132 Jobs found        

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Department: Department of Mechanical Engineering
Duration: 3 y
Duties: The aim of this studentship is to develop tools for the pre & post-operative in-silico planning and treatment for Aortic Dissections
Minimum Requirements: Applicants should have an MSc or equivalent in Biomedical Engineering, Mechanical Engineering, Aeronautical Engineering, Physics, Applied Mathematics or a related subject. Strong background in biomedical engineering, mechanical engineering, aeronautical engineering, physics, applied mathematics; in particular, strong knowledge of how to derive and manipulate differential equations. Excellent programming skills in any of the following languages: C, C++, FORTRAN, Matlab, Octave or Python, Good oral written and presentation skills and Experience in CFD

Deadline: January 31, 2019 | Published: December 12, 2018   18:19              

Department: Computer Science
Duration: 2+ y        Workload: 100%
Duties: The post holder will have an exciting opportunity to advance microstructure imaging using multimodal MRI data and to apply these advances to uncover the neuronal substrate to learning, memory formation, and consolidation. The successful candidate will be working closely within a world-class multi-disciplinary team of engineers, psychologists, and neuroscientists
Minimum Requirements: Applicants must have, or expect to obtain, a PhD in a relevant discipline. Strong maths and programming skills are essential, as well as a good publication record in relevant journals. Previous experience with quantitative MRI, image analysis, mathematical modelling, optimization, software engineering and matlab are all advantageous. The appointment will be made to the Research Fellow (Grade 7) salary scale, according to qualifications, skills and experience

Deadline: December 25, 2018 | Published: December 12, 2018   15:36              

Duties: This role will provide pricing support to the UK & European Commercial Property business units. This key role will be highly visible, as you will have the opportunity to interact with and advise underwriting management. We are looking for an individual who is internally motivated, intellectually curious, has the ability to manage multiple priorities, and is driven to enhance existing processes
Minimum Requirements: Candidates with several years of relevant actuarial experience preferred Credentialed member of a recognized actuarial society or working towards designation Proven proficiency in actuarial concepts and methodologies, including non-standard approaches Degree in Mathematics or related discipline Strong analytical and problem-solving skills Work well both independently and as part of a team Expertise in Excel, Access, VBA, SAS, R, or other programming languages preferred Strong business and collaboration skills, and responsive to service needs and operational demands Effective time management skills Excellent communication, presentation, and interpersonal skills

Published: December 12, 2018   14:54              

Department: Centre for Primary Care and Public Health - Blizard Institute
Duration: 1 y        Workload: 100%
Duties: These informatics predominantly report on NHS payments and KPIs that are linked to local initiatives designed to facilitate improvements in clinical care. The postholder will work closely with CEG practice facilitators and local NHS commissioners, to ensure that the dashboards are informative and understandable for their different audiences: GP practice providers and the commissioning organisations. The postholder will need to have a basic understanding, therefore, of the NHS primary care sector and its structure. They will need good communication and analytical skills, as well as the ability to work collaboratively, accurately, and well under pressure
Minimum Requirements: The postholder will take a lead role in the design of dashboards and should have an awareness of presentation techniques, with an eye for detail. They will have high-level skills in Excel and some experience of using databases to manipulate large datasets. Experience of SQL, Tableau, Power BI or clinical data systems is desirable. They will have knowledge of clinical coding systems, and preferably some familiarity with clinical terminology

Deadline: January 7, 2019 | Published: December 12, 2018   05:49              

Department: Gatsby Computational Neuroscience Unit
Workload: 100%
Duties: The Gatsby Computational Neuroscience Unit at University College London invites applications for an academic position in theoretical or computational neuroscience at the rank of Lecturer, Associate Professor or Professor. The appointment to be made at a rank appropriate to the experience and international standing of the successful candidate
Minimum Requirements: A very strong quantitative background in theoretical or computational neuroscience, machine learning, statistics, computer science, physics or engineering. Faculty members are expected to have a detailed knowledge and understanding of the literature in their appointed research fields, be proficient in its application and have a ready ability to acquire and absorb new information, methods and techniques in the service of research goals

Deadline: June 30, 2019 | Published: December 12, 2018   05:33              

Duties: Conduct research and analysis on industry verticals and specific companies to assist commercial decisions and to optimise existing and understand new business opportunities. Responsibly assisting in the discovery of insights and identifying opportunities through the use of qualitative research as well as statistical, algorithmic and visualisation techniques, and communicating results. Build domain expertise and assist in identifying insurtech developments and trends and establish the relevance for the companies strategy
Minimum Requirements: Combination of business focus, strong analytical and problem solving skills and programming knowledge to be able to quickly test hypotheses and present insights. Communication: Excellent interpersonal and written skills that enable the candidate to build trust with senior management and all members of staff and persuade them of the business benefits of data analysis. Credibility: will have an enthusiasm for technology and its use in innovation and change projects specifically to influence business leaders. Integrity: The ability to make a principled stand where required. Flexibility: The ability to retain a sense of perspective and recognise the occasional collision between “real world” situations and theory. Personality: The ability to work unsupervised. The role holder will be given a fair degree of autonomy and needs to be comfortable with this, but should also be a complementary team member. Educated to University degree level or equivalent (or international equivalent). Abilit...
Preferred Requirements: Some experience of programming languages (R, Python, or other) is helpful. Some experience of Tableau would be useful

Published: December 12, 2018   00:06              

Department: UCL Institute of Child Health
Duration: 2+ y        Workload: 60%
Duties: The post-holder will work on the data resource element of Cross-cutting resource 1: Health Economics Analysis and Data resource (HEAD). The HEAD resource provides timely and useful evidence to policy-makers through two mechanisms: (i) by facilitating access to routinely collected data and deep data cohorts and providing methodological expertise to interrogate these datasets in a valid and meaningful way; and (ii) by providing economic expertise through evaluating economic impacts and value for money. The post holder will be responsible for supporting the use of linked data by CPRU researchers
Minimum Requirements: PhD in relevant discipline or related experience. Experience of data management using large administrative datasets. Experience with statistical analysis packages (e.g. STATA, R, SAS). Experience in conceptualising data analyses and writing analysis plans and research plans. Experience of working in a secure setting and/or working with confidential data

Deadline: December 24, 2018 | Published: December 11, 2018   09:17              

Department: Chemistry
Duration: 3+ y        Workload: 100%
Duties: The successful candidate will join a very active inter-disciplinary group in the Centre for Computational Science, and will work on providing guiding theoretical principles and computational methods for the design of novel materials based on their atomic composition and structure. The postholder will develop and optimise verified and validated molecular dynamics simulation for drug discovery and personalised medicine using existing molecular dynamics codes including GROMACS and OpenMM. The approach will develop the theory of and make use of modern techniques for uncertainty quantification. The codes will be optimised for existing and future emerging architectures along the path to the exascale
Minimum Requirements: The successful candidate will have a Masters degree in Chemistry or Mathematics, together with a significant knowledge of statistical mechanics, stochastic methods, dynamical systems and modelling and simulation along with proven programming expertise. They will also have extensive experience using the GROMACS molecular dynamics package and molecular modelling and simulation of proteins, involving large scale high performance computing on Tier 1 and Tier 0 facilities

