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Department: Centre for Molecular Oncology
Workload: 100%
Duties: Applications are sought for a Bioinformatician to provide bioinformatics expertise towards the discovery novel biomarker and signature discovery in lymphoma and leukaemia, and other cancer types
Minimum Requirements: Essential requirements for this post include a PhD in Bioinformatics and Computational Biology or a relevant discipline. Candidates without a PhD but with extensive knowledge and experience in genomics data analysis are also very welcome. Candidates must demonstrate knowledge and experience in large-scale data analysis, especially next-generation sequencing data sets
Preferred Requirements: Experience in data integration and modeling is desirable. Knowledge in cancer genetics and genomics will be much appreciated

Deadline: August 27, 2017 | Published: July 28, 2017   17:04              

Department: School of Electronic Engineering & Computer Science
Workload: 100%
Duties: The Centre for Digital Music (C4DM) at Queen Mary University of London is seeking to appoint a postdoctoral research assistant to work on the Audio Commons research project funded by the European Commission under the Horizon 2020 programme. The position focuses on human computer interaction and user evaluation applied to novel interfaces for audio/music production
Minimum Requirements: The successful candidate must have a PhD (already obtained or to be awarded shortly) or equivalent in one of the following or related disciplines: Sound and Music Computing, Human Computer Interaction, Electronic Engineering, Computer Science, and postgraduate degree in Sound and Music Computing, Human Computer Interaction, Computer Science or Electronic Engineering (or a related field)

Deadline: August 28, 2017 | Published: July 28, 2017   17:02              

Department: MRC CTU at UCL
Workload: 100%
Duties: The main duties of the post include collecting, coding and ensuring trial data is entered in a timely and accurate manner, randomising patients into trials, organising pathology and radiology reviews, dealing with enquiries and visiting participating hospitals to collect data and explain trial procedures
Minimum Requirements: The post would suit individuals with data entry experience and an interest in working on Clinical Trials within Cancer and/or infectious diseases. Successful applicants will have excellent organisational and communication skills (verbal and written) as well as good attention to detail. Essential requirements for the role are good computer skills, experience with MS office packages, databases software and tools used for managing Clinical trial data and willingness to learn new packages, as well as an understanding of Clinical trials methodology and stages in the testing of new products and other interventions. Educated to at least A Level standard or equivalent and have GCSE English and Mathematics (Grade A-C)

Deadline: August 11, 2017 | Published: July 28, 2017   16:53              

Department: MRC Clinical Trials Unit at UCL
Duration: 2 y        Workload: 100%
Duties: We are looking for a Statistician to join us, working on national and international clinical trials within the Cancer Theme. You will be expected to provide statistical advice, analyse observational data, prepare and present reports and develop statistical analysis plans
Minimum Requirements: Practical experience in observational studies, clinical trials or related work. Good understanding of statistical concepts. An MSc or PhD in Medical Statistics (or closely related subject) or a BSc in Statistics

Deadline: August 28, 2017 | Published: July 28, 2017   16:52              

Workload: 100%
Duties: Responsible for the day to day conduct of research studies within the Mental Health and Addiction Research Group, and carrying out modelling and data analysis. Contribute to all aspects of the study, including the development of research methods, and dissemination of research results
Minimum Requirements: Masters degree in health economics, health sciences, economics, statistics, biostatistics or health research related disciplines
Preferred Requirements: A PhD in a relevant subject is desirable

Deadline: August 27, 2017 | Published: July 28, 2017   11:51              

Workload: 100%
Duties: Support client case work, which may include analysis of risk through structuring, pricing and optimising of reinsurance programmes. Assist in the development of actuarial models. Identify and present areas where improvements may be made enabling tasks to be completed in a more efficient manner. Develop knowledge of all actuarial systems & processes; develop your business, market knowledge and awareness of relevant issues which impact a particular area of practice
Minimum Requirements: Strong educational background, having studied analytical subjects such as Mathematics, Actuarial Science or Finance throughout school and/or university

Published: July 28, 2017   01:54              

Workload: 100%
Duties: The project will reconstruct neurons and their connections from a recently completed electron microscopy (EM) volume of a whole adult fly brain. This will enable a comprehensive understanding of the neural circuits basis of memory storage and retrieval. You will work in a highly collaborative team using web-based software to trace neuronal structures and connections. Sophisticated data analysis tools will be used to identify traced neurons and to analyse their organisational logic
Minimum Requirements: Relevant BSc, or equivalent, to a good level in an appropriate subject (e.g. neuroscience, biological sciences or computer science/physical sciences). Basic understanding of neuroscience

Deadline: August 20, 2017 | Published: July 28, 2017   01:52              

Department: Department of Mechanical Engineering
Duration: 3 y
Duties: A 3-year PhD studentship is available at UCL Department of Mechanical Engineering for an enthusiastic student interested in development of a novel cardiovascular assisting device
Minimum Requirements: Applicants should have a very good degree in engineering, physical science or mathematics. Understanding, skills and aptitude for fluid mechanics and power systems analysis are essential. Experience on experimentation is also desirable. Education and training in advanced computational modelling and cardiovascular biological sciences along with other appropriate training will be provided additionally

Deadline: August 31, 2017 | Published: July 27, 2017   14:54              

Department: Institute for Risk and Disaster Reduction
Duration: 1, 5+ y        Workload: 100%
Duties: The postholder will be based in the UCL IRDR working with Dr Kostkova's digital health group on three digital global health projects in Low and Middle Income Settings (LMIC): (1) the GASDA project – a gamified antimicrobial stewardship (AMS) decision support app for prescribing behaviour change, (2) the MANTRA project developing an app for women’s resilience in Nepal and (3) a gamified app for community engagement in Brazil. The role will include research into game-based training aimed at healthcare professionals in Nigeria, Nepal and Brazil and other LMIC, and the development of a cross-platform app for a decision tree and gamification for sample infection control policies and guidelines
Minimum Requirements: The candidate should have a higher degree (preferably PhD) in computer science, expertise in serious games research, e-training, excellent programming skills, ability to conduct research into serious games, healthcare app and games analytics independently and conduct assessment with healthcare professionals in the UK and LMIC

Deadline: August 24, 2017 | Published: July 27, 2017   14:51              

Department: School of Computer Science
Workload: 100%
Duties: The purpose of this role will be to have specific responsibility for delivering the research goals of the School of Computer Science’s responsibilities in the 5-year Biomedical Research Centre project, insofar they relate to the Objective Assessment Research Area of the Mental Health theme. The post holder will be expected to develop ground-breaking research in the area of facial expression analysis and audio-visual human behaviour understanding in general. To deliver the research goals of the Objective Assessment research area in the Mental Health theme of the Biomedical Research Centre Nottingham To plan and conduct research using recognised approaches, methodologies and techniques within the research area
Minimum Requirements: Applicants must hold or have a PhD (or equivalent) near completion in Computer Vision, Image Analysis or a closely related discipline. They should have experience with drafting NHS medical ethics applications. They should be able to work both independently and collaboratively and be able to meet tight deadlines

Deadline: August 11, 2017 | Published: July 27, 2017   14:43              

Department: School of Medicine - Rehabilitation & Ageing
Duration: 3 y        Workload: 100%
Duties: The purpose of this role is to lead on qualitative investigation of the effectiveness of different models of Early Supported Discharge service using an explanatory case study design. This is work package 2 of the study. The post holder will lead in the development of programme theories underpinning the realist approach and conduct semi-structured interviews and focus groups with NHS staff and stroke survivors across six study sites
Minimum Requirements: Candidates should hold a PhD andhave relevant qualitative research experience, including leading the writing of qualitative academic publications

Deadline: August 11, 2017 | Published: July 27, 2017   13:59              

Department: Institute for Risk and Disaster Reduction
Duration: 1+ y        Workload: 100%
Duties: The role will include research into data science and dashboard visualisation for healthcare professionals and decision makers in Nigeria, Nepal and Brazil and other LMIC and the development of a cross-platform app for a decision tree and gamification for sample infection control policies and guidelines
Minimum Requirements: The candidate should have a higher degree (preferably PhD) in computer science, expertise in data science, game analytics and visualisation dashboards, excellent programming skills, ability to conduct research into data analytics, healthcare app and visualisation independently and conduct assessment with healthcare professionals in the UK and LMIC

Deadline: August 18, 2017 | Published: July 27, 2017   10:43              

Department: School of Environmental Sciences
Duration: 1 y        Workload: part-time
Duties: Applications are invited for the post of Senior Research Associate to join the project “Atmospheric Observations and Interpretation of Trace Gases, for Greenhouse Gas Inventory Verification”. You will have responsibility for measurements made at Tacolneston, Norfolk where, with the support of a part-time technician, you will ensure the smooth running of the automated instruments, perform quality control measures on the collected data, and will be encouraged to conduct your own independent investigations of the network measurements, with a view to improving understanding of the sources of these gases in the UK
Minimum Requirements: A minimum of a relevant postgraduate research degree or equivalent professional experience in the research area, and be able to fulfil all essential elements of the person specification

Deadline: August 24, 2017 | Published: July 27, 2017   10:31              

Department: UCL Institute of Education
Duration: 2, 5+ y        Workload: 100%
Duties: The successful candidate will be responsible for overseeing the secure maintenance and strategic development of the data resources associated with the four national longitudinal cohort studies at CLS. The post-holder will be expected to lead and manage the CLS Data Management team
Minimum Requirements: You will have an MSC or equivalent experience in a relevant quantitative discipline relevant to data management of the CLS cohort studies. A high-level experience of database design and administration, with a demonstrable capability to deliver strategic changes to the CLS database architecture. You should have proven experience in line management, and you should be able to demonstrate strong communication and interpersonal skills, including the ability to communicate with stakeholders at all levels. An understanding of the management of genomic data in the context of longitudinal cohorts is desirable

