: February 5, 2018 | Published: January 9, 2018   18:37              

Department: Institute of Ophthalmology
Duration: 2 y        Workload: 100%
Duties: The successful applicant will carry out a wide range of duties including developing and optimizing machine learning application for the detection and treatment of diabetes in the UK and developing world. To prototype and develop a novel set of machine learning solutions for the analysis of retinal images acquired in the clinical and with handheld imaging devices. To learn the NifTK framework of TIG, along with its dependencies, and its use for delivering clinically-useful algorithms. To become familiar with the standard ophthalmological digital infrastructure, their respective capabilities (OCT, angio-OCT, fundus images), and create pipelines for data extraction and processing
Minimum Requirements: The ideal candidate would have a PhD in computer science with previous experience in retinal image analysis, development of machine learning applications and working in a diverse group consisting of medical doctors, computer scientists and basic scientists. Understanding of retinal anatomy in healthy and diabetic eyes is also essential

Deadline: January 18, 2018 | Published: January 9, 2018   15:43              

Department: Cancer Institute
Workload: 100%
Duties: The post holder will be responsible for the development of trial databases in MACRO. He/she will also be responsible for the development of standardised database management tools using VBA in Microsoft Access and other software as appropriate. Develop clinical trial databases in MACRO and advise/assist on externally developed databases (full training will be given in this if the post holder is unfamiliar with software). Use Microsoft Access to develop systems to improve data management tasks in the trials centre; this may include developing his/her own projects. Work with the trial teams to define database requirements
Minimum Requirements: Programming skills using VBA in Microsoft Access including form design, reporting and advanced data querying. Proven accuracy and numeracy skills. Able to prioritise and carry out tasks independently. Ability to work to deadlines. Able to work flexibly to accommodate changing priorities. Able to follow procedures and systematic processes
Preferred Requirements: Experience of developing clinical trial databases. Knowledge of current regulatory requirements regarding data management in clinical trials. Experience of data management in the clinical trials setting. Experience of MACRO, particularly creating study definitions. Knowledge of cancer and medical terminology. Experience of report writing

Deadline: February 4, 2018 | Published: January 9, 2018   15:39              

Department: Infection and Immunity
Duration: 2+ y        Workload: 100%
Duties: Dr Rowe's group conduct innovative research on how transposons, which comprise half of the human genome, switch genes on and off through epigenetic mechanisms. The post-holder will investigate how transposons remodel the genome during embryonic stem cell differentiation and during reprogramming. They will work with students and postdocs in Dr Rowe's group generating hypotheses through the analysis of RNA-sequencing and ChIP-sequencing data focused on transposon functions. There will also be the opportunity for the post-holder to develop new techniques and to have their own additional transposon project upon mutual agreement
Minimum Requirements: The successful applicant should have a PhD (or about to be awarded) in Bioinformatics. Experience in analysing RNA-sequencing and ChIP-seq data independently as well as experience in programming skills using Perl and Python are essential requirements. They must be able to manage time and work to strict deadlines. They must be able to communicate effectively verbally and in writing with a wide range of colleagues

Deadline: February 8, 2018 | Published: January 9, 2018   13:18              

Department: Computer Science
Duration: 2+ y        Workload: 100%
Duties: UCL Surgical Robot Vision group is seeking an outstanding candidate to join our research team on the GIFT-Surg project. We are seeking a post-doctoral research associate to work on developing links between robotics and computer vision techniques. The candidate will develop techniques which advance both theory and practical implementations
Minimum Requirements: We are seeking a post-doctoral research associate to work on developing links between robotics and computer vision techniques. In particular we will advance real-time information processing of images acquired in utero using a fetoscope and using ultrasound and how such information can be used in visual servo for robot control. The candidate will develop techniques which advance both theory and practical implementations. The candidate should have a PhD (or will shortly be assessed for a PhD level qualification) in computer vision, medical image computing, biomedical engineering, or a comparable subject

Deadline: February 8, 2018 | Published: January 9, 2018   13:15              

Department: Clinical Studies
Duration: 3 y        Workload: 100%
Duties: The responsibilities include bioinformatics analysis of next-generation sequencing data and, crucially, the development of mathematical and statistical models of tumour evolution. The successful candidate will work closely with a diverse team to formulate hypotheses and validate predictions using quantitative genomic assays
Minimum Requirements: Applicants should have a good first degree in mathematics, computer science, statistics or similar and a PhD in computational modelling, bioinformatics or similar. Applicants must have experience with modelling dynamical systems and have a good publication record
Preferred Requirements: Experience in developing statistical models for data analysis is highly desirable