Deadline: January 10, 2019 | Published: December 11, 2018   06:45              

Department: Institute for Global Health
Duration: 2 y        Workload: 100%
Duties: We are seeking a dynamic and highly-organised individual with excellent project management skills, to co-ordinate the multi-disciplinary, multi-institutional National Survey of Sexual Attitudes and Lifestyles (Natsal). This post is to support the delivery of the development phase of the fourth wave of Natsal; establish efficient and effective systems to facilitate the smooth running of this exciting research project; and ensure engagement with a range of stakeholders to maximise Natsal’s reach, scientific potential and impact
Minimum Requirements: The post holder must have an MSc in epidemiology, public health, social science or related area (or equivalent experience) and experience of project co-ordination, stakeholder engagement and preparing reports and presentations. The individual will be motivated, have highly-developed organisational skills and be able work alone and as a team member

Deadline: December 9, 2019 | Published: December 11, 2018   06:43              

Duties: Work closely with all parts of the business to understand the nature and processes that build up the company’s data and actively work with the business to improve data quality. Research and investigation into their dataset to produce new insights and proof of concepts that can drive them towards their business goals. Research and report on the effects of the vault dataset on all parts of the insurance journey, including customer acquisition, marketing, communications, pricing and claims journey

Published: December 11, 2018   00:08              

Department: Institute for Creative Computing
Duration: 20 m        Workload: 100%
Duties: We are seeking an enthusiastic and ambitious Post-Doctoral Research Fellow to be part of this new project. You will be conducting research to understand and explore attitudes to learning for disabled and autistic people and their communities. We will use a range of data collection methods, including mobile, online, and in-person survey-based approaches. You will analyse data through a combination of qualitative, thematic methods, quantitative statistical techniques, and data science approaches
Minimum Requirements: You will have a Doctoral qualification or equivalent experience in either Sociology, Psychology, Human Factors, or an intersecting discipline. You will have research experience in a relevant area, such as accessibility, learning disabilities research, autism research or related field. You will also have experience of qualitative and quantitative research tools such as NVivo, R and/or Python
Preferred Requirements: Experience using machine learning for data analysis would also be an advantage

Deadline: January 6, 2019 | Published: December 9, 2018   20:01              

Duties: Reinsurance pricing to advise clients and assist broking. Writing Benchmark reports to advise clients on internal reinsurance pricing. Capital advisory – Advising on use of reinsurance to increase solvency ratio; reviewing Implementation of capital calculations in Solvency II Standard Formula
Minimum Requirements: Strong IT Skills essential (Excel, Access, VBA). Knowledge of reinsurance market and concepts desired. Strong Interpersonal Skills essential. Strong Communication Skills – ability to effectively present data verbally and in written format is essential. Statistical/Analytical/Problem solving ability essential. Strong programming skills

Published: December 9, 2018   17:41              

Duties: Primarily to support the Head of Capital and Risk in providing actuarial support and carrying out responsibilities of the actuarial function in respect of capital modelling and exposure management
Minimum Requirements: Up to 2 years capital modelling experience in London Market insurance or commercial insurance or reinsurance, however, strong candidates from other backgrounds will be considered. Experience with the Solvency II or Lloyd’s validation framework. 2: 1 or higher degree. Steady progression through the actuarial exams. Excellent Excel, Access (or other database software) and VBA skills. Familiarity with a proprietary capital modelling package, e.g. Igloo, Remetrica, Risk Explorer. Proficiency with R is desirable

Published: December 8, 2018   08:46              

Duties: Monitor and review the capture of policy, exposure, and reinsurance information required for aggregation and risk modelling. Assist in development and operation of tools and to enhancing existing reporting processes. Working closely with Underwriting and Actuarial Functions following Catastrophe events to aid understanding of exposures and loss sources. Review and oversee Exposure Management Analysts to monitor aggregate exposures and communicate implications to senior management
Minimum Requirements: Significant experience in handling, manipulating and analysing large data sets, as well as an ability to exhibit data in a variety of formats for different purposes/audiences (e.g. Reports, Presentations, Data Sheets, etc.). A very high level of computer literacy, with expert knowledge of Microsoft Word, Excel, Access and SQL. Expert knowledge of and working experience of Risk Management Solutions (RMS) software and models, and a high level of understanding of the key model inputs, outputs and uses, with experience in model validation. A minimum of four years relevant industry experience, with significant experience working within the field of Exposure Management, preferably within a Lloyd’s Managing Agency, Broker or Modelling Vendor. Expert knowledge and understanding of catastrophe insurance, loss modelling, aggregation and natural hazards, primarily within Property classes. Excellent communication skills (both written and oral), as the role involves interaction with underwriting ...

Published: December 8, 2018   08:46              

Department: Department of Methodology
Duties: Assistant Professor in Computational Social Science with expertise in quantitative methods. The post holder will contribute to the intellectual life of the School through conducting and publishing outstanding quality research, engaging in high quality teaching as instructed by the Head of Department, and participating in the School and wider Department activities. The post holder will be asked to teach both introductory and advanced courses in computational social science research methodology to multi-disciplinary groups of graduate students of social sciences
Minimum Requirements: Completed PhD, or close to obtaining a PhD by the post start date. Research expertise in a relevant social science discipline and in computational and quantitative research methodology. Track record or trajectory of internationally excellent publications. Ability to teach a range of data science courses, including the application of computational methods to social scientific research problems, programming, data manipulation, data analysis
Preferred Requirements: Candidates using big data and computational methods to address significant social, political, and economic challenges

Deadline: January 20, 2019 | Published: December 8, 2018   06:22              

Department: Planning and Information Department
Workload: 100%
Duties: The post holder will contribute to the University's strategic planning function by in particular responding to the information needs of external stakeholders and maintaining and enhancing policies and processes with regard to information provision. A key part of this role will be taking a lead role in developing processes to support the provision of high quality information to the HESA Data Futures programme. The post holder will also support other colleagues in the development and provision of management information to internal stakeholders, etc
Minimum Requirements: Excellent numerical and organisational skills. Systematic approach to work. Ability to give close attention to detail delivering accurate work. Excellent communication skills (written and oral) including the ability to understand, present and explain complex information to a range of audiences. Qualified to degree level. Experience of proactively managing processes to validate and improve data quality. Taking a lead in implementing changes and influencing colleagues. Experience of management information reporting tools and the analysis of large and complex data sets, using a recognised Management Information tool. Experience in writing papers or reports including analytical, planning or policy documents

Deadline: January 7, 2019 | Published: December 8, 2018   00:06              

Department: Institute of Sensors, Signals & Systems
Duration: 2 y        Workload: 100%
Duties: Mapping and surveying of complex structures using multiple robots equipped with distributed, mobile optical and acoustic spatial sensors and industry accepted non-destructive evaluation (NDE) sensors in the dynamic and challenging off-shore environment. Planning and execution of efficient, localisable and repeatable navigation and interaction of heterogeneous robotic deployment platforms (wheeled and legged for topside, aerial, marine) for sensor placement and manipulation in extreme and dynamic conditions - with specific emphasis on failure prediction, re-planning and recovery strategies
Minimum Requirements: Candidates will have a PhD in electrical engineering, computer science, applied mathematics, physics, or a related area. Strong competences in Sensor Processing. Mobile robotics, Machine Learning and Control are required, with hands on experience with implementation. of algorithms on real robots. You will be working as part of a large team of researchers and we expect excellent communication and teamwork ability from any candidates to these positions