Deadline: August 27, 2017 | Published: July 27, 2017   07:53              

Workload: 100%
Duties: Analyse person data to identify shared needs from data collected during one to one guided interviews with individuals in social housing. Model and analyse static and dynamic data collected from sensors in the built and natural environment. Analyse social media data on needs in communities, for example trialling the use of Twitter data to assess the drivers of wellbeing and gaps in provision in three communities in Cornwall
Minimum Requirements: A PhD in a quantitative discipline is essential, ideally in Applied Mathematics, Computer Science, Data Analytics or Statistics
Preferred Requirements: Experience of working in communities and with SMEs, and a track record in the exploitation of research to create social impact

Deadline: August 24, 2017 | Published: July 27, 2017   01:18              

Department: The Department of Mathematics
Duration: 1 y        Workload: 100%
Duties: Conduct teaching in the area related to Actuarial Science. To give lectures and tutorials/workshops in support of the required teaching obligations and to supervise project work by undergraduate and postgraduate students, both campus based and distance students. To provide academic support through electronic, telephone or face to face teaching methods. To monitor the progress of students, including contacting those who do not submit assignments where applicable
Minimum Requirements: PhD (or close to completion) in Mathematics or have passed at least all CT subjects with substantial actuarial industry experience. Experience in delivery of teaching to undergraduates/postgraduates

Deadline: August 29, 2017 | Published: July 26, 2017   23:13              

Duration: 3 y        Workload: 100%
Duties: Develop and execute their own independent research working alongside leading molecular cell biologists to address challenging biological questions using computational and statistical means. In particular the team aims to develop new theories of cancer evolution based on the implications of oncogenic ‘switching’ of massively interconnected pathways. Specifically you will play a key role in the analysis, integration, and interpretation of high-throughput sequencing data in relation to the HIF pathway in kidney cancer
Minimum Requirements: PhD in a relevant subject (or MSc plus extensive practical experience), clear evidence of research productivity (e.g. research publications, programmes and analytical pipelines) and a passion for science

Deadline: August 25, 2017 | Published: July 26, 2017   23:12              

Duration: 2 y        Workload: 100%
Duties: Play a key role in the bacterial resistance analysis group within the mathematical modelling team at the Mahidol-Oxford Tropical Medicine Research Unit (Bangkok). Our research group is aiming to improve our understanding of the spread of drug-resistant bacteria and to help develop and evaluate interventions to combat their spread
Minimum Requirements: PhD or equivalent with experience covering at least one of the following: mathematical modelling, biostatistics, bioinformatics. Experience of analysing large or complex data-sets and experience in scientific programming (ideally including knowledge of R)

Deadline: August 21, 2017 | Published: July 26, 2017   23:12              

Department: School of Mathematics and Statistics
Duration: 3 y        Workload: 100%
Duties: The School is seeking to recruit a Research Associate. This post is funded by an EPSRC Grant `Deformations of Saito-Kurokawa type Galois representations’. The project will develop new tools in the deformation theory of residually reducible Galois representations and study p-adic properties of Saito-Kurokawa lifts in order to prove the paramodularity of abelian surfaces, one of the key open problems in the Langlands programme
Minimum Requirements: You should have a PhD in a relevant area of pure mathematics (or equivalent experience). We are looking for someone with a strong background in algebraic number theory or arithmetic algebraic geometry, with expertise to include some of the following: Siegel modular forms, p-adic families of automorphic forms, p-adic L-functions, and Galois representations

Deadline: August 25, 2017 | Published: July 26, 2017   20:22              

Department: Technology
Duration: 1 y        Workload: 100%
Duties: The objective of this research project is to deliver the next generation robot-enhanced therapy (RET), which will be able to infer the ASD children’s psychological disposition and assess their behaviour in order to select therapeutic actions. It will also develop clinical interactive capacities for social robots. Multi-sensory data will be used to provide quantitative support for the diagnosis and care of ASD
Minimum Requirements: Master/PhD in Robotics or related discipline. Strong software development and real-time programing skills. Experience in multi-modal data sensing and analysis. Good Publications in related Journals and conferences

Deadline: August 29, 2017 | Published: July 26, 2017   12:00              

Workload: 100%
Duties: Support complex client case work, which may include analysis of risk, structuring, pricing and optimising of reinsurance programmes. Working across Property Risk & Catastrophe, Engineering, Motor Liability, General Liability & Professional Liability classes of business. Assist in the development of Actuarial models using programming languages such as Python, SQL and R. Identify and present areas where improvements may be made enabling tasks to be completed in a more efficient manner. Develop knowledge of all Actuarial systems & processes; develop your business, market knowledge and awareness of relevant issues which impact a particular area of practice
Minimum Requirements: Qualified or part qualified Actuary (or equivalent experience). Non-Life Insurance experience with solid knowledge of actuarial methodologies. Strong problem solving and organisation skills. Strong communicator with an ability to build relationships with stakeholders and present information
Preferred Requirements: Ideally exposure to working with Python, SQL or R, although not essential

Published: July 26, 2017   12:00              

Workload: 100%
Duties: With a lively and enthusiastic teaching team, an internationally recognised teaching and learning research profile and a commitment to student-centred learning, it's no wonder our mathematics group consistently achieves excellent student satisfaction levels. We've invested in an exciting future, creating modern physical spaces where staff and students can collaborate - and growing our teaching team. If you have the ability to design and deliver high quality and challenging learning experiences that inspire and motivate students from a range of disciplines to engage with the subject, and are keen to engage in pedagogic developments, we would love to hear from you
Minimum Requirements: In addition to a PhD (or being close to completion), well-developed subject knowledge is vital, including an understanding of critical, practical and theoretical issues relevant to engineering mathematics. This will be vital as you develop and contribute to the delivery of mathematics, principally to students on the various branches of the engineering programme at Sheffield Hallam

Deadline: August 29, 2017 | Published: July 26, 2017   11:49              

Workload: 100%
Duties: Support complex client case work, which may include analysis of risk, structuring, pricing and optimising of reinsurance programmes. Working across Property Risk & Catastrophe, Engineering, Motor Liability, General Liability & Professional Liability classes of business. Assist in the development of Actuarial models using programming languages such as Python, SQL and R. Identify and present areas where improvements may be made enabling tasks to be completed in a more efficient manner. Develop knowledge of all Actuarial systems & processes; develop your business, market knowledge and awareness of relevant issues which impact a particular area of practice
Minimum Requirements: Qualified Actuary with significant post-qualification experience (or equivalent). Non-Life Insurance experience with extensive knowledge of actuarial methodologies. Strong problem solving and organisation skills. Strong communicator with an ability to build relationships with stakeholders and present information
Preferred Requirements: Ideally exposure to working with Python, SQL or R, although not essential

Published: July 26, 2017   11:39              

Department: Engineering
Duration: 3 y
Duties: This project will utilise a novel airborne ultrasound instrument to develop techniques to characterise these structures. Airborne ultrasound systems use high frequency sound waves such as those used for medical imaging and non-destructive testing. However, they do not require direct contact with the sample under inspection, making them suitable for industrial environments. The project will focus on how the sound propagates through these systems and how data is recorded by the instrument
Minimum Requirements: Students should have, or expect to obtain, a first-class or good 2: 1 honours degree, or a distinction or high merit at MSc level (or international equivalent) in Engineering, Physics, Maths or Computer Science. Students should be able to demonstrate an interest in developing instruments and measurement techniques. Students with experience or a willingness to learn software such as Labview and Matlab are encouraged to apply

Deadline: September 24, 2017 | Published: July 26, 2017   10:43              

Department: Medical Physics and Biomedical Engineering
Duration: 2+ y        Workload: 100%
Duties: The post-holder will develop sustainable algorithms and research programmes including machine learning, testing of software for clinical deployment, registration of multi-modal medical images, tracking of surgical tools, workflow analysis. They will contribute to the Centre's strategic scientific objectives, and maximise research effectiveness by fostering collaborative links and maximising opportunities
Minimum Requirements: In our System Integration innovation support theme, we require engineers with in-depth software engineering expertise, and capabilities in system integration. For our three fundamental research themes (Physiological Navigation - Clinician Experience - Precision Instrumentation), we require researchers/engineers with a broad set of technical expertise underpinning the Centre’s software platform and research aspirations. More specifically, we seek applications from researchers/software engineers with expertise in interventional imaging, robotics/instrumentation, and sensing applications

Deadline: August 26, 2017 | Published: July 26, 2017   09:27              

Department: UCL Institute of Health Informatics
Duration: 4 y
Duties: This PhD studentship aims to contribute to the development and application of novel analytics that capitalise on the integration of Big Data in the form of national electronic health record, genomics and other omics (including imaging) to improve the selection and validation of drug-targets. In this project we will develop methods to solve these and related questions. By first intent we will work in the Bayesian inference framework, but less principled machine learning approaches will be investigated if appropriate
Minimum Requirements: Minimum of 2: 1 in first degree in computer science, physics or maths. Master’s degree in medical statistics, bioinformatics, health informatics or data science.. Experience in quantitative data health analysis. Experience in statistical analysis and computer programming with software such as Phyton, Java, R, Stata
Preferred Requirements: Excellent verbal and written communication skills (ranging from informal 1: 1 discussion to formal presentations). Experience in analysing electronic health records and/or routine datasets. Experience in analysing genomics data or any other high-dimensional datasets. Ability to work as part of a team

Deadline: August 30, 2017 | Published: July 26, 2017   09:19              

Department: School of Mathematics and Physics
Duration: until 31st July 2018        Workload: 100%
Duties: The Ogden Physics Fellow must be fluent in problem solving themselves and in presenting them to students, whether in masterclass in the host department, or it student events for groups of schools around the local area. With support from the Isaac Physics Project, the Ogden Physics Fellow will deliver events to students attending target Schools in the local area. The post is based within the School of Mathematics and Physics at the University of Lincoln but there will be a requirement to travel to different locations for meetings and events
Minimum Requirements: Candidates are required to have an honours degree in Physics. The post would suit those who are interested in a transition to school teaching or outreach. Others with teaching experience, who have themselves run student events may also be interested. A strong interest and some experience in outreach would be essential
Preferred Requirements: A PhD in Physics or a related discipline is desirable but not essential