Deadline: February 11, 2018 | Published: January 7, 2018   16:27              

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

Deadline: January 21, 2018 | Published: January 7, 2018   16:17              

Department: Department of Engineering Science
Workload: 100%
Duties: The successful candidate will primarily be part of EPSRC projects STABLE-NET (EP/L014343/1) and RHYTHM (EP/N034570/1), and may from time to time work on other projects in the group. You will be responsible for developing algorithms for battery health estimation, failure detection, and remaining lifetime prediction. You will be responsible for collecting battery test data, and designing, implementing and testing software algorithms. You will participate in group activities, project meetings, and external conferences
Minimum Requirements: You should have a PhD/DPhil in engineering, physics, computer science, or an allied discipline. Your publications should demonstrate competency and experience in control engineering and/or probabilistic machine learning

Deadline: January 24, 2018 | Published: January 7, 2018   16:15              

Workload: 100%
Duties: Investigation of NLP, text analysis, web mining and machine learning techniques applied to online video context analysis and retrieval. Build extendable ground truth datasets to capture audience needs relating to existing online video content for analysis and modelling purposes. Development of a commercial software service tool for video content retrieval, analysis and visualization. Design and develop a tool to integrate the analysis of textual and non-textual data for the analysis of online video content. A prototype operational system for text based topicality analysis relating to online video content. Development of a video topic extraction approach based on video content and text metadata
Minimum Requirements: MSc or Higher Degree in Computer Science, Data Science, Electronic Engineering or Physics. Knowledge and interest in deep learning. Knowledge and interest of NLP, text analysis and machine learning approaches such as deep learning, fuzzy systems and probabilistic reasoning techniques applied to video summerisation. A high level of Java or Python programming ability. Strong Javascript (including HTML/CSS) knowledge

Deadline: February 4, 2018 | Published: January 7, 2018   16:09              

Department: Clinical Trials & Statistics Unit
Workload: 100%
Duties: The successful applicant will have a varied role working on the statistical development, oversight and analysis of a number of multi-centre phase II/III (and phase II/III pilot) cancer clinical trials and associated translational research projects. There will be an individual emphasis towards phase II and biomarker-directed trials and associated issues of design (e.g. multi-stage, adaptive designs) and analysis (e.g. biomarker changes, futility). Working as part of a multi-disciplinary team and with external collaborators on specific trials, the post holder will also have line management responsibility for other ICR-CTSU statisticians as well as providing wider mentoring within ICR-CTSU
Minimum Requirements: You should have a PhD or equivalent experience in clinical trials and/or biomarker research, be effective when working in a collaborative multi-disciplinary environment and have the ability to manage statistical staff

Deadline: January 19, 2018 | Published: January 7, 2018   15:25              

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

Deadline: February 16, 2018 | Published: January 7, 2018   15:23              

Workload: 100%
Duties: You will be expected to work in CVSSP, responsible for developing signal processing algorithms for feature extraction associated with non-musical (e.g. timbral) properties of audio signals. In particular, you will be looking into methods for improving reverberation time estimation from recorded audio, and identifying better methods to distinguish between the direct and reverberant portions of stimulus, e.g. by considering a combination of level changes, continuity of partials, spectral homogeneity and autocorrelation. Other measures, other than reverberation times, such as reverberation level, may also be considered
Minimum Requirements: The successful applicant is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have research experience in audio signal processing and machine learning. Research experience in one or more of the following is desirable: audio signal processing, audio feature extraction, room acoustics, and reverberation time estimation. Experience in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage, as will academic publications in a relevant area

Deadline: February 5, 2018 | Published: January 7, 2018   15:20              

Department: Clinical Studies
Duration: 3 y        Workload: 100%
Duties: The successful candidate will be responsible for analysing the data based on whole-exome, whole-genome and targeted next-generation sequencing, and designing mathematical and statistical models to interpret the results in light of tumour evolution. The ultimate the aim is understanding fundamental underlying dynamics of progression and treatment resistance in childhood malignancies. The responsibilities include bioinformatics analysis of next-generation sequencing data and, crucially, the development of mathematical and statistical models of tumour evolution. The successful candidate will work closely with a diverse team to formulate hypotheses and validate predictions using quantitative genomic assays
Minimum Requirements: Applicants should have a good first degree in mathematics, computer science, statistics or similar and a PhD in computational modelling, bioinformatics or similar. Applicants must have experience with modelling dynamical systems and have a good publication record
Preferred Requirements: Experience in developing statistical models for data analysis is highly desirable