Deadline: January 7, 2019 | Published: December 7, 2018   17:39              

Duration: 3 y        Workload: 100%
Duties: Original research contributions to the core program of the Computational Regulatory Genomics Group. Establish an independent research topic within the general scope of the group’s scientific interests. Contribution toward the functioning of group’s computational infrastructure and development of algorithms and software. Active participation in training of the staff and students by providing advice and information to PhD and MSc students in the group. Possible direct supervision of PhD or MSc students (max. one at a time)
Minimum Requirements: PhD (or equivalent experience) in computational biology and regulatory genomics. Strong publication record, including first-author papers, and evidence of ability to write scientific papers independently. Background in machine learning methods for analysing genome organisation. Evidence of proficiency in more than one general programming language (Python or C/C++ are preferred) and experience with programming and analysis of next generation sequencing data in R/Bioconductor. experience with computational analysis of genomic regulatory elements, gene expression or transcriptional regulatory networks. Knowledge of molecular biology and genomics. Knowledge of eukaryotic gene regulation. Experience with extraction and analysis of genome-wide data from ArrayExpress, GEO, Ensembl and/or UCSC Genome Browser. High level of motivation and drive, and the desire to become an independent investigator. Evidence of ability to organise and conduct complex research projects. Good written and verbal co...
Preferred Requirements: Knowledge of applications of statistics in molecular biology, genomics or population genetics. Applications of machine learning, Bayesian data analysis and linear algebra in computational biology

Deadline: December 24, 2018 | Published: December 7, 2018   17:28              

Department: Institute of Sensors, Signals and Systems
Duration: 30 m        Workload: 100%
Duties: Coordinating his or her research work within the framework defined by the project and investigator. Dissemination of research findings through internal reports, conference proceedings, and journal publications. This will include domestic and international travel and support of meetings at the University of Edinburgh and other UDRC Consortium locations and Dstl (Porton Down). Interact with other researchers who are working on the UDRC project and proactively engage with Dstl and industrial project partners. Organise his or her own work and time in order to meet the deadlines and milestones as defined within the project
Minimum Requirements: A good undergraduate degree and a PhD in Electrical Engineering, Applied Mathematics, Computer Science, Physics, or related discipline, with a focus on signal processing/Data Science, or a closely related area Proven track record of research in signal processing/Data science, with a specific focus on computational imaging or a closely related area. Capable of working collaboratively with researchers from different disciplines or technical background. Capable of working independently, exercising a high degree of initiative and demonstrating a pro-active and flexible approach to work. Ability to work under pressure and meet agreed milestones. Ability to develop and maintain effective working relationships. Good time-keeping and time-management, with associated effective prioritisation of tasks. Good communication skills; oral, writing and presentation of data. Ability to contribute ideas and initiate new ways of working
Preferred Requirements: Ability to be adaptive and accepting of new ideas and a willingness to approach new challenges and adj

Published: December 7, 2018   17:26              

Department: Mathematics
Duration: 2+ y        Workload: 100%
Duties: The responsibilities of the post will include: carrying out vigorous, high-level mathematical research; interacting with Dr Hewett, his collaborator and industrial partners; submitting publications regularly in refereed journals; and participating in local seminars and in national and international conferences
Minimum Requirements: Candidates should either have a PhD or equivalent qualification in mathematics or a related discipline, or be finalising their PhD or waiting for their viva date. The successful candidate is expected to have a proven track record in research and publishing, and a strong desire to work collaboratively in a research group. Excellent interpersonal and communication skills, both written and oral, are required. Ideally the candidate would have expertise and research experience in at least one of the following areas: the analysis or numerical analysis of PDEs and/or integral equations, functional analysis, scientific computing, wave propagation

Deadline: January 6, 2019 | Published: December 7, 2018   15:15              

Duties: You will work closely with the UK Reserving teams to understand and report their results, identify trends and bring insights to the senior stakeholders from the wider business, with whom you will gain exposure on a day-to-day basis. Using strong analytical and mathematical skills, you’ll work alongside some of the most talented qualified actuaries. You’ll also liaise with other areas of the business, including Finance, Underwriting, Pricing and Capital, to develop a broad understanding of the business and promote process changes that will result in real difference
Minimum Requirements: If you have approximately 3-6 years of relevant general insurance experience (e.g. reserving, regulatory reporting, Solvency II, finance bookings or auditing ideal) and a serious and professional attitude towards compliance of regulatory submissions with an eye for attention to detail in order to support accuracy, please apply today

Published: December 7, 2018   13:55              

Duties: Consulting in Mathematics, Statistics, Econometrics, Actuarial Sciences, Quantitative Finance, OR and more

Published: December 7, 2018   10:42              

Duties: In the short term, support the production of legal entity reserve estimates, both gross and net of Reinsurance. This would include producing key reserving results and analytics to take key stakeholders (internal and external to actuarial). Responsible for the successful design, development, and rollout of the technological platform on which they will perform its General Insurance actuarial reserving analyses. Coordinate with end users, developers, and the other modernization focus areas (e.g., Data Intake, Quarter Closing, and Output)
Minimum Requirements: BSc in Actuarial Science, Mathematics, Statistics, or related field. Qualified Actuary under a recognised Actuarial Professional Body. Extensive relevant reserving experience preferred. Ideally from a Consultancy background. Excellent management and leadership skills. Strong business and collaboration skills, and responsive to service needs and operational demands. Advanced knowledge of actuarial reserving methodologies and techniques. Ability to look at all matters creatively and with ingenuity. Good and varied technical skills (e.g. VBA, SAS, SQL, R, Python, Tableau). Effective time management and organizational skills. Excellent communication, presentation, and interpersonal skills. Strong mathematical, problem solving, and analytical skills

Published: December 7, 2018   09:08              

Duties: Assist in the timely submission of regulatory returns. Assist the Actuary and provide actuarial input to the Pricing models of the Syndicate. Assist with the development of the Capital Model of the Syndicate. Take ownership of the day to day running of the Capital Model. Assist with the collation, production and timely submission of Lloyd’s and other Regulatory returns
Minimum Requirements: Circa 3 years’ experience in the London market. Advanced knowledge of capital modelling. Exposure to and knowledge of pricing and reserving models. Advanced knowledge of the actuarial techniques for general insurance lines of business. Knowledge of various IT tools including, but not limited to, Excel, Access, Sequel, Word. Experience in leading project work to completion. Able to formulate appropriate judgement based on actively gathering all relevant information and input and defend this judgement when challenged. Ability to manage priorities on multiple projects simultaneously. Ability to communicate with a number of stakeholders and adapt style for different stakeholders. Ability to manipulate and analyse data to identify trends and anomalies, working to a high level of accuracy. Work with Financial, Compliance, Risk and Underwriting teams in the development of the Actuarial Function. Liaise with all external actuaries

Published: December 6, 2018   01:20              

Duties: The proposed PhD projects are investigating the development of new algebraic and geometric methods combined with computer algebra techniques for global non-linear optimization problems and their applications, in particularly, in smarter cities challenges, urban traffic management, water network management, energy flow control, or environmental monitoring; POEMA consortium consists of eleven network partners: Inria, Sophia Antipolis, France, CNRS, LAAS, Toulouse France, Sorbonne Université, Paris, France, NWO-I/CWI, Amsterdam, the Netherlands, Univ. Tilburg, the Netherlands, Univ. Konstanz, Germany, Univ. degli Studi di Firenze, Italy, Univ. of Birmingham, UK, Friedrich-Alexander-Universitaet Erlangen, Germany, Univ. of Tromsoe, Norway, Artelys SA, Paris, France and three associate partners: IBM Research, Ireland, NAG, UK, RTE, France
Minimum Requirements: To be eligible for one of these PhD positions, the applicant should fulfill the following conditions: Have — at the date of recruitment — a Master’s degree in Computer Science, Mathematics or Engineering (or any equivalent diploma). Should have — at the date of recruitment — less than 4 years of a research career, and not have a doctoral degree. The 4 years are measured from the date when they obtained the degree which would formally entitle them to embark on a PhD, either in the country where the degree was obtained or in the country where the PhD is provided. Trans-national mobility: The applicant — at the date of recruitment — should not have resided in the country where the research training takes place for more than 12 months in the 3 years immediately prior to recruitment, and not have carried out their main activity (work, studies, etc.) in that country. For refugees under the Geneva Convention (1951 Refugee Convention and the 1967 Protocol), the refugee procedure ...