Deadline: August 23, 2017 | Published: July 25, 2017   18:12              

Duration: 3 y        Workload: 100%
Duties: You will be responsible for managing the 3-4 person IGSR project group and will be expected to actively engage with collaborators and potential collaborating projects around the world, with the goal of expanding the scope of IGSR. Maintenance and updates to the IGSR web portal. Creation and running of computational pipelines relevant for variation data. Incorporation of relevant data from new technologies. Collaboration with other EMBL-EBI resources. Publications describing IGSR data sets and processes
Minimum Requirements: PhD Degree in Population or Statistical Genetics, Bioinformatics or equivalent qualification/experience in Computational, Physical or Biological Sciences; Significant experience with computational analysis of genetic variation data arising from high throughput sequencing technologies; Familiarity with population or statistical genomics
Preferred Requirements: Experience in working in large scientific projects, especially in genomics, would be strongly preferred. Previous management experience will be advantage, but is not required. Experience with software development, computational pipelines and basic web technologies will be an advantage

Deadline: August 13, 2017 | Published: July 25, 2017   16:27              

Department: Economics, Mathematics and Statistics
Workload: part-time
Duties: We are currently looking for part-time fixed term Associate Lecturers to teach the following modules beginning September 2017: Probability and Statistics (30CATS credits, level 5, 20 evenings, Wednesdays); Statistical Analysis (first half of 30CATS credit module, level 7, 11 evenings, Tuesdays)
Minimum Requirements: A BSc in Mathematics or an equivalent qualification, with specific subject knowledge of the material covered in the module you wish to teach (although your research interests need not necessarily be in these areas). For Statistical Analysis an MSc or higher qualification in statistics or a related area. Relevant teaching experience, ideally working with adult students within the FE/HE sector. A good understanding of the needs of part-time adult learners and the ability to relate well to their individual needs and engage their interest and enthusiasm. Experience of/or willingness to develop a wide range of teaching and assessment methods. Demonstrably effective communication, interpersonal and presentation skills across a range of relevant contexts. A working knowledge of IT including Word, Excel, email, LaTeX and experience of/willingness to use Moodle (a virtual leaning environment). Able to work both as part of a team and independently as appropriate. Willing to engage in reflective ...
Preferred Requirements: Significant experience of teaching adults from a wide range of backgrounds on open access courses (particularly in HE). A Teaching Qualification

Deadline: August 6, 2017 | Published: July 25, 2017   10:20              

Duration: 2 y        Workload: 100%
Duties: An exciting opportunity has become available for a qualified graduate to develop Digital Capture and BIM integration skills within a business highly innovative in digital technology. The position is funded through the acclaimed Knowledge Transfer Partnerships (KTP) scheme which is a Government-supported initiative, enabling graduates (KTP Associates) to work on exciting and challenging projects in a partnership between a business and a university. This is an opportunity to fast track your career by managing a strategic project that has the potential to contribute to future transformations within the Company
Minimum Requirements: You should hold a degree (high level 2.1 or above) in either engineering, surveying or built environment related discipline with strong IT and computer programming skills

Deadline: August 21, 2017 | Published: July 24, 2017   20:44              

Department: Faculty of Computing, Engineering and the Built Environment
Workload: 100%
Duties: Assisting the ISRC in performing top quality research in the area of energy battery storage of a standard worthy of publication in top rated research journals in the field; Assisting the ISRC in the publishing of quality research journal and conference articles on a frequent basis, of a volume and frequency commensurate with the post; Presenting conference publications at conferences and colloquia as appropriate and being prepared to travel in connection with the needs of the post
Minimum Requirements: Degree in Computing Science, Mathematics, Electronic Engineering or a closely related discipline. Experience in project management which has included using appropriate project management tools
Preferred Requirements: Higher degree in Computing Science, Mathematics, Electronic Engineering or a closely related discipline. Practical experience in predictive analysis using intelligent software using languages such as MATLAB, Java, C# or C++ in Windows and/or Linux environments

Deadline: August 7, 2017 | Published: July 24, 2017   20:44              

Department: Mechanical Engineering
Duration: 4 y
Duties: This project’s goal is to increase our understanding of inhalation absorption by marrying modelling and experimental efforts. The effectiveness of the key clearance mechanisms in selected regions of the respiratory tract as well as the level of in situ absorption will be modeled mathematically
Minimum Requirements: Applicants must have a UK-equivalent first degree in an appropriate mathematics, physics or engineering discipline. Proficiency in applied mathematics and programming (e.g. Matlab) experience are a distinct advantage. Students must have an aptitude for communicating their scientific research to different disciplines

Published: July 24, 2017   10:38              

Department: William Harvey Research Institute
Duration: 3 y        Workload: 100%
Duties: These are two Clinical Research Fellow posts to undertake research degrees (PhD or MDres) at Queen Mary University of London. The fellows will conduct research evaluating novel quantitative imaging technology in a range of cardiac conditions. There is a focus on quantitative CT imaging applications

Deadline: August 8, 2017 | Published: July 24, 2017   09:31              

Department: The Department of Computing
Workload: 100%
Duties: Responsible for developing tools and methods for long-term adaptation to user, context, and environment; improving the framework of multi-lingual audio-visual speech and affect recognition; and conducting research on confidence measures using auto-encoders. Develop approaches and tools to assess children’s language experiences on a large scale across individuals, cultures, and languages
Minimum Requirements: PhD degree (or equivalent) in a relevant subject area i.e. Computing, Engineering or Applied Probability. Experience in one or more of the following areas (in no particular order): Data Mining (on large-scale unlabelled, or partially/weakly labelled data); Machine Learning (Neural Networks, Deep Learning, etc.); Signal Processing (preferably for speech enhancement)

Deadline: August 22, 2017 | Published: July 22, 2017   12:12              

Department: Nuffield Department of Clinical Neurosciences (NDCN)
Workload: 100%
Duties: Your focus in this role will be to develop tools and approaches for mining large, complex neuroimaging datasets. The work will include several key components, such as leading on developing dynamic brain atlases for the study of brain development and ageing, developing and applying multivariate, multimodal data-driven techniques, developing quantitative, biologically interpretable metrics of brain structure, function and connectivity, and linking brain imaging measures to behavioural, phenotypical, and genetic data
Minimum Requirements: PhD in a relevant quantitative domain, such as engineering, physics, mathematics, statistics or neuroscience with an excellent academic track record commensurate with career stage
Preferred Requirements: Experience of MRI-based neuroimaging acquisition and/or analysis and expertise in programming with matlab and/or python

Deadline: August 28, 2017 | Published: July 22, 2017   12:10              

Department: The Nuffield Department of Population Health (NDPH)
Duration: 1 y        Workload: 100%
Duties: Based within the BDI building, you will create, and assist in the creation, of new statistical methods for neuroimaging data analysis. This will include creating and supporting software, evaluating extensions and modification of widely used statistical methods and contributing towards research reports and publications
Minimum Requirements: PhD degree in a relevant subject (mathematics, statistics, computer science or a related discipline) or an equivalent level of experience

Deadline: August 4, 2017 | Published: July 22, 2017   12:09              

Workload: 100%
Duties: One of the specialist themes of the centre is patient profiling and imaging, with the generation of large volumes of cancer molecular data (genomics, transcriptomics, epigenomics, proteomics). The purpose of this post is to develop computational methods for the integration of different types of cancer molecular data
Minimum Requirements: A PhD in Computer Science, Bioinformatics, Quantitative Biology. A strong background in statistics and previous experience with genomic datal

Deadline: August 17, 2017 | Published: July 22, 2017   12:08              

Workload: 100%
Duties: The aim of BAPS is to develop a ground-breaking simulation model of international migration, based on a population of intelligent, cognitive agents, their social networks and institutions, all interacting with one another. In the modelling process, we will use Bayesian statistical principles to design innovative computer simulations, and to learn about the way the simulated individuals make decisions through cognitive experiments. In this way, BAPS will effectively integrate behavioural and social theory with modelling
Minimum Requirements: Will be close to completing, a PhD (or equivalent professional qualifications) with a strong statistical or mathematical component, such as in statistics, demography, economics, mathematics or computer science, and experience in innovative statistical and computational modelling of social processes (e.g. through simulation-based models)

Deadline: August 3, 2017 | Published: July 22, 2017   12:07              

Duration: 1 y        Workload: 100%
Duties: You will develop informatics tools to support data sharing and neuroimaging meta-analysis. This will include selecting, adapting and implementing methods for neuroimaging data sharing and meta-analysis, supporting the creation of user-friendly software and documentation and contributing to the creation of research reports and publications
Minimum Requirements: A degree in a relevant subject (mathematics, statistics, computer science or a related discipline) or an equivalent level of experience

Deadline: August 4, 2017 | Published: July 22, 2017   12:06              

Duration: 3 y        Workload: 100%
Duties: You will focus on two main research topics within the IMforFUTURE project. The first is mixed models, which can be used to correct for the presence of latent structure in the data, such as measurement error in the covariate of interest and overdispersion in count data. A lot of research has been performed on data from unrelated individuals, from which it is known that ignoring measurement errors causes regression coefficient estimates to attenuate towards the null. Little is known about the effect of measurement errors in covariates in random effects models for correlated data, e.g. in twins and sibling pairs
Minimum Requirements: A good undergraduate degree (2: 1 or above)/Masters or equivalent in Statistics, Biostatistics, or Econometrics

Deadline: August 18, 2017 | Published: July 22, 2017   12:06              

Duration: 3 y        Workload: 100%
Duties: You will work alongside the existing developers and: Incorporate more public databases into our existing database, thus extending our coverage of cell types, tissues and species; Implement new bioinformatics pipelines to process different assay types (e.g. DNA methylation and Hi-C); Perform various downstream analyses (e.g. differential analysis of epigenetic signatures); Support international and regional consortia (e.g. IHEC, FAANG) by processing their data and providing expertise
Minimum Requirements: An MSc or PhD, or have an equivalent qualification/professional experience in: molecular biology; bioinformatics; computer science; statistics or; any related field; Experience developing scientific software and analysing the results of large-scale experimental datasets