Published: January 7, 2018   14:28              

Department: Engineering
Duration: Until 29 March 2019        Workload: 100%
Duties: You will be working on the ongoing eTRIKS (European Translational Information & Knowledge Management Services) and Biovacsafe (Biomarkers for Enhanced Vaccine Immunosafety) projects. To contribute to the development, or implementation of,  integration, analysis and visualisation methods for high-throughput biomedical data. To contribute to the necessary curation effort to build medical knowledge bases. To develop and provide custom analyses for a wide variety of data generated from sequencing, genotyping, gene expression technologies and other high throughput omics platforms. To consult and collaborate with medical partners in research projects on data analysis. To collaborate with team members to develop and provide software
Minimum Requirements: At Research Assistant level you must have a good first degree (or equivalent) or Masters (or equivalent) in a related area. At Research Associate level you must have a PhD (or equivalent) in bioinformatics, biology, computer science or significant experience. You must have a proven track record of biomedical research, experience in handling/processing large and complex datasets, good knowledge of modern statistical programming languages (e.g R, MatLab), programming languages (e.g. Java, Perl, Python) and experience working with SQL and UNIX/LINUX

Published: January 7, 2018   14:26              

Duration: 3 y        Workload: 100%
Duties: The main role of the post holder is to support participating sites collect and collate high quality observational data and clean and analyse it using REDCap. You will be responsible for ensuring the accurate and complete maintenance of databases and associated documentation involving direct communication with data contributors from around the globe. Additionally, you will perform interim data reviews, descriptive analyses and provide data exports and reports, highlighting anomalies and indicating areas for improvement on a regular basis
Minimum Requirements: Undergraduate computer science/science degree. Experience of managing global databases. Experience with REDCap. Querying databases and writing computer (e.g. SQL) scripts. Excellent Microsoft Office skills, including Excel and Access
Preferred Requirements: Education to MSc level or equivalent. Postgraduate computer science degree/science degree

Deadline: January 31, 2018 | Published: January 7, 2018   14:16              

Workload: 100%
Duties: The successful post holder will perform deep sequencing data analysis, statistical analysis and feature extraction from large-scale RNA structure transcriptome dataset. They will also establish novel bioinformatics analysis pipelines for newly collected transcriptome data as well as develop new methods for interpreting RNA structure probing data. Establishing novel bioinformatics analysis pipelines for newly collected transcriptome data and new method development. Deep sequencing, data management, data analysis, statistical analysis, feature extraction from large-scale biological datasets. Identifying functional RNA structure features
Minimum Requirements: The successful post holder will have an excellent computer science, applied mathematics, statistics or bioinformatics background. Extensive experience in genomic data analysis, machine learning and data mining is desirable but not essential. PhD (full award or expected within 6 months) in Computational Biology. Proficiency in computer programming, e.g. Java, Python, or C. Proficiency in statistical analysis on big datasets using R or MATLAB. Understanding of genome analysis and data mining skills. Knowledge of modelling and simulation

Deadline: January 30, 2018 | Published: January 7, 2018   14:01              

Department: Clinical Studies
Workload: 100%
Duties: The successful applicant will have a varied role working on the statistical development, oversight and analysis of a number of multi-centre phase II/III (and phase II/III pilot) cancer clinical trials and associated translational research projects. There will be an individual emphasis towards phase II and biomarker-directed trials and associated issues of design (e.g. multi-stage, adaptive designs) and analysis (e.g. biomarker changes, futility). Working as part of a multi-disciplinary team and with external collaborators on specific trials, the post holder will also have line management responsibility for other ICR-CTSU statisticians as well as providing wider mentoring within ICR-CTSU
Minimum Requirements: You should have a PhD or equivalent experience in clinical trials and/or biomarker research, be effective when working in a collaborative multi-disciplinary environment and have the ability to manage statistical staff