Published: December 5, 2018   16:45              

Department: School of Electronic Engineering & Computer Science
Duration: 3 y        Workload: 100%
Duties: The objective of PDRA project is to study the most antenna technology suitable for beam tracking and steering capabilities in millimetre wave frequency bands for sensing and communication systems. The selected antenna solutions should comply with ETSI radiation masks and account for mechanical constraints such as size and compactness. The beam steering angle shall be a key element of the selected antenna technology and phase shifters. The proposed phased antenna arrays will be connected to the National Instruments mm-Wave transceiver system to measure and test sensing and communication system performance
Minimum Requirements: The candidate should have completed a PhD or equivalent degree in one of the following: Electric/Electronic Engineering, Computer Science, Physics, Math, and have experience in conducting studies with RF/Microwave subjects (e.g. mm-wave antennas, phase shifters, mm-wave systems, etc.) as well as basic RF/Microwave Engineering and Electromagnetics experience. Experience working on interdisciplinary projects combining antennas with FPGA programming and experience designing or evaluating communication system hardware or software systems is desirable for the post

Deadline: January 3, 2019 | Published: December 5, 2018   15:42              

Department: UCL Institute of Child Health (ICH)
Duration: 3+ y        Workload: 100%
Duties: The successful candidate will be based in the Population, Policy and Practice Programme at GOS ICH UCL and will be expected to work independently and, as part of a team, liaise/work collaboratively, to contribute to publications and to present the results of their work at study meetings, and at national or international scientific meetings, as appropriate
Minimum Requirements: Applicants must have a PhD in Statistics or equivalent experience and a good level of relevant postdoctoral research experience including data analysis of large, complex healthcare datasets alongside good programming skills in at least one statistical language, (e.g. Stata or R) and experience of writing papers for peer-reviewed journals. It is essential that candidates have a strong working knowledge of research methods in statistics and epidemiology and have strong statistical analytic skills

Deadline: January 11, 2019 | Published: December 5, 2018   14:40              

Duties: A client to Fen Associates seek a nearly to newly qualified GI Actuary in London. Working with a multitude of clients, (London Market, Commercial, Personal Lines) this boutique consultancy seek an individual with an exceptional academic background, so would suit someone from a top university and making good progress through the actuarial exams

Published: December 5, 2018   00:12              

Duties: A client to Fen Associates seek an experienced Actuary/Underwriter with Long Tail experience

Published: December 4, 2018   17:41              

Duties: Conducting reserves analysis with and lead initial review work. Able to build new reserving models and parametrise existing models in ResQ (development curves, IELRs, method selection etc.) and be able to articulate and document key judgments to senior actuaries. Operate key reserving controls and work within a peer review framework
Minimum Requirements: Individual should have 2 years’ experience in the non-life industry including prior Reserving experience, ideally in ResQ, in either Retail Insurance or London Market business. Must be familiar with standardised Reserving methods Be credible across the business and able to build strong relationships, in particular with underwriters Must be able to demonstrate significant achievement in your pursuits to date including good progress in the actuarial exams. Must be curious, seek continuous improvement and able to work under their own initiative. Excellent written and verbal communication skills, capable of working with people at all levels internal and external to the business

Published: December 3, 2018   08:38              

Duties: Providing pricing support on individual large cases and schemes. Monitoring pricing and performance on business with delegated underwriting authority. Developing benchmark prices for portfolios with very little data. Maintaining non-IS supported rate engines
Minimum Requirements: Actuarial pricing background ideally, will also consider other backgrounds. Qualification not essential Strong communication skills with the ability to build relationships with brokers and underwriters. Ability to communicate technical concepts to non-technical individuals. Strong numeracy skills and understanding of statistical data. Pragmatic, able to apply a common sense approach. Strong Excel skills required. SAS & ResQ experience preferred but not essential. Proactive individual with a proven track record of delivering value. Able to manage multiple priorities and deadlines

Published: December 3, 2018   08:38              

Department: Underwriting Risk and Reinsurance
Duties: Analysing and challenging the group UW risk and reinsurance strategies. Supporting senior decision making using technical skills and analysis. Detailed analysis of reinsurance purchase across the group. Developing improved ways to assess the value of and model our reinsurance placements
Minimum Requirements: 3-5yrs experience of underwriting risk and reinsurance, Ability to link multiple strands of thought and debate technical ideas, Aptitude for technical coding (we use SQL, R, VBA but no specific knowledge is essential), Ability to explain complicated ideas clearly, Good written/report writing skills, Strong personality, willingness to challenge
Preferred Requirements: Experience of capital modelling, Knowledge of SQL server coding

Published: December 3, 2018   08:38              

Department: Bodleian Libraries
Workload: 100%
Duties: Identify the information and data needs of the Mathematical, Physical and Life Sciences Division and develop strategies to meet those needs. Understand the uses, benefits and challenges of data in scientific research and provide advice, advocacy and services to researchers in managing, sharing and re-using data. Promote awareness of library services, collection resources, and developments in data science and information management and how these can deliver improvements in the areas of teaching, research and scholarly communication. Encourage and foster climate of innovation in the use of the physical library spaces
Minimum Requirements: A degree and a relevant postgraduate qualification. Knowledge of data science and scholarly communication patterns in sciences. Knowledge of the information and institutional support needs of science researchers. Proven commitment and ability to deliver services which anticipate and respond to user needs and to motivate others to do the same. Ability to stimulate innovation and creativity in new service initiatives. Proven ability to develop effective strategies for integration of digital knowledge resources into research, and educational workflow. Ability to manage across-library functions in a large devolved organisation effectively, including highly developed planning and decision-making skills. Strong interpersonal, communication, influencing and negotiation skills. Proven ability to lead, manage, and develop a diverse staff. Ability to initiate and manage change and a demonstrable record of dealing successfully with organisational change. Team player with the ability to work colla...
Preferred Requirements: Degree in a science subject. Formal qualification or training in data science, data librarianship or data management. Experience of leading relevant service functions successfully, within a library environment

Deadline: January 4, 2019 | Published: December 2, 2018   22:44              

Department: MRC Clinical Trials Unit at UCL
Duration: 2, 5 y        Workload: 100%
Duties: Review the methodological literature. Agree and implement a research plan. Work collaboratively with methodologists and trialists. Present work at conferences. Contribute to, and lead where appropriate, writing papers in collaboration with other team members. Facilitate the implementation of new methods in standard software (e.g. R/Stata). Disseminate the work so that it is widely used within and outside the MRC CTU
Minimum Requirements: The successful candidate will have an enthusiastic approach, excellent communication skills, and proven ability to prioritise and work to deadlines. S/he should have a good understanding of statistical concepts, familiarity with one or more statistical packages, and a good understanding of the principles of randomised controlled trials. A good understanding and experience of using statistical methods in the design and analysis of clinical trials, alongside some knowledge of the UK trials regulatory environment, is desirable