Deadline: August 20, 2017 | Published: July 22, 2017   12:05              

Department: Engineering Services
Workload: 100%
Duties: You will work autonomously or as part of a wider team of consultants and developers. Provide feedback to MathWorks' software development team to influence the next generation of tools. Work with sales and marketing to develop consulting opportunities with a particular focus on the aerospace and automotive industries
Minimum Requirements: A bachelor's degree and 3 years of professional work experience (or a master's degree) is required. A good first degree from top tier university. 3+ years of relevant hands-on experience, or PhD in a relevant field. Experience with MATLAB and Simulink. French language skills would be highly beneficial
Preferred Requirements: Modeling of physical and control systems. Software development for real-time applications. Programming in C, C++, VHDL or Ada

Deadline: October 19, 2017 | Published: July 21, 2017   11:46              

Department: Medical Physics & Biomedical Engineering
Workload: 100%
Duties: The Research Assistant (RA) will be part of a vibrant team that develops robots and algorithms for regenerative medical interventions in confined spaces. More specifically, the funded project pertains to the development of a micro-surgical robot for the implantation of sight-restoring stem cells to the retina. This specific position aims at developing the software tools that enable haptics-based robot control through the Da Vinci Surgical Console. The RA can be involved in the design and development of real-time algorithms for robot manipulation, software for image acquisition with minimum latency, and the overall framework that provides the computer-aided assistance during the robotic intervention
Minimum Requirements: Candidates must have an M.Sc., equivalent qualification, or equivalent industrial experience in robotics engineering, software engineering, biomedical engineering, or closely related field. Candidates must possess a first or upper second undergraduate degree or equivalent in Mathematics, Engineering, Physics, or related subject, and must demonstrate excellent engineering and communication skills. All candidates must have demonstrable experience of developing software, preferably in a robotics context but not necessarily. Experience with C++ and Python is necessary. Experience with scientific computing platforms (e.g. Matlab/Simulink) is necessary. Familiarity with Robot Programming (e.g. via ROS) would be desirable. Experience in software/hardware integration would be desirable

Deadline: August 23, 2017 | Published: July 21, 2017   07:32              

Department: Institute of Ophthalmology
Duration: 2+ y        Workload: 100%
Duties: The successful applicants will study the activity of large populations of neurons and in the brain of behaving mice. Our group investigates the circuits and computations that lead from vision to recognition, decision, action, and navigation. We rely on a multidisciplinary approach including advanced computational methods, massively parallel neuronal recordings, optogenetics, imaging (widefield, two-photon, and ultrasound), and sensory-driven behaviour in virtual environments. The successful candidates will be expected to take a leading role in all aspects of the project, from designing and performing experiments, to data analysis, to the presentation of the results
Minimum Requirements: Applicants should have a PhD or equivalent in neuroscience, engineering, computer science, mathematics, physics, or a similar field, and an ability to work in a diverse group including computational and experimental neurobiologists. Experience with in vivo electrophysiology, imaging, surgery, and behavioural training is desirable, but outstanding candidates who are willing to learn these skills are also invited to apply. Essential requirements are also experience with analyzing data in MATLAB (or possibly Python), and experience of writing scientific manuscripts as evidenced by a solid record of publications

Deadline: August 19, 2017 | Published: July 21, 2017   00:36              

Department: Institute of Cardiovascular Science
Duration: 2+ y        Workload: 100%
Duties: In this proposal we plan to develop a scan that can be acquired rapidly (5-minutes) during free breathing and doesn’t require expert planning. To achieve this, we will build on our experience in MR physics, computer science, mathematics and clinical CMR. Specifically, we plan to take a 4D approach to CMR that allows assessment of anatomy, cardiac function and blood flow. This project will concentrate on novel MR acquisition (spiral imaging) and reconstruction (compressed sensing, GPU based computing)
Minimum Requirements: The postholder must have a PhD in a relevant subject area (or be in the process of writing up), be able to demonstrate a high level of interest in the academic aspects of MR Physics and an exposure to different research methods. Experience in MR reconstruction is essential. The post holder must have an understanding of Cardiovascular MR physics and the ability to pulse programme in the MR environment

Deadline: August 24, 2017 | Published: July 21, 2017   00:35              

Duration: 3 y
Duties: The Anne McLaren Fellowships are aimed at outstanding female scholars in science, technology, engineering and medicine at the early stage of their academic careers, who are typically under-represented in these subjects, and wish to establish a research career in the UK. The Nottingham Research Fellowships are targeted at exceptional postdoctoral researchers in most academic disciplines represented at the University
Minimum Requirements: Candidates must have been awarded their PhD. They must have had no more than eight years full-time postdoctoral experience from the date of award of the PhD

Deadline: November 3, 2017 | Published: July 20, 2017   14:47              

Department: Department of Oncology
Duration: 3 y        Workload: 100%
Duties: The successful candidate will work on projects spanning basic and clinical investigations, resulting in high profile collaborative publications. A key member of a recently formed Bioinformatics Hub, they will provide functional genomics expertise to support principal investigators and groups in the Institute. The successful applicant will also receive a range of advanced training to build and extend their professional portfolio. Training will be tailored to the successful candidate but we envisage it will cover advanced computing, analytics of high dimensional datasets, and a broad range of technologies including genomics, proteomics and high-throughput cell screens
Minimum Requirements: You will have a PhD in genomics, bioinformatics or computational biology alongside working knowledge of current genomic and functional high-throughput assays, and related analysis methods. Demonstrable experience in use and management of bioinformatics pipelines, preferably in the context of human disease and cancer, is also essential

Deadline: August 25, 2017 | Published: July 20, 2017   14:16              

Workload: 100%
Duties: The successful candidate will join an ERC funded project investigating the importance of selection on the haploid genotype in male gametes in animals. The aim is to develop a conceptual framework to analyse large-scale NGS data to identify signs of selection and the role of additive genetic variation at the gametic stage. The postholder will work on existing NGS datasets from experimental projects in zebrafish. Experience in population genomics and bioinformatics is a required pre-requisite, as is proficiency in Python or Perl
Minimum Requirements: You will have a minimum of a PhD in Evolutionary Genomics, Bioinformatics or Population Genetics, and be able to fulfil all essential elements of the person specification. You must also have recent research experience with genomics experimentation

Deadline: August 7, 2017 | Published: July 20, 2017   14:08              

Department: Engineering
Workload: 100%
Duties: The person appointed will develop novel approaches to the structural modelling of aircraft and will be working at the forefront of aircraft modelling and virtual prototyping technologies. As a result, this position offers the opportunity for close collaboration with industrial partners (Airbus). Prepare reports and presentations to communicate project outcomes and milestones to partner organisations (Airbus, EU). Organise and participate in meetings with partner organisations to clarify objectives and communicate research outcomes. Maintain work plans and time records to facilitate project management and auditing requirements
Minimum Requirements: Candidates must have extensive experience of applying the ABAQUS finite element package to the analysis of composite material structures made from laminates and/or woven textile composites. The candidate will also have experience of scripting the ABAQUS/CAE system using the Python programming language. Candidates are expected to hold a good degree in Mechanical Engineering or a related discipline and to be qualified to PhD level or be close to completion, ideally in an area involving the finite element analysis of composite materials

Deadline: August 21, 2017 | Published: July 20, 2017   12:29              

Department: Faculty of Engineering – George Green Institute for Electromagnetics Research
Workload: 100%
Duties: The successful candidate will undertake research and knowledge transfer on the design of novel techniques in computational electromagnetics and their application in the design of Next-Gen TeraHertz applications. To deliver research as part of a collaborative team and contribute to the achievement of specific research objectives as defined by line manager. To collaborate in writing papers for submission to journals and conferences and prepare progress reports on the results of research
Minimum Requirements: Candidates must have a good (2.1) first degree (or equivalent) in electrical/electronic engineering or a related subject; a PhD or equivalent (or near completion) and research experience in computational techniques. Experience in programming for high performance computing applications is required. Experience in time domain modelling techniques and boundary element methods is especially welcomed

Deadline: August 21, 2017 | Published: July 20, 2017   12:25              

Department: Medical Physics & Biomedical Engineering
Workload: 100%
Duties: The Research Associate will be part of a vibrant team that develops robots and algorithms for regenerative medical interventions in confined spaces. This specific position aims at developing the mechatronics and control components that enable image-guided delivery of the said stem cells with a sub-millimetre flexible robot. The post-holder can be involved in the design and development of the robotic system’s actuation and control, and the overall framework that provides the computer aided assistance during the robotic intervention. They will have the opportunity to be involved in all aspects of robot design, testing, and deployment to the operating theatre
Minimum Requirements: Candidates must have a PhD, equivalent qualification, or equivalent industrial experience in mechanical engineering, biomedical engineering, or closely related field. Candidates must possess a first or upper second undergraduate degree or equivalent in Mathematics, Engineering, Physics, or related subject, and must demonstrate excellent engineering and communication skills. A strong publication record is expected. All candidates must have demonstrable experience of mechatronics system design, modelling, and development, preferably, but not necessarily, in an image-guided robotic surgery context

Deadline: August 22, 2017 | Published: July 20, 2017   11:33              

Department: Life Sciences
Workload: part-time
Duties: Teaching duties will include the delivery of Lectures, Tutorials, Supervision of field and laboratory work, and the assessment of student performance in each of these. In particular, the role holder will deliver the teaching of an existing member of academic staff (Dr Andrew MacColl. The role will include delivery of content in the following areas: Biodiversity (field course), Evolutionary Ecology, Parasitology, and Statistical analysis of biological data, as well as supervision of Honours project work in related areas. In addition to the delivery of existing content, the role holder will be involved in the development of new teaching and assessment practices in these areas and disseminating these practises within the School/Faculty
Minimum Requirements: Candidates must hold a PhD or equivalent in Zoology, Evolutionary Biology, Ecology or relevant subject area or an equivalent professional qualification. Experience of delivery and assessment of teaching in a Higher Education setting is a requirement and it is desirable that candidates be supported by a Higher Education teaching qualification (or working towards)
Preferred Requirements: Recent experience in module convenorship, use of Moodle (or similar online learning environment) are highly desirable