Deadline: January 19, 2018 | Published: January 7, 2018   13:58              

Department: Mechanical Engineering
Workload: 100%
Duties: The role will involve analysis and simulation of acoustic metamaterials for noise control on aircraft. Analysis methods will include the Boundary Element Method and/or analytical modelling. To develop and apply numerical and/or analytical methods to the problem of noise control by metamaterials operating in a mean flow. Writing up results of research and contributing to the publication of results in high-quality peer-reviewed academic literature. Disseminating results of project by presentation at conferences (AIAA, Acoustical Society of America). Attendance at project meetings and communication with project partners
Minimum Requirements: PhD or equivalent qualification(s) and professional experience in acoustics, wave propagation, solid mechanics, or fluid dynamics. Demonstrated significant depth and breadth of specialist knowledge of subject matter to contribute to research programmes and to the development of departmental research activities. Proficiency in High Performance Computing and programming in C in a Unix environment
Preferred Requirements: Post-doctoral experience

Deadline: February 4, 2018 | Published: January 7, 2018   13:56              

Workload: 100%
Duties: You will provide support in writing and maintaining profitable, viable business and innovation initiatives, in line with the business strategy and risk appetite. An ability to think outside the box and add a value analysis in respect of all reinsurance matters relating to the Company is desired. Knowledge of pricing processes, bases and methodology, risk and capital models under Solvency II will be an additional advantage. Assist in ad-hoc reviews and special reinsurance optimisation projects as and when required
Minimum Requirements: Be making progress towards becoming a qualified actuary. Degree qualified or equivalent qualifications in a numerical/finance related subject. Good understanding of Solvency II and IFRS reporting regimes. Ability to problem solve, prioritise solutions and deliver to deadlines
Preferred Requirements: Previous Life reinsurance experience preferred. Financial services experience, an advantage; ideally from a consulting background

Published: January 7, 2018   12:54              

Department: Institute of Health Informatics
Duration: 1, 5+ y        Workload: 100%
Duties: We are seeking to appoint a Statistician to work on the Preserving Antibiotics through Safe Stewardship (PASS) project, which is funded by a programme grant from the Economic and Social Research Council (ESRC). The post is for 18-months and involves responsibility for analysing large and complex datasets from primary and secondary care. The project is highly inter-disciplinary and will involve extensive collaboration with qualitative researchers, social scientists and a designer from UCL, the University of Leicester, the EPPI-centre at the Institute of Education and the Helen Hamlyn Centre for Design
Minimum Requirements: The successful applicant will hold a PhD in statistics or a relevant discipline with the following core attributes: highly motivated, previous experience of analysing electronic health records, ability to work independently in collaboration with a multi-disciplinary team, and excellent oral and written communication skills

Deadline: January 28, 2018 | Published: January 6, 2018   23:41              

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: January 6, 2018   00:30              

Department: Bartlett School of Construction & Project Management
Workload: 100%
Duties: The successful applicant will be expected to assist in applying for research funding to funding councils and other bodies; to provide material, including graphics, suitable for publication on the school’s webpages; to carry out teaching and assessment at MSc level; to prepare and present findings of research activity to colleagues; and to carry out research for, and collaborate in the updating of a website for CONA – the Centre for Organisational Network Analysis
Minimum Requirements: The appointee is required to have a PhD in a relevant field, and interest in and knowledge of Social Network Analysis. The successful candidate will also need to have a bachelor’s degree in either one of the built environment disciplines or a management area, and excellent knowledge of appropriate research techniques; together with a proven track record in submitting research papers for publication, and knowledge of at least one social network analysis software package, preferably UCINET; as well as the ability to analyse and write up data, and process material for inclusion on one of the school’s webpages

Deadline: February 4, 2018 | Published: January 4, 2018   13:15              

Department: Institute of Ophthalmology
Duration: 3+ y        Workload: 100%
Duties: The successful applicant will carry out a wide range of duties including high quality risk prediction research using linked electronic health records, for example using large scale record linkages across primary care, hospital episodes statistics, disease and procedure registries and death registry (CALIBER) and large diabetic retinopathy databases. This post is central to a newly established international project and will be undertaken in collaboration with Farr Institute of Health Informatics Research
Minimum Requirements: Essential criteria for this post is a PhD in a relevant quantitative discipline, a strong previous publication record and competence in R or similar statistical software and experience in running Cox models and survival analysis