Deadline: December 31, 2018 | Published: November 30, 2018   07:03              

Department: Institute of Cardiovascular Science
Duration: 1+ y        Workload: 50%
Duties: The appointee will apply epidemiological expertise to a project aiming to identify blood-based biomarkers that could predict the risk of major neurodegenerative diseases, such as Alzheimer’s disease (AD). The researcher will also contribute to projects to help validate opportunities to repurpose commonly prescribed medications for the prevention of such disorders. The successful applicant will: oversee the design of the biomarkers study, undertake statistical analysis of these data and the separate pharmacological analyses, and play a leading role in writing grants, and preparing manuscripts
Minimum Requirements: The post would suit someone whose background is in a combination of life course, molecular and genetic epidemiology, particularly those whose expertise extends across two or more of these areas. A demonstrable interest in the epidemiology of neurodegenerative diseases is expected. The ideal applicant will also have experience with analysis of birth cohort data, molecular traits and genetic data, and instrumental variable statistical methods. Appreciated software skills include the use of Stata, R, Unix and bash programming. We expect the appointee to have a PhD or equivalent degree and some postdoctoral experience in epidemiological research. They will also have a strong track record in attracting grant income as a lead investigator. We place a strong emphasis on potential for independence and on supporting career development, and the appointee should have existing supervisory experience

Deadline: December 14, 2018 | Published: November 29, 2018   07:54              

Department: MRC Unit for Lifelong Health and Ageing at UCL
Duration: 3+ y        Workload: 100%
Duties: The appointee will lead on the application and analysis of non-invasive techniques to image brain function and the circulation, specifically brain and systemic oxygenation, haemodynamics and metabolism in study participants using near-infrared spectroscopy and the microcirculation using laser Doppler technologies. They will join a multidisciplinary clinical phenotyping team that includes physiologists, MRI imagers, and ultrasound technicians. They will help to plan the imaging modalities to be used in research, train and supervise junior researchers, design algorithms to process data, analyse findings, write publications and present at conferences
Minimum Requirements: The post would suit someone whose background is in neuroscience, biomedical engineering, vascular physiology, or medical physics. The ideal applicant will have experience of near-infrared spectroscopy, and/or laser Doppler, a familiarity with the underlying physiology, knowledge of programming in Matlab and experience of creating algorithms for data processing and analysis. We expect the appointee to have a PhD or equivalent degree, and to have a strong record of research in these fields. We place a strong emphasis on potential for independence and on supporting career development

Deadline: January 1, 2019 | Published: November 29, 2018   06:20              

Department: UCL Centre for Advanced Spatial Analysis (CASA)
Duration: 3+ y        Workload: 100%
Duties: The UCL Centre for Advanced Spatial Analysis is seeking to appoint a full-time Teaching Fellow in Spatial Data Science and Quantitative Methods from January 2019. The post-holder will primarily deliver and refine content for two postgraduate taught modules “Spatial Data Capture, Storage and Analysis” and “Data Science for Spatial Systems” which run from January 2019. From September 2019, the post-holder will also co-deliver Quantitative Methods, a core module on our Master's programmes
Minimum Requirements: Essential skills include extensive knowledge and experience of Python and SQL, and knowledge of the Pandas and scikit-learn (or equivalent) Python libraries together with a master's degree in a relevant discipline and extensive experience of capturing, analyzing and visualizing spatial data from a range of sources over a range of platforms

Deadline: December 12, 2018 | Published: November 29, 2018   06:11              

Department: Centre for Clinical Pharmacolgy, William Harvey Research Institute
Workload: 100%
Duties: The successful candidate will provide assistance to the Head of Compliance and the wider CVDHub team with management of the centre. The Senior Data Manager is integral to all aspects of the business/industry development, device and innovation creation and all associated ongoing monitoring, development and management of information. The post holder will provide comprehensive data defining, set-up, interrogation and reporting support to the CVDHub Team. This will include data management and cleaning of an existing trial as well as new studies arising from the hub. Additionally the role will involve contributing to the delivery of wider centre services including but not limited to administrative and grant development activities
Minimum Requirements: The candidate will need to have a relevant experience within clinical research setting in a data manager position or equivalent with knowledge of various EDC systems such as open clinical and excellent Microsoft Office skills
Preferred Requirements: Previous exposure to ERDF projects will be advantageous

Deadline: December 11, 2018 | Published: November 28, 2018   17:51              

Workload: 100%
Duties: Hydro-JULES programme will develop a state-of the art terrestrial hydrological model to couple to the JULES land-surface model and related hydrological models. This is an exciting opportunity for a dynamic and innovative scientist to work at the interface between weather, climate and hydrological science. You will be responsible for developing new approaches for representing soil moisture and runoff generation in large scale hydrological applications within the Hydro-JULES programme. You will be required to collaborate with atmospheric, hydrological and groundwater scientists from partner organisations
Minimum Requirements: You will have a relevant PhD (or MSc with equivalent research experience in hydrology, atmospheric science or land surface science). You must have a strong track record, commensurate with career stage, of computational modelling in either hydrological, atmospheric or land-surface science with the ability to propose and develop new theoretical approaches and implement them in a high-level scientific programming language

Deadline: December 14, 2018 | Published: November 28, 2018   15:20              

Department: UCL Queen Square Institute of Neurology
Duration: 2+ y        Workload: 100%
Duties: Applications are invited for a Research Assistant to work within the research group investigating motor cortex electrophysiology and plasticity using non-invasive brain stimulation, in particular transcranial direct current stimulation (tDCS), at the department of clinical and movement neurosciences, UCL Queen Square Institute of Neurology. The overall program of work will explore how we can individualise and optimize TDCS application using current modelling and dose control to increase motor learning. The ultimate goal is to apply the optimized tDCS method to increase the efficiency of post-stroke upper limb motor rehabilitation
Minimum Requirements: The successful candidate must have an MSc in Cognitive Neuroscience or equivalent degree in Neuroscience area and experience in data acquisition and analysis of motor and sensory evoked potentials using simultaneous TMS, EEG and PNS during tDCS. Experience in current modelling application using ROAST software is essential. Additional experience using Signal software for data acquisition as well as creating code for data extraction on Matlab software is also essential

Deadline: December 11, 2018 | Published: November 28, 2018   14:21              

Department: Behavioural Science and Health
Workload: 100%
Duties: The role will be focused on exploring the relationship between social and cultural capital and health. The post-holder will have the opportunity to focus on particular health behaviours and outcomes of interest to them, such as: Diagnosed mental health conditions, self-reported mental health and wellbeing. Diagnosed physical health conditions, self-reported health and somatic symptoms (such as pain). Physiological measures (e.g. stress hormones/inflammation/lung function/cardiovascular measures). Cognitive measures (e.g. memory/mood/reasoning)
Minimum Requirements: Applicants are sought with a PhD in in statistics, medical statistics, epidemiology, quantitative social science or other relevant discipline. Applicants should also have experience in statistical analysis of longitudinal data and evidence of carrying out high quality original research leading to publication

Deadline: January 7, 2019 | Published: November 28, 2018   12:06              

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

Published: November 28, 2018   00:08              

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

Published: November 28, 2018   00:04              

Department: School of Natural Sciences
Duration: 11 m        Workload: 100%
Duties: Gathering and analysis of data, development of quantitative models and acquire and maintain a thorough and up to date knowledge of the scientific literature related to the research aims of the project and actively support the principal investigator. Delivering research outcomes, to write up the results in scientific articles and discussing and sharing results with grant holders. Administration of the research project, to participate in project meetings and coordinate project to meet aims and objectives. Other duties and responsibilities specific to the role include advise and collaborate with Masters and PhD students within the research programme
Minimum Requirements: A PhD (or near completion or equivalent), in biology, bioinformatics or related field. Research background in genome analysis. Experience in assembling whole eukaryotic genomes. Experience in analysing in depth whole eukaryotic genomes. Experience in writing manuscripts for publications in quality journals
Preferred Requirements: Experience with ancient DNA. Experience with molecular clock analyses of genomic data. Experience with hybridisation analyses of genomic data