Deadline: August 18, 2017 | Published: July 20, 2017   11:16              

Department: The Faculty of Engineering and Environment
Workload: 100%
Duties: Working within the Department of Computer and Information Sciences, you will provide expertise in an area of Computer Science to further enhance research, teaching and entrepreneurial activities. This will include designing, developing and delivering high quality teaching activities, undertaking individual and joint research to produce quality academic outputs and inform teaching and participating in external activity to generate income and promote the subject
Minimum Requirements: A first degree and be either qualified (SL) or soon to be qualified (L) to Doctoral level in a relevant discipline and have subject expertise in Computer Science with specialist knowledge gained through research activity, professional practice or consultancy

Deadline: August 20, 2017 | Published: July 20, 2017   11:05              

Duration: 2 y        Workload: 100%
Duties: You will work on the project “Practical Data-intensive Secure Computation: a Data Structural Approach”. The aim of the project is to investigate how data structures can be used as an efficiency and scalability booster in the context of secure computation Contribute to the design of an open source software package. Contribute to academic dissemination activities, including writing papers and presenting at conferences) as well as help organising dissemination events, e.g. workshops. Work to deadlines and manage, with support, competing priorities
Minimum Requirements: PhD in a relevant subject area e.g. Computing Science. Good programming skills (C++/Java, parallel/GPU computing experience is a plus)
Preferred Requirements: Experience/knowledge in one or more of the following areas: computer networks, operating systems, databases, statistics and data mining

Deadline: August 16, 2017 | Published: July 20, 2017   11:03              

Department: Department of Political Science
Duration: 10 m        Workload: 35%
Duties: Main duties of the post include: teaching and delivery of the Advanced Quantitative Methods module for Masters students; seminar leader for up to four seminars per week; generating weekly class sessions and exercises; providing demonstrations; responding to student’s questions in an online forum and answering questions for material presented in lecture
Minimum Requirements: The applicant must a hold or be in the process of submitting a PhD or be currently enrolled in a PhD programme in politics or an appropriate discipline. The applicant must have a clear understanding of and ability to teach standard political science methods, (maximum likelihood, causal inference, panel data, limited dependent variables) and preferably machine learning techniques, (supervised and unsupervised learning) and have an excellent working knowledge of R and RStudio
Preferred Requirements: Previous experience of teaching quantitative research methods at the postgraduate level and experience in using GitHub for teaching would be desirable

Deadline: August 11, 2017 | Published: July 19, 2017   16:55              

Duration: 3 y        Workload: 100%
Duties: Develop novel approaches to investigate the patterns DNA sequence change through the evolution of species and development of cancers. Apply these approaches to better understand the molecular processes that drive mutagenesis and how these differ between regions of the genome and distinct cellular contexts. Maintain accurate and up-to-date records to document the research progress. Take a lead role in writing up data for publication in peer-reviewed journals. Present data at group and section meetings. Contribute to the dissemination of research at national and international meetings
Minimum Requirements: PhD or near completion in a biological, mathematical, computational or related scientific field. Extensive research experience in computational genomics or a related discipline. Experience and demonstrated success in leading aspects of research projects evidenced by prominent authorship of peer-review publications

Deadline: August 17, 2017 | Published: July 19, 2017   16:38              

Department: Primary Care & Population Sciences
Duration: until 31/08/2019        Workload: 100%
Duties: An exciting opportunity is available for a talented researcher to join a successful team carrying out qualitative research and developing digital e-health interventions for eczema. The post is available within the Academic Unit of Primary Care and Population Sciences.The work will involve carrying out interviews, synthesising and analysing qualitative data, and helping with planning, developing and evaluating interventions
Minimum Requirements: Applicants will have an in-depth understanding of qualitative methods and health psychology or a closely related subject and will be starting to build their academic standing, aiming to gain recognition at a national level. Your knowledge and experience will usually have been gained through a relevant PhD (or equivalent), but may also have been achieved via other research experience, normally supported by a relevant postgraduate degree (e.g. MSc in Health Psychology)

Deadline: August 17, 2017 | Published: July 19, 2017   16:37              

Department: Institute for Translational Medicine and Therapeutics
Duration: until 31 March 2019        Workload: 100%
Duties: To develop a “Big Data” translational platform for data curation, quality control and standardized analysis of complex clinical, environmental, lifestyle, imaging and ‘omics’ data. The translational platform is envisioned as a tool developed particularly to enable non-data science specialists to visualize and interrogate such large, complex datasets. The platform will lay the foundation for the development of transformative tools for high-quality, reproducible data-analytics driven clinical research for discovery of modifiable risk factors, evidence for personalized approaches to treatment and monitoring medicine and new early markers of disease. The initial focus will be on diseases of the brain
Minimum Requirements: To apply you must have a PhD (or equivalent) in an area pertinent to the research subject e.g. computer science, applied mathematics, informatics, or a related subject or significant experience in relevant field. We are seeking candidates with a track record of biomedical research with solid knowledge in handling/processing large and complex datasets; ability to conduct and complete research and development projects, working knowledge of modern analytical programming languages (e.g. R, Matlab, Python toolkits) and programming languages (e.g. Java, Perl, C/C++); basic shell scripting in UNIX
Preferred Requirements: Previous experience with SQL is a plus

Deadline: August 17, 2017 | Published: July 19, 2017   12:23              

Duration: 3 y        Workload: 100%
Duties: The successful candidate will work as part of the Variation Annotation team whose responsibilities will include: Developing efficient methods for the management of large scale variation data. Developing and maintaining tools for the functional annotation of variants. Designing and building databases of genomic variation. Developing and maintaining our Perl and REST APIs. Identifying and integrating of new sources of genomic variation and phenotype data. Developing effective ways of displaying variation data. Liaising with members of the broader Ensembl team and other groups at EMBL-EBI
Minimum Requirements: You should have a first degree and either a higher degree or equivalent experience in genetics, biological or computational sciences. You will have experience of working in a production development environment, ideally creating both efficient large-scale data analysis pipelines and user-friendly tools and APIs. You should be familiar with all stages of the software development process and be used to working to deadlines. You will be comfortable working in a UNIX/Linux environment and have extensive programming experience, preferably using OOP. You will have experience of RDMS, preferably with MySQL
Preferred Requirements: Ideally, you will have a strong knowledge of Perl; familiarity with Python and C will also be an advantage. Experience of managing genomics data and working with bioinformatics or statistical tools will be an advantage. Familiarity with the Ensembl APIs will be an advantage

Deadline: August 13, 2017 | Published: July 19, 2017   12:22              

Department: Centre for Primary Care and Public Health - Blizard Institute
Duration: 3 y
Duties: We are looking for a statistician to join a thriving and dynamic clinical trials unit supporting high quality clinical trials in primary care, psychiatry, women’s health, surgery and beyond. The post will involve contributing to trial protocols, participating in trial steering committees, developing statistical analysis plans, conducting statistical analyses, and liaising with other researchers and health professionals within and outside the Centre for Primary Care and Public Health
Minimum Requirements: You will possess a higher degree in statistics or other relevant subject (MSc or higher), have some experience of medical research and a good knowledge of clinical trial design and analysis. You will also be a strong and enthusiastic communicator about the value of sound statistical approaches. The ability to work as part of a team and to organise and prioritise your own work are essential

Deadline: August 14, 2017 | Published: July 19, 2017   07:50              

Department: Centre for Primary Care and Public Health - Blizard Institute
Duration: 1+ y        Workload: 100%
Duties: The purpose of this post is to give advice on statistics and quantitative research methods to researchers consulting RDS London (and occasionally those referred by RDS South East region), and to contribute to the work of the PCTU by providing statistical support to studies from their development through to publication. In addition, the post-holder will be expected to do a small amount of teaching
Minimum Requirements: You should have a higher degree in statistics or equivalent, and previous experience of research in healthcare. You should have an interest in new developments in quantitative research methods, particularly in clinical trial design and practice. You will need some knowledge of sources of UK funding for health research, and must be able to work independently or as part of a team

Deadline: August 16, 2017 | Published: July 19, 2017   07:48              

Workload: 100%
Duties: Provide the technical actuarial input and analysis needed in order to build experience and/or exposure based underwriting risk models for a wide range of clients. Work with the Brokers across the business to price and structure reinsurance programmes using these underwriting risk models and identify which structures are best aligned with client objectives. Identify opportunities where actuarial and/or cat modelling science and analysis can be used to add value to client discussions
Minimum Requirements: Knowledge of actuarial pricing techniques. Understanding of key insurance concepts
Preferred Requirements: Experience of programming in R and SQL will be an advantage. Experience of using data modelling tools including SAS, MetaRisk or similar will be beneficial

Published: July 19, 2017   02:26              

Department: Medical Physics & Biomedical Engineering
Duration: 2+ y        Workload: 100%
Duties: The Post-Doctoral Research Associate (PDRA) will be part of a vibrant team that develops robots and algorithms for regenerative medical interventions in confined spaces. More specifically, the funded project pertains to the development of a micro-surgical robot for the implantation of sight-restoring stem cells to the retina. This specific position aims at developing the computer vision tools that enable image-guided delivery of the said stem cells. The PDRA can be involved in the design and development of real-time algorithms for tool segmentation, retinal image analysis, multi-modal image registration, and the overall framework that provides the computer-aided assistance during the robotic intervention
Minimum Requirements: Candidates must have a PhD, equivalent qualification, or equivalent industrial experience in computer vision, computer science, medical image computing, biomedical engineering, or closely related field. Candidates must possess a first or upper second undergraduate degree or equivalent in Mathematics, Engineering, Physics, or related subject, and must demonstrate excellent engineering and communication skills. A strong publication record is expected