Deadline: February 2, 2018 | Published: January 4, 2018   13:00              

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: January 3, 2018   15:21              

Workload: 100%
Duties: CR's Clinical Trials and Statistics Unit (ICR-CTSU) is looking for an experienced medical statistician to work on the design and analysis of biomarker directed trials and translational studies. ICR-CTSU’s main interests and areas of expertise are phase II/III randomised trials that evaluate new drug treatments and technologies (including radiotherapy) and/or utilise biomarker driven designs to clinically qualify putative predictive biomarkers. Clinical areas of focus are breast, urological and head and neck cancers with further trials in melanoma, sarcoma, ovarian and lung cancer
Minimum Requirements: You should have a PhD or equivalent experience in clinical trials and/or biomarker research, be effective when working in a collaborative multi-disciplinary environment and have the ability to manage statistical staff

Deadline: January 19, 2018 | Published: December 30, 2017   22:41              

Department: Clinical Trials & Statistics Unit
Workload: 100%
Duties: ICR's Clinical Trials and Statistics Unit (ICR-CTSU) is looking for an experienced medical statistician to work on the design and analysis of biomarker directed trials and translational studies. ICR-CTSU’s main interests and areas of expertise are phase II/III randomised trials that evaluate new drug treatments and technologies (including radiotherapy) and/or utilise biomarker driven designs to clinically qualify putative predictive biomarkers. Clinical areas of focus are breast, urological and head and neck cancers with further trials in melanoma, sarcoma, ovarian and lung cancer
Minimum Requirements: You should have a PhD or equivalent experience in clinical trials and/or biomarker research, be effective when working in a collaborative multi-disciplinary environment and have the ability to manage statistical staff

Deadline: January 19, 2018 | Published: December 30, 2017   22:41              

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

Deadline: January 21, 2018 | Published: December 30, 2017   22:36              

Department: Paediatric Solid Tumour Biology and Therapeutics
Duration: 3 y        Workload: 100%
Duties: We are seeking a highly motivated Postdoctoral Training Fellow with expertise in cancer genomics and evolutionary modelling of cancer. The project involves the study of clonal evolution in childhood cancers over time during treatment using longitudinal sampling. The successful candidate will be responsible for analysing the data based on whole-exome, whole-genome and targeted next-generation sequencing, and designing mathematical and statistical models to interpret the results in light of tumour evolution. The ultimate the aim is understanding fundamental underlying dynamics of progression and treatment resistance in childhood malignancies. The responsibilities include bioinformatics analysis of next-generation sequencing data
Minimum Requirements: Applicants should have a good first degree in mathematics, computer science, statistics or similar and a PhD in computational modelling, bioinformatics or similar. Applicants must have experience with modelling dynamical systems and have a good publication record. Excellent organizational and communication skills are essential
Preferred Requirements: Experience in developing statistical models for data analysis is highly desirable. Having worked with large scale genomic datasets such as The Cancer Genome Atlas would also be highly desirable

Deadline: January 26, 2018 | Published: December 30, 2017   22:36              

Duties: Tutoring in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics, Calculator Technical Assistance, GMAT & SAT, Others; you pay 100 CHF, Euro or US$ for your advert to appear on www.all-acad.com/Tutoring for one year

Published: December 30, 2017   09:22              

Workload: 100%
Duties: Support the analytical development of UK Underwriting teams through data gathering, analysis and modelling under the direction of a more senior statistician. Demonstrate increasing knowledge of statistical techniques and procedures, including trend analysis, profiling and predictive modelling, to be able to provide first class service to external and internal customers. Provide regular insight and analysis, using multiple data sources. Work closely with the data team to steer the development of the analytical capability
Minimum Requirements: Strong degree or MSc/PhD in a numerical subject (Maths, Statistics, Science). Statistician/data scientist with some experience in predictive analytics. Some experience applying machine learning models and predictive analytical techniques. Experienced in advanced statistical analysis and data manipulation techniques

Published: December 27, 2017   10:14              

Workload: 100%
Duties: With minimal supervision, help ensure the timely and accurate delivery of Group and regulatory requirements. Clearly highlight, document and explain any assumptions made in submissions. Provide support to the UK P&C Chief Actuary with reporting and communication of the results. Assist with the production and discussions around the business plan. Provide technical advice and counsel within the Actuarial team and to the wider Finance team, when required
Minimum Requirements: Degree in Mathematics, Actuarial Science, Economics or equivalent

Published: December 27, 2017   10:14              

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