Deadline: December 20, 2018 | Published: November 27, 2018   21:16              

Department: Computer Science
Duration: 3 y +        Workload: 100%
Duties: The postdoc will pursue research projects on the intersection of Information Retrieval, Natural Language Processing and Machine Learning where humans and computational technology jointly achieve system-wide goals. The postdoc will work on the “Task Based Information Retrieval” EPSRC project together with one more postdoc and two PhD students. The final goal of the project is to devise systems that collaborate with humans and provide assistance in completing complex tasks
Minimum Requirements: Candidates should have a PhD (or equivalent qualification) or have held a previous postdoctoral position in machine learning, user modelling, knowledge base construction, or closely related areas. Knowledge on machine learning (in particular deep learning) is essential (as demonstrated by a strong publication record), and knowledge of recommendation systems, user modelling and personalization techniques are highly desirable

Deadline: January 7, 2019 | Published: November 27, 2018   13:53              

Department: Department of Mechanical and Aerospace Engineering
Workload: 100%
Duties: Brunel University London is looking to appoint an enthusiastic academic with expertise in Manufacturing Engineering with a focus on robotics, autonomous systems and intelligent automation who will join our successful Mechanical Engineering team
Minimum Requirements: You will be self-motivated with clear ability and expertise in Manufacturing Engineering. In addition, you will have a PhD in the area of Manufacturing, or a closely related field, and the clear potential to develop your profile to international level through high quality research judged by the quality of journal publications, research income generation and engagement with stake holders. Evidence of leadership success and vision in teaching and research is essential

Deadline: December 16, 2018 | Published: November 26, 2018   17:38              

Duration: 1, 5 y        Workload: part-time
Duties: The Registry is responsible for the production of Official Statistics on cancer incidence, prevalence and survival in Northern Ireland and provides evidence to help inform decision making about cancer services. We collect patient information on their disease and the services they receive. This work uses data provided by patients and collected by the health service as part of their care and support
Minimum Requirements: Have or be about to obtain a PhD in a health related/epidemiology related discipline. At least 3 years relevant research experience. Experience of managing data collection. Experience of planning and implementing research protocols including ethics committee and research governance approvals. Evidence of papers published in peer reviewed journals. A sound working knowledge of standard computing and statistical packages (e.g.) STATA, SAS, SPSS. Ability to work in an independent, self-directed manner, formulating own objectives within the objectives of the overall team. Strong organisation skills and capable of dealing effectively with administrative tasks
Preferred Requirements: Previous experience of cancer related research involving patient survey research. Experience of web-design and management. Use of social media in the work-place. Practical experience of statistical analysis techniques (e.g.) regression and survival analysis. Experience of Management Software. Previous experience of working with patients or clinicians

Deadline: December 18, 2018 | Published: November 26, 2018   16:56              

Department: Swansea Materials Research & Testing Ltd (SMaRT)
Duties: Main Duties and responsibilities: Performing mechanical testing of materials including Monotonic/static testing - compression, tensile & creep; Low cycle fatigue tests (load and strain control); 3 & 4 point bend tests; Fatigue crack growth rate & threshold measurements; Fracture toughness; High cycle fatigue. Analysis of test data ahead of transfer to senior staff. Administration that supports the test operations
Minimum Requirements: 5 GCSEs including Mathematics and English Language (both minimum Grade C). A levels, or a Level 3 qualification, in either Mathematics, Physics, Chemistry, Design & Technology, Engineering or similar relevant STEM subjects. Experience in a relevant work environment. Appropriate practical skills use of hand tools and/or machinery. Experience of providing support to customers and other team members. Experience in providing training to others of varying abilities and backgrounds. Experience of problem solving and troubleshooting. Ability to work safely in a potentially harmful environment. Ability to analyse data to a basic level. Experience of liaising with external bodies/contractors/suppliers/organisations. Experience of working in a busy and ever-evolving environment. Excellent interpersonal, communication, and listening skills. Organisation and time management skills. Working knowledge of software applications such as MS Word, Excel and Office. Ability to deal with challenging si...
Preferred Requirements: Experience within a research or mechanical test environment. Knowledge and/or experience of working inside a quality management system (e.g. ISO9001 or ISO17025)

Deadline: December 16, 2018 | Published: November 26, 2018   14:06              

Department: Faculty of Science & Engineering
Duration: 34 m        Workload: 100%
Duties: Research Fellow in Advanced Gas-cooled Reactor Stress Analysis to further development numerical models and use these codes to better understand the behaviour of individual nuclear components and the whole core during lifetime operation; be responsible for the direction of this area of research, to communicate the findings to the collaborative parities; publish research findings in leading journals
Minimum Requirements: PhD (or equivalent) in STEM subject. Record of scientific achievement demonstrated by publication in high quality peer review journals. Proven track record in the application of modelling methods appropriate nuclear engineering. Proficiency use of the finite element method in as well as knowledge of nuclear engineering and ideally some experience of nuclear graphite. Background of working within the higher education system. Experience of working on joint industrial and academic projects. Proven project management skills. Ability to liaise confidently and effectively with a range of individuals. Work independently and as part of a team. Present in both written and oral publications. Meet deadlines and prepare deliverables. Contribute to broader management and administrative processes, and assess and organise resources
Preferred Requirements: Extensive experience in the use of the finite element method in static problems, preferably using ABAQUS. Knowledge of, and experience in, nuclear materials and/or graphite. Postdoctoral or higher level scientific experience

Deadline: January 11, 2019 | Published: November 26, 2018   13:56              

Department: Mathematical Institute
Duration: tenure-track
Duties: The successful candidate will be appointed to a Tutorial Fellowship at Mansfield College. The main duties of the post are to carry out, disseminate the results of, obtain funding for, and supervise research at a high international standard in applied mathematics, to teach a range of topics in mathematics via lectures, classes and tutorials, and to perform administrative and pastoral functions associated with teaching and research
Minimum Requirements: PhD in mathematics or closely related subject. Ability to carry out research at a high international level in Industrial Mathematics. Ability to teach effectively across a range of topics in mathematics

Deadline: January 4, 2019 | Published: November 26, 2018   00:37              

Department: Oxford Big Data Institute and Ludwig Institute for Cancer Research
Duration: 5 y tenure-track        Workload: 100%
Duties: Initiate and implement long-term, often interdisciplinary research programmes that will have relevance within the research at the centre, and to build and lead an independent team to achieve this. Manage substantial research resources and budgets. Develop new avenues of research, concepts and ideas to extend intellectual understanding in your field. Regularly write research articles for leading international journals, book chapters, and reviews. Present papers at international conferences, and lead seminars to disseminate research findings
Minimum Requirements: A PhD or equivalent in a quantitative science with research experience in academia or industry. Recognised international authority within their specialism. Experience and technical expertise in the statistical and computational analysis of large, high-dimensional and heterogeneous biomedical data sources, such as deriving from genomics or imaging, within a field relevant to cancer biology. Proven ability to deliver high quality novel research, by way of an established international publication record. A track record of leading a successful research programme, including supervison of graduates and junior researchers and developing new avenues of research. Excellent communication skills, both written and oral, with the ability to present to the scientific community and the lay public
Preferred Requirements: Research experience in the analysis of high throughput technologies as applied to cancer biology, particularly genomics, proteomics or imaging. Experience in managing and analysing large volumes of data. Experience of working alongside experimental groups to gather appropriate data, validate methodologies and test hypotheses