Deadline: August 20, 2017 | Published: July 18, 2017   14:22              

Department: Geography; Applied Mathematics and Theoretical Physics
Duration: 2 y        Workload: 100%
Duties: A new multi-scale atmospheric modelling framework will be used in two applications: the simulation of extreme precipitation events in coastal areas and the study of atmospheric pollution in an urban context. The post is part of two projects: the European Consortium PEARL - Preparing for Extreme And Rare events in coastaL regions - and the UK consortium MAGIC - Managing Air for Green Inner Cities. The main goal of PEARL is to develop adaptive risk management measures and strategies for coastal communities against extreme hydro-meteorological events. MAGIC aims to develop a new modelling capability and decision support system to reduce air pollution and temperatures in cities
Minimum Requirements: Applicants should have a doctorate in atmospheric physics or a related field and ideally a strong background in high-resolution modelling of atmospheric processes. Proficiency in computer programming (e.g. FORTRAN) and model development is expected
Preferred Requirements: Experience with cloud aerosol microphysical and surface flux parameterisations or atmospheric chemistry is advantageous

Published: July 18, 2017   11:01              

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

Published: July 18, 2017   10:59              

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

Published: July 18, 2017   10:59              

Department: UCL Institute of Neurology
Duration: 1+ y        Workload: 100%
Duties: The successful candidate will join a research group investigating perceptual decision making and sensory processing using magnetoencephalography (MEG), electroencephalography (EEG) and computational modelling. Additional techniques may include behavioural and neurostimulation techniques such as TMS or tDCS. The appointee will contribute to the ongoing cutting edge programmes of research, including research projects concerning the link between computational models of decision making and action selection, and their mapping into high precision electrophysiological responses obtained from novel MEG approaches developed in the lab
Minimum Requirements: Applicants must have a PhD in neuroscience or related area, and must demonstrate expertise in functional neuroimaging data analysis. Expertise in working with and programming in, Matlab or Python is essential. Good mathematical skills, an excellent academic record with evidence of independent and creative work, strong English writing and communication skills, and an ability to work independently and as part of a team are also essential

Deadline: August 20, 2017 | Published: July 18, 2017   07:32              

Department: School of Biological & Chemical Sciences
Workload: 100%
Duties: We seek to appoint a candidate who will contribute particularly to the delivery of high-quality Mathematics teaching for students on the Science and Engineering Foundation Programme (SEFP) and Core Maths Support for students undertaking BSc degrees in the School of Biological and Chemical Sciences. The post-holder will lead on the teaching and assessment of the Mathematics modules run in SBCS. This will include developing existing material in conjunction with the Director of Foundation Programmes and the Director of Taught Programmes
Minimum Requirements: Applicants should have an Undergraduate degree and Postgraduate degree and/or relevant professional qualification and/or equivalent professional experience. Applicants must have appropriate subject knowledge and have proven ability to teaching at foundation and undergraduate level

Deadline: August 15, 2017 | Published: July 17, 2017   15:12              

Department: Institute for Global Health
Duration: 3 y
Duties: The exact research questions to be addressed in the PhD will be adapted depending on the student’s own research interests. Potential questions could be related to one or more of the following: Association of demographic and socio-economic factors with treatment responses including treatment discontinuations and interruptions. Predictors of (HIV-related and non-HIV related) clinic attendance patterns and hospitalisations. Association between infrequent HIV clinic attendance and treatment outcomes. Burden of non-HIV medication and association with HIV outcomes
Minimum Requirements: Applicants should hold a first or upper second class honours degree in a relevant subject (e.g. mathematics, statistics, epidemiology, science) and an MSc in a relevant subject (e.g. medical statistics, epidemiology). Excellent skills in quantitative research methodology, statistical methods, analysis of large and complex datasets, data management, and the use of statistical software are all essential. Although there is flexibility with regard to which statistical package is used for analyses, a large part of data management will use SAS, and so knowledge of or willingness to learn this package is essential. Applicants should also have excellent oral and written communication skills

Deadline: July 28, 2017 | Published: July 16, 2017   13:34              

Department: The Nuffield Department of Population Health (NDPH)
Duration: 1 y        Workload: 100%
Duties: The Statistical Programming Training Fellowship scheme within the CTSU represents an exciting opportunity to support post-Masters statisticians in a period of early career training. The aim of the scheme is to give training in applied statistical programming, analytic and transferable skills, in preparation for the broader requirements of a career as a statistical scientist
Minimum Requirements: Masters in Medical Statistics or a closely related field involving substantial training in statistics. Statistical programming training will be provided in SAS, R and genetics software on large datasets (including genetic and processed imaging data) to attain milestones that will facilitate the fellows’ future ‘Big Data’ research

Deadline: August 14, 2017 | Published: July 15, 2017   23:57              

Department: The Department of Computer Science
Workload: 100%
Duties: Develop novel algorithms for mining, analysis, integration and validation of multimodal data generated from the 3DOrbiSIMS instrument. These will include the development of machine learning algorithms for mass spectrometry imagining data and the study of the fundamentals of deep learning using a large volumes of data produced at NPL
Minimum Requirements: A first class honours degree, or an upper second class honours degree in Computer Science, Mathematics, Physics, or related discipline. Strong programming skills in languages such as C++, Java, Matlab, Python, etc

Deadline: August 14, 2017 | Published: July 15, 2017   23:54              

Duration: 1 y        Workload: 100%
Duties: Develop study design and analysis plans for the research programme in conjunction with other members of the team and external collaborators where necessary considering the application of novel methods. Conduct data analyses maintaining well documented analysis code using a code repository. Interpret statistical results and prepare analysis output ready for reporting, publication and presentation. Actively collaborate either as co-author or lead author in drafting publications with the rest of the team
Minimum Requirements: PhD or near completion in numerate discipline, i.e. statistics, mathematics, computer science, bioinformatics, epidemiology or equivalent. Experience of analysing large datasets. Experience of data manipulation, cleaning and data management

Deadline: August 14, 2017 | Published: July 15, 2017   21:25              

Department: Oncology
Duration: 3 y        Workload: 100%
Duties: To provide expert medical physics scientific support in a range of areas of work related to radiotherapy research and development, with a focus on the strategic goals of the Cancer Research UK (CRUK) ART-NET grant. The key aims are to advance radiotherapy with protons, MRI linac and SABR in the UK. We are looking for three highly motivated postdoctoral researchers with significant expertise in computer modelling, imaging and applied mathematics, and medical physics alongside a pragmatic mindset to guide the first steps of implementation in a clinical environment
Minimum Requirements: You will hold, or be working towards, a PhD in imaging, medical physics or a related subject (applied mathematics) and you will have clinical experience of dose calculation and planning. The successful candidates must be able to fulfil the role of Medical Physicist as required by the Ionising Radiations (Medical Exposures) Regulations 2000, IR(ME)R (Statutory Instrument 2000 No.1059) in an area of Radiotherapy Physics, e.g. radiotherapy imaging, treatment planning, radiation dosimetry etc

Deadline: August 18, 2017 | Published: July 15, 2017   15:31              

Department: Clinical Neurosciences
Duration: 2 + 1 y        Workload: 100%
Duties: The Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB) seeks a postdoctoral researcher to work in developing and applying novel approaches for comparing the organisation of the brains of humans and non-human primates based on their brain connections using diffusion-weighted MRI tractography. You will be contributing to new developments in modeling large scale brain connections, linking the organisation of connections to brain function, and validating in vivo tools against invasive methods. The work involves the acquisition and analysis of MRI data obtained from post-mortem brain samples of different species
Minimum Requirements: You should hold a relevant PhD/DPhil or be near to completion, together with advanced skills in data analysis, with the necessary mathematical and computational skills to put these into practice
Preferred Requirements: Skills in computer programming (e.g. Matlab) and knowledge of existing MRI analysis packages (e.g., Freesurfer, FSL) are highly desirable. Knowledge in methods for analysing neuroimaging data is desirable but not essential

Deadline: August 18, 2017 | Published: July 15, 2017   15:27              

Workload: 100%
Duties: Assisting the lead consultant on the delivery of strategic and day to day consulting advice that requires detailed ongoing client knowledge as well as good working relationships with key client contacts. Contributing to client meeting preparation e.g. setting the agenda and content for meeting packs; and liaising with the client and senior consultants. Working with the Retirement Service Centre, Specialty Groups and other Mercer businesses to deliver a streamlined service to clients. Dealing with routine queries received from clients, scheme members, third parties and other Mercer businesses. Getting involved in valuation and accounting processes e.g. project management, liaising with key stakeholders etc
Minimum Requirements: An extensive understanding of how UK pensions schemes operate and the ability to interpret rules and awareness of what they mean for client work. Good analytical skills and ability to work through tasks in a logical manner. Strong IT skills with good working knowledge of Microsoft Office, including Excel. Excellent planning and organisational ability in order to prioritise and complete work in accordance to deadlines. Educated to degree level (minimum 2: 1) in a numeric subject

Published: July 15, 2017   14:16              

Department: Cell & Developmental Biology
Duration: 2 y        Workload: 100%
Duties: Applicants are invited for a postdoctoral scientist to study the role of RNA structure in the post-transcriptional regulation of gene expression in genome-wide scale. The successful candidate will join a team working on the Big Data Mining of the genome-wide in vivo RNA structure study and corresponding modelling development. They will perform deep sequencing data 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 identifying new model for interpret the RNA structure probing information
Minimum Requirements: The successful post holder will have an excellent computer science, applied mathematics, statistics or bioinformatics background. The John Innes Centre is a world-class institute and is looking to appoint an exceptional and highly motivated candidate who has, or expects to soon receive a PhD in Computer Science, Applied Mathematics, Bioinformatics or Biology. We will provide the job-holder with opportunities to develop their skills and knowledge by excellent training opportunities in the fields of Big Data Mining and RNA biology
Preferred Requirements: Extensive experience in genomic data analysis, machine learning and data mining is desirable but not essential

Deadline: August 3, 2017 | Published: July 15, 2017   14:16              

Workload: 100%
Duties: Analysis and interpretation of scheme rules, actuarial instructions and the production of basic calculation specifications. Undertake aspects of the data load process including the identification and analysis of queries, the production of data risk reports and setting up scheme profiles. Undertaking aspects of the data cleanse process with supervision including data analysis, data cleanse, data reconciliation and issue resolution. Maintain accurate records to evidence the progress and profit of each project. Provide accurate and timely cost estimates for Project work where requested. Development of standards and best practice
Minimum Requirements: Proven Cessation or Pension Protection Fund (PPF) Administration experience. Proven experience of prioritising and working on multiple tasks simultaneously. Previous administration experience with good analytical and reporting skills. Flexible and adaptable to work demands with a willingness to learn and take on new challenges. Proficient in the use of MS Excel. QPA or DPC part/qualified or studying towards APMI
Preferred Requirements: Preferably educated to degree level (or equivalent)

Published: July 15, 2017   14:16              

Workload: 100%
Duties: Analysis and interpretation of scheme rules, actuarial instructions and the production of basic calculation specifications. Undertake aspects of the data load process including the identification and analysis of queries, the production of data risk reports and setting up scheme profiles. Undertaking aspects of the data cleanse process with supervision including data analysis, data cleanse, data reconciliation and issue resolution. Maintain accurate records to evidence the progress and profit of each project. Provide accurate and timely cost estimates for Project work where requested. Development of standards and best practice
Minimum Requirements: Proven Cessation or Pension Protection Fund (PPF) Administration experience. Proven experience of prioritising and working on multiple tasks simultaneously. Previous administration experience with good analytical and reporting skills. Excellent interpersonal and communication skills, both written and verbal. Flexible and adaptable to work demands with a willingness to learn and take on new challenges. Proficient in the use of MS Excel
Preferred Requirements: Preferably educated to degree level (or equivalent). QPA or DPC part/qualified or studying towards APMI

Published: July 15, 2017   14:15              

Department: Leverhulme Research Centre in Forensic Science
Workload: 100%
Duties: The Post-Doctoral Research Assistant within the Leverhulme Centre will be part of the core research team along with the Principal Investigators. You will work on innovative, inter-disciplinary research, engage in the development of collaborative research activities and provide leadership on projects requiring statistical expertise. As part of the team you will be an active contributor to projects, to drive Forensic Science forward and generate maximum impact within the community
Minimum Requirements: Possess sufficient depth of knowledge in research area to be able to work independently and as part of research team. • Excellent written, verbal and IT communication skills. • Confident and engaging presenter. • Advanced problem-solving ability, with a desire to explore creative solutions. • Rigorous work ethic with an eye for attention to detail. • Experience of conducting research to high academic standards. • Demonstrable experience of being highly flexible and creative in their approach to work. • Educated to PhD level

Deadline: August 13, 2017 | Published: July 15, 2017   14:14              

Department: Life Sciences
Duration: until 28 February 2018        Workload: 100%
Duties: Applications are invited for a research assistant position to work on a large Neglected Tropical Diseases (NTD) grant. Many urgent policy issues concerning the control and elimination of neglected tropical diseases (NTDs) can only be answered through high-quality quantitative modelling. You will be key to the project, which with other researchers based in a consortium comprising Warwick and eleven other universities around the world will undertake research into nine diseases commonly found in some of the poorest populations in the world. The post will work on “modelling to determine indicators of disease elimination”. Applicants with expertise in the areas of infectious disease modelling are encouraged to apply
Minimum Requirements: Good honours degree or equivalent in Mathematics or related discipline. eg: quantitative epidemiology, statistics. Expertise in the areas of infectious disease or biological modelling. Ability or potential to publish excellent work in relevant fields. Good effective communication (oral and written) skills, presentation and training skills. Competency in IT and familiarity with a computerised environment. A range of quantitative and/or qualitative research skills
Preferred Requirements: A developing track record in producing high quality academic publications. Evidence of quality research output from experienced candidates or strong research potential from less experienced candidates. Ability to write research reports and papers in styles accessible to both academic and policy audiences. Knowledge of the theory of “critical slowing down” and its potential applications in epidemiology

Deadline: August 13, 2017 | Published: July 15, 2017   14:14              

Department: Computing
Duration: until 21 September 2018        Workload: 100%
Duties: We are seeking to hire one postdoctoral researcher in the broad area of spatial data management and data science, conducting research on massively parallel data analytics. The work will focus on spatial data and high impact interdisciplinary research, contributing to the development of ground breaking and novel data management techniques strongly motivated and used in other disciplines. The successful candidate will have experience and interest in the following areas: spatial data management, spatial indexing & analytics, large-scale spatial data analysis, and data science/analytics. You will work closely with PhD students and support teaching efforts of the group
Minimum Requirements: You must have a PhD (or equivalent) in a relevant subject area. You must also have excellent communication skills and prioritise work to meet deadlines. Please note that only candidates with publications in the relevant areas will be considered

Deadline: August 14, 2017 | Published: July 15, 2017   14:13              

Department: Statistics
Duration: 3 y        Workload: 100%
Duties: Project “Novel Bayesian methods for comparing and evaluating infectious disease models in the light of partially observed data”. To develop new Bayesian methodology for comparing, evaluating, developing and improving infectious disease models that have been fitted to incomplete data. Such methods have the potential to unlock new approaches for understanding the epidemiology of infection and set new benchmarks for the use of epidemic models to underpin quantitative prediction and decision-making. The new methods will be applied to and illustrated with important infectious epidemiological datasets. The postholder will have the opportunity to collaborate with researchers in the newly established Zeeman Institute
Minimum Requirements: Good honours degree in an appropriate subject. Possession of a PhD or equivalent in Statistics or a closely allied discipline. Ability to develop and deliver high-quality esearch and to publish in peer-reviewed journals. Ability to develop academic software in an appropriate programming language, such as R
Preferred Requirements: Excellence in published work in relevant fields to the project

Deadline: August 13, 2017 | Published: July 15, 2017   14:13              

Department: School of Engineering & Materials Science
Workload: 100%
Duties: The School of Engineering and Materials Science at Queen Mary University of London has a vacancy for a Postdoctoral Research Assistant (PDRA) to work on an interdisciplinary project funded by the UK Natural Environment Research Council (NERC). The project, which results from a collaboration between SEMS and QMUL’s School of Geography, seeks to develop a computational model of the hydrodynamics of suspended particulate matter (flocs) in aquatic environments such as rivers and estuaries, combining numerical models of the microscale fluid mechanics with state-of-the-art 3D nanoimaging of the floc structures
Minimum Requirements: The candidate will hold a PhD in engineering, physics, applied mathematics or related subjects, will have excellent numerical code writing ability and a strong background in computational multiphase fluid mechanics (as applied, for example, to porous media flows, particulate flows, or similar). A solid fluid mechanics knowledge is required
Preferred Requirements: This interdisciplinary project team combines experimental work and expertise in numerical modelling. Therefore prior experience with or interest in working alongside experimentalists is desirable

Deadline: August 11, 2017 | Published: July 15, 2017   11:37              

Department: Vector Biology
Duration: until Dec 2019        Workload: 100%
Duties: We are looking for a mid-level statistician or mathematical biologist to strengthen our biological sciences research agenda. We are particularly keen to appoint statisticians with interest in vector borne diseases and parasitology/neglected tropical diseases. Responding to the rapid spread of insecticide resistance in African mosquito populations and the urgent need for new control tools, a project is developing rapid cost-effective bioassay protocols for quantifying a range of insecticidal effects over a mosquito’s lifetime. The eventual goal is a testing pipeline for optimizing assessment of new vector control products
Minimum Requirements: It is essential that the successful candidate holds a first degree and a postgraduate degree in statistics with a major component of medical statistics. You will also need to evidence experience in a health-related research environment using statistical research methods. The ideal candidate we are looking for can not only grasp complex research problems, understand basic medical information and readily identify hypotheses to be tested, but can explain complex statistics to others who have minimal statistical knowledge

Deadline: August 14, 2017 | Published: July 15, 2017   09:46              

Duration: 2, 4 y        Workload: 100%
Duties: To identify the data that will be integrated into PDBe infrastructure and define formats and ontologies for its standardisation; to design and develop a process for data integration; to design and develop reusable web components to display this data on the PDBe website; to integrate the data in the PDBe search system; to extend the existing PDBe REST API by developing new calls to export this data
Minimum Requirements: We are looking for a bioinformatician with strong software engineering skills. The post holder should be able to work both independently and in close collaboration with the rest of PDBe team members and with other teams at EMBL-EBI. Excellent communication and interpersonal skills as well as excellent knowledge of English are therefore required. You should hold a Master’s degree or Bachelor’s degree and minimum 2 years’ work experience in Bioinformatics, Computer Science or related subjects. Strong knowledge of structural biology, protein sequencing or enzyme chemistry is expected. The ideal candidate would have a PhD in Bioinformatics or related fields

Deadline: August 13, 2017 | Published: July 14, 2017   19:30              

Department: Civil, Environmental & Geomatic engineering
Duration: 3 y        Workload: 100%
Duties: The project investigates algorithms required to produce generalised 3D maps from detailed 3D City Models. It takes into account the multiple levels of detail required when interacting with and understanding a 3D scene, starting at the building and moving out to the city, and combines two aspects of the problem – research into algorithms required to generalise 3D datasets and research into user needs
Minimum Requirements: Applicants should be interested in 3D City Modelling – e.g. Computer Graphics, Gaming, Building Information Modelling, Geographical Information and should possess a strong bachelor’s degree (1st Class or 2: 1) or Masters Degree a related discipline. Candidates will ideally have some relevant previous research experience and should have excellent communication and presentation skills