Deadline: January 4, 2019 | Published: November 25, 2018   23:33              

Department: Nuffield Department of Population Health
Duration: 3 y        Workload: 100%
Duties: Lead and plan the day to day running of the research projects, reporting on progress to the health economics leads and other project team members, and ensure the successful completion of the projects; Manage own research on project and administrative activities, co-ordinating multiple aspects of work to meet deadlines; Supervise junior staff employed on projects; Deliver work on time and at key milestones in project; Act as a source of information and advice to other members of research team; Develop and implement new and/or existing research methodologies arising during the course of the project
Minimum Requirements: Hold relevant PhD/DPhil or equivalent experience) in Health Economics, Economics, Epidemiology, Statistics, Mathematics, or other quantitative discipline; Substantial track record of previous research experience in the area of health economics, health technology assessment, health outcomes or a related health care area; Strong decision analytic modelling skills; Experience of performing model-based economic evaluations; Ability to undertake systematic reviews; Ability to raise research funds through writing grant applications; An established reputation and peer review publication record; Experience in handling and analysing individual patient level datasets; Strong data analysis and programming skills, especially in statistical/econometric methods in Stata, R, and/or SAS; Ability to work independently, effectively, and collaboratively in a multidisciplinary team; Ability to plan and manage workload within tight deadlines and maintain high standards under pressure; Excellent interperson...
Preferred Requirements: Research experience with financial incentives in healthcare; Evidence of publishing in high-ranking clinical and health economic journals; Experience of teaching and supervision of students; Understanding of personalised medicine; Experience with evidence synthesis methods; Experience of performing stated preference studies such as discrete choice experiments

Deadline: January 3, 2019 | Published: November 25, 2018   23:22              

Duration: 1 y        Workload: 100%
Duties: The specific motivation of the project is to understand the pore- and mineral-surface-scale processes that underpin improved oil recovery during controlled salinity waterflooding. It is well known that modifying the composition of injected brine can improve the efficiency with which oil is displaced from the pore-space of a reservoir rock. The successful candidate will be expected to regularly publish papers in international refereed journals, and present their research at relevant international conferences
Minimum Requirements: Applicants should be educated to PhD level in any of the following disciplines: physics, mathematics, engineering, materials science, petrophysics, numerate and/or experimental earth or environmental science, or equivalent. You will be offered extensive opportunities for collaborative work both within and external to Imperial College, to acquire high quality laboratory data and develop new physical understanding

Deadline: January 18, 2019 | Published: November 25, 2018   16:55              

Department: Warwick Medical School, Health Sciences
Workload: 100%
Duties: To further develop an outstanding research portfolio in medical statistics, medical research methodology, evidence synthesis, health technology assessment, and other areas such as, health economics and mixed methods research in the Division of Health Sciences. To attract substantial external grant income and contribute to interdisciplinary research grant proposals. To pursue a high quality programme of research in medical statistics, medical research methodology and evidence synthesis, ensuring all research is undertaken in accordance with relevant legislation
Minimum Requirements: A PhD degree or equivalent in relevant discipline. An outstanding research record of innovative interdisciplinary research in medical statistics, medical research methodology, evidence synthesis, and health technology assessment reviews. Evidence of a commitment to contribute to the development of strong multidisciplinary grant applications and a track record of delivery on complex studies of relevance to Warwick Evidence. Proven ability to obtain substantial research grant funding

Published: November 25, 2018   13:00              

Workload: 100%
Duties: Contributing to the successful teaching, assessment and management of a suite of undergraduate and postgraduate modules within the subject area of data analysis and statistics. Providing input to the University’s strategy for the delivery of teaching in statistical and data analysis techniques to undergraduate and postgraduate students. Providing professional advice on statistical analysis and experimental design to a wide range of students and users engaged in research activity. Developing the University’s capability to analyse Big Data and effectively communicate findings. Managing, undertaking and supporting research and consultancy. Maintaining and developing relationships with key individuals and organisations within the sector
Minimum Requirements: A suitable degree qualification and a PhD, or equivalent postgraduate experience within a relevant discipline and evidence of excellent written English and communication skills. A full UK driving licence and no legal restrictions on overseas travel other than standard visa and immigration requirements. Experience of development and application of statistical analysis and modelling techniques of relevance to agriculture, forestry, environment and/or bioscience. Evidence of the ability to effectively use a range of statistical computer packages for example R, Genstat and SPSS

Deadline: January 11, 2019 | Published: November 25, 2018   12:28              

Workload: 100%
Duties: To lead the course development and delivery of epidemiology and statistics on one or more of our postgraduate courses (the Master of Public Health, the MSc in Health Economics and Decision Science, the MSc in Clinical Research, the MSc in Human Nutrition and the MSc in Statistics with Medical Applications) and on the MB ChB medical undergraduate programme. To contribute to ScHARR’s research and knowledge transfer portfolio. Experience in the design, analysis, interpretation and reporting of the results of quantitative studies is essential, and we are particularly looking to recruit someone with skills in observational data analysis and causal inference
Minimum Requirements: With a degree and PhD (or equivalent) with a large component of mathematics, statistics or econometrics. You will be a passionate teacher who enjoys making complex epidemiological and statistical ideas accessible to students studying on health-related courses

Published: November 24, 2018   19:06              

Duration: 3 y        Workload: 100%
Duties: This is an excellent opportunity for an experienced research and development engineer to work on state of the art machine learning and data analytics models for industrial and scientific problems. The role will involve producing industry grade prototypes and systems
Minimum Requirements: The ideal candidate should have a PhD degree in computer science, mathematics, statistics, or related area, complimented by practical experience of developing data analytics and machine learning algorithms. The candidate should have the ability to investigate systems and algorithms for intelligently retrieving information from real word data sources. This position requires very hands on skills, therefore good system development, programming and database development experience is must. A good understanding of commercial grade software engineering and product development experience will be required

Deadline: December 16, 2018 | Published: November 24, 2018   15:39              

Department: Centre for Tropical Medicine and Global Health
Duration: 1, 5+ y        Workload: 100%
Duties: You will work on developing and evaluating novel trial designs for evaluating vaccines in infectious disease emergencies. As a postdoctoral researcher in statistical/mathematical modelling, your role will involve analysis of study designs that can, in response to accumulating data, adapt decisions about how to allocate vaccines to trial participants in order to determine which vaccines and deployment strategies are most effective faster
Minimum Requirements: You will hold a relevant PhD/DPhil in statistics, epidemiology or a closely related area, or have equivalent relevant experience. You should also have experience with the statistical programming language R and be able to demonstrate the ability to produce highquality academic writing
Preferred Requirements: Experience with Bayesian methods, though not essential, would be a distinct advantage

Deadline: December 21, 2018 | Published: November 24, 2018   12:51              

Department: Division of Psychiatry
Duration: 42+ m        Workload: 60%
Duties: The selected candidates will join the UCL Epidemiology and Applied Clinical Research Department in the UCL Division of Psychiatry, offering a diverse and stimulating research environment with great opportunities for training and career development in psychiatric epidemiology. The department also benefits from excellent peer support within its active community of researchers
Minimum Requirements: Candidates are required to have a Master’s degree or PhD in health services research, health economics, biological sciences, statistics, social psychiatry, biostatistics or a related field, or similar relevant experience. Other key requirements include networking and engagement skills, and excellent organizational skills, as well as experience of writing reports and conference abstracts. Experience of producing other dissemination materials for diverse audiences is desirable