Deadline: July 28, 2017 | Published: July 14, 2017   15:37              

Department: School of Mathematics & Statistics
Workload: 100%
Duties: To develop, lead and sustain research of international standard in Mathematics, to contribute to teaching at undergraduate and/or postgraduate level, and to participate in School management and organisation
Minimum Requirements: A PhD (SCQF Level 12) or nearly-completed PhD or equivalent in Mathematics or a related field. A comprehensive and up-to-date knowledge of current issues and future directions within Mathematics. A developing reputation in an internationally competitive field of research within Mathematics, that matches or enhances existing research themes within the School. Sufficient depth of relevant research and teaching experience, normally including sufficient postdoctoral research, appropriate to an early career academic. A developing track record of publications in leading national and international journals. Experience of successful development and delivery of teaching, tutoring or demonstrating at undergraduate or postgraduate level
Preferred Requirements: Experience of applying for and securing research grant funding

Published: July 14, 2017   14:15              

Duration: 3 +| y        Workload: 100%
Duties: Our research group focuses on the aetiology of diseases of old age using population and vascular trials biobank studies. Diseases of old age, such as dementia and osteoporosis, are increasingly major social and health care burdens. The very large-scale data that are emerging provide the opportunity for many exciting and extensive investigations requiring well-structured data manipulation and statistical programming to yield their full potential. We are seeking to recruit a Medical Statistician with excellent programming skills and a good understanding of a range of statistical techniques. The post will involve planning data synthesis, implementing statistical analyses and interpreting the implications for population health
Minimum Requirements: You will have a PhD (or MSc plus subsequent relevant experience) in statistics, mathematics, bioinformatics or an equivalent numerate or computational discipline, a demonstrated record in statistical programming and analysis (for example in SAS, R) and be competent to develop your skills further

Deadline: August 14, 2017 | Published: July 14, 2017   14:14              

Department: Mechanical Engineering
Workload: 100%
Duties: The candidate will be working to develop both existing and novel computational models to describe tumour biomechanics and therapy; to develop post-processing techniques for the segmentation and visualisation of image data; to establish computational frameworks for inputting segmented imaging data into the computational models; to liaise and collaborate with a team of biologists and medical imagers to develop biologically well-grounded models; to maintain an awareness of research literature that is pertinent to the project; to contribute to the drafting and submitting of papers to appropriate peer-reviewed journals
Minimum Requirements: The successful candidate must have a PhD in mathematics or computational biology and have sufficient experience in a relevant area to demonstrate that they have generated and executed independent and collaborative research at an internationally-leading level. Candidates must have a strong track record of publishing their work in research journals, excellent interpersonal, writing and organisation skills, and expertise in programming (including both Matlab and C++ as essential)

Deadline: August 12, 2017 | Published: July 14, 2017   13:12              

Department: Institute of Health Informatics
Duration: 3 m +        Workload: 100%
Duties: The primary focus of the Farr Health Data Systems Assistant is to apply algorithms of machine learning on datasets from Parkinson patients and to assist in the development of an integrated framework in health data analytics for the clinical assessment and compliance with therapies of Parkinson patients
Minimum Requirements: The appointee will draw on the wealth of research excellence and translational experience brought together in UCL Partner organisations. The post-holder will foster the development of a vibrant culture of translational science, and will act as role model for scientists at all stages in their careers. The successful candidates will be expected to leverage the multidisciplinary culture that characterises the Farr Institute London, and for which UCL is also renowned

Deadline: July 27, 2017 | Published: July 14, 2017   13:08              

Department: UCL Great Ormond Street Institute of Child Health
Workload: part-time
Duties: The aim of the post is to coordinate, support and contribute to the activities of the programme across 4 partners: ICH and another UCL department and two other research institutions. The post holder will be responsible for the operational running of the programme, accountable to its Director. He/She will work with investigators to project manage the overall research programme, and will also have responsibility for supporting delivery of specific research objectives
Minimum Requirements: The person appointed will be an experienced researcher with an interest in obesity research and with proven research management skills. Applicants should have a degree in epidemiology, statistics, or other relevant public health science or health-relevant domain, or equivalent level of attainment. Experience of managing multiple research projects and of project management in a higher education or other relevant environment is essential

Deadline: August 4, 2017 | Published: July 14, 2017   12:32              

Department: UCL Mechanical Engineering and UCL Medical Physics and Biomedical Engineering
Workload: 100%
Duties: The post-holder will develop and validate computational models describing the propagation of acoustic waves from ex-vivo and in-vivo sources into the womb, and help quantify their effects on the developing foetus. Using anatomical scans, they will generate meshes suitable for finite element and boundary element computing. They will play an active role in the UCL Mechanical Engineering Ultrasonics group, which carries out research in areas spanning the biomedical and industrial application of ultrasound science, and the GIFT-Surg project (Guided Instrumentation for Fetal Therapy and Surgery). The post-holder will contribute to establishing the project milestones, and meeting the corresponding deadlines
Minimum Requirements: It is essential prospective applicants have a Honours degree (2: 1 or above) or equivalent in Mathematics, Engineering, Physics or Computer Science. In addition it is essential that candidates possess a PhD or equivalent industry experience in at least one of the follow subjects: Computer Science, Mechanical Engineering, Physics, Applied Mathematics or in a relevant area for the post you are applying for

Deadline: August 20, 2017 | Published: July 14, 2017   12:32              

Workload: 100%
Duties: The aim of this project is to assist the design of a highly manoeuvrable unmanned aerial vehicle by using two different but complementary approaches. The first approach relies on the use of a computational fluid dynamics solver (DLR-Tau) which scales linearly up to thousands of processors. The solver will be used to provide an aerodynamic design, including an optimal external shape and the sizing of appropriate control surfaces to meet target performances
Minimum Requirements: Background in mechanical/aerospace engineering, with a strong experience in programming and knowledge in aerodynamics and flight mechanics

Deadline: August 31, 2017 | Published: July 14, 2017   01:57              

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

Published: July 14, 2017   01:41              

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

Deadline: September 11, 2017 | Published: July 14, 2017   01:39              

Department: Computer Science
Duration: 5 y        Workload: 100%
Duties: The project will facilitate building new robotic platforms as well as linking the different existing infrastructure in hardware and software platforms and technology to key stakeholders and application developers. The successful candidate will design new actuation mechanism, advise staff on building control systems and engage with end users. To contribute to the design of a range robotic systems that can support different imaging sensors. To be involved in a range of theoretical work, software development and empirical activities. To contribute to the planning and documentation of the project. To prepare and present findings of research activity to colleagues for review purposes. To represent the project at workshops and conferences
Minimum Requirements: The candidate should hold a PhD in Robotics and Autonomous Systems and have outstanding experience in building robots, from fundamental research development on specific robotics topics to complete robotic systems. Experience in CAD software essential as is experience in operating fabrication equipment like CNCs, metal deposition printing and electronics

Deadline: August 14, 2017 | Published: July 13, 2017   17:10              

Department: Engineering – Gas Turbine and Transmissions Research Centre (G2TRC)
Workload: 100%
Duties: To initiate and undertake research on the numerical modelling of fluid-like flow at the interface of inertia friction welding, including the flow of second phase particles. Writing of research reports and papers in order to disseminate research results and develop a track record of published research findings with the industrial partner and in internationally-respected peer-reviewed journals where suitable. Further dissemination of results through invited oral and poster presentations at meetings with industrial and research partners, but also in academic circles where suitable
Minimum Requirements: Candidates must hold a Degree, or equivalent in a relevant area and a PhD or equivalent in engineering, applied mathematics or a related subject area, with a major component in fluid modelling or using Computational Fluid Dynamics. Key to the success of the application will be the ability of the applicant to demonstrate that they can undertake complex CFD studies. Practical CFD experience is therefore very important and FEA modelling would be beneficial; in particular, experience in two-phase modelling or the modelling of particle flows

Deadline: August 11, 2017 | Published: July 13, 2017   17:08              

Department: Department of Mechanical Engineering
Duration: 1 y        Workload: 100%
Duties: To develop mathematical and computational models to describe nerve angiogenesis and growth; To perform model parameterisations against in vitro experimental data; To liaise and collaborate with a team of biologists and tissue engineers to develop biologically well-grounded models; To maintain an awareness of research literature that is pertinent to the project; To contribute to the drafting and submitting of papers to appropriate peer-reviewed journals; To disseminate research findings at appropriate meetings, workshop and conferences; To prepare progress reports on research for funding bodies as required
Minimum Requirements: The successful candidate must have a PhD in mathematics or computational biology and have sufficient experience in a relevant area to demonstrate that they have generated and executed independent and collaborative research at an internationally-leading level. Candidates must have a strong track record of publishing their work in research journals, excellent interpersonal, writing and organisation skills, and expertise in programming (including both Matlab and C++ as essential)

Deadline: August 13, 2017 | Published: July 13, 2017   17:01              

Workload: 100%
Duties: Working as part of an agile team, you will be involved in developing advanced methodologies for data storage and analytics, for an online publishing ecosystem. This ecosystem facilitates collaboration between Publishers, Journalists and SMEs and the co-creation of content. By applying artificial intelligence and machine learning algorithms content creation will be driven by timely and relevant content and insights
Minimum Requirements: Given the project involves behaviour analysis, as well as a large amount of data analysis, modelling of decision making and data interpretation; an ability to critically interpret results and experience of experimentation, modelling and data analysis is essential. Associate with the PhD in Computer Science, Software Engineering, or closely related discipline is needed for this interdisciplinary project

Deadline: October 11, 2017 | Published: July 13, 2017   14:46              

Workload: 100%
Duties: Contribute to advanced studies for ultra low emittance lattices, with emphasis on the analysis of collective instabilities. This will involve mastering advanced numerical optimisation techniques for the analysis of beam dynamics in ultra low emittance lattice with wakefields and producing the corresponding impedance budget; Contribute to producing the relevant procedures and high level software tools in order to achieve the above; Contributing to the analysis of collective instabilities and the characterisation of the impedance in the existing Diamond Storage ring; Actively participate in machine development activities, proposing and undertaking new experiments
Minimum Requirements: Qualified to at least degree level in an appropriate branch of physics; PhD; Some experience of accelerator physics of both a practical and theoretical nature
Preferred Requirements: Experience in the operation of existing accelerator is desirable

Deadline: August 13, 2017 | Published: July 13, 2017   12:30              

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