Deadline: December 17, 2018 | Published: November 23, 2018   09:51              

Department: Division of Medicine
Duration: 2+ y        Workload: 100%
Duties: combine the underlying molecular changes in prostate cancer with novel MR techniques, T2 mapping, ADC Map and long b diffusion sequence. identify the imaging (mpMRI, T2 mapping, VERDICT and 13C Hyperpolarised MR) endotype in patients with early prostate cancer that is associated with aggressive disease to avoid overtreatment of patients. develop a methodology to estimate histology from the MRI. Using machine learning to derive precise prostate histopathological mapping of tumours from mp-MRI images. develop a new technology: Susceptibility-Based Cancer Oxygenation Mapping (SBCOM) in prostate cancer and to investigate its clinical potential to non-invasively determine prostate cancers’ hypoxic status
Minimum Requirements: The candidate should hold a PhD or equivalent research experience in MRI physics, biomedical engineering, or a comparable subject with good publication track record consistent with career history. Applicants close to submission of a thesis will be considered. He/She should have experience of and commitment to multidisciplinary working. Imaging experience is desirable but not essential. The successful candidate is expected to have proven ability to organise and prioritise workload, work and communicate effectively within a team environment and on own initiative

Deadline: January 31, 2019 | Published: November 23, 2018   06:17              

Department: Department of Statistical Science
Workload: 100%
Duties: The post holder will be expected to conduct original research and contribute to undergraduate and postgraduate teaching in Statistical Science. Research may be in any branch(es) of statistical science although applicants with expertise in probability, operational research or finance will be especially welcome
Minimum Requirements: Candidates should hold or be close to submitting a PhD (or equivalent qualification) in statistics, or a closely related field. It is essential that the successful candidate has a proven record of ability to carry out high quality research in a branch of probability or statistics, the ability to construct and deliver lecture courses on topics relevant to the needs of the Department and excellent communication skills

Deadline: February 6, 2019 | Published: November 23, 2018   06:12              

Department: School of Mathematical Sciences
Duration: 1 y        Workload: 100%
Duties: We are looking to appoint a Postdoctoral Research Assistant to work in the area of numerical holography within the General Relativity group, which is part of the Geometry and Analysis Research Group. Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holder will be expected to conduct high quality research and code development with the supervision of senior members of the group as well as being able to work autonomously. The successful candidate must be able to communicate material of a technical nature and be able to build internal and external contacts
Minimum Requirements: A strong background in numerical general relativity and high performance computing is desirable but not essential

Deadline: December 22, 2018 | Published: November 23, 2018   05:54              

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

Published: November 23, 2018   00:02              

Workload: 100%
Duties: Lead the design and development of the Hydro-JULES model, taking responsibility for the release of code, data and model configurations within a version-controlled environment. Manage the design implementation of flexible interfaces between model components and between the hydrological model and other Earth system model components Lead the development of protocols for testing, evaluating and benchmarking the model and its components, and maintain model documentation. Lead the publication of technical reports and scientific papers in highly-ranked peer-reviewed academic journals
Minimum Requirements: You will have a relevant PhD (or MSc with equivalent research experience) with a strong record, commensurate with career stage, of computational modelling in hydrological, atmospheric or land-surface science. You must have a record of scientific publication in internationally-excellent journals with ability to propose and develop new theoretical approaches and implement them in a high-level scientific programming language

Deadline: December 14, 2018 | Published: November 22, 2018   15:15              

Workload: 100%
Duties: A post-doctoral research fellow is required to work on the new project entitled "Robot-teaming for collaborative terrain traversability assessment of nuclear environments" under the Collaboration Agreement in respect of the establishment of the UK EPSRC-funded Programme Grant Project National Centre for Nuclear Robotics (NCNR).You will carry out research on 3D semantic mapping, autonomous navigation, coordination and cooperation of multiple heterogeneous robots (e.g., wheeled, tracked, legged, flying) for the design and development of a framework enabling the robot team to build and maintain over time a collective and continuous spatio-temporal terrain traversability assessment of nuclear environments
Minimum Requirements: You must have a PhD in Computer Science, Robotics, Artificial Intelligence or allied disciplines. Must have strong skills in mathematics and machine learning (with a focus on statistics and optimization), and record of publications in relevant conferences and journals. Must have experience in robotics and be capable to conduct complex robotic experiments in real hazardous environments. Programming proficiency in C/C++, Matlab, Virtual Simulation Frameworks and Python. Expertise with real robot systems and ROS will be appreciated as desirable skills

Deadline: December 16, 2018 | Published: November 22, 2018   14:50              

Department: Natural & Computing Sciences
Duration: 2 y        Workload: 100%
Duties: The successful applicant will be responsible for research and administration contributing to a project CAPABLE related to the exposure of Bangladeshi people to toxic elements. You will also have the ability to interact with hospitals, epidemiological academic partners at Cambridge, UCL and a series of Bangladeshi institutions and NGOs
Minimum Requirements: The successful candidate should hold a PhD in an environmental science or analytical chemistry subject area and have an interest in epidemiology

Deadline: December 17, 2018 | Published: November 22, 2018   14:03              

Department: School of Computing
Duration: 1, 5 y        Workload: 100%
Duties: Exploit the networking undertaken at the recent HCI conference hosted by Ulster; Undertake health data science and user log data analytics projects; Assist in writing grant proposals; and Help to co-author research papers
Minimum Requirements: Degree qualification (or equivalent) in one of the following areas: Computer Science, Software Development, Data Science or a closely related subject to those mentioned (Hons. 2: 1 or above). Experience in data analytics and computer programming. Experience in using one of the following tools/languages – R, Python or Matlab. Experience in research report writing and presentation. Ability to work on own initiative and ability to manage a project. Excellent communication skills. Problem solving skills. Willingness to travel
Preferred Requirements: A higher degree (MSc or PhD) in Computer Science, Computing, Data Science or a closely related subject is desirable. Experience in one or more of the following: Exploratory data analytics, machine learning, feature engineering, dashboard development, data visualization, or user/UX log analysis. Experience in publishing research papers and/or research grant writing. Demonstrable record of successful team work. Synthesizing the scientific literature and identifying novel and important research. Ability to network and contribute to interdisciplinary research

Deadline: December 17, 2018 | Published: November 22, 2018   14:01              

Department: Mrc Laboratory of Molecular Biology
Duration: 3 y        Workload: 100%
Duties: To plan and undertake the structural analysis of protein complexes using mass spectrometry combined with chemical cross-linking and hydrogen/deuterium exchange in collaboration with other LMB scientists. To apply bioinformatics techniques for the analysis of complex proteomics datasets. To design basic customised scripts and programs for the analysis of proteomics datasets. To present work at seminars within the Laboratory and at external meetings. To contribute to lab-wide discussions on developments within the field. To draft scientific papers, and contribute to the overall preparation of research for publication
Minimum Requirements: You should have a PhD or DPhil in a relevant subject (bioinformatics, biology, computational science) or be due to complete a PhD within 6 months. A background in bioinformatics, biology or computational science and an understanding of protein mass spectrometry and proteomics. Track record of research: This will include discoveries and achievements, and contributions to published papers. Publication in a high impact journal is essential. Commitment. Originality. Ability to communicate. Working with others. You should be able to work collaboratively within a team, while also having the resourcefulness to carry out aspects of the project independently
Preferred Requirements: Additional publications in the primary literature, or scholarly reviews are highly desirable. Evidence of collaborative work e.g. collaborative publications is desirable

Deadline: December 16, 2018 | Published: November 22, 2018   13:51              

Department: School of Chemistry
Duration: 2 y        Workload: 100%
Duties: You will perform laboratory experiments and run state-of-the-art numerical models, in collaboration with a team of atmospheric scientists at the University of Leeds and the Chinese partner universities. As part of the project, you will participate and help organise workshops and a Summer School in China. You will also have opportunities for training in science and people management, science communication, and grant application writing, with the aim to develop a personal, independent career track
Minimum Requirements: You will have a PhD in Chemistry, Physics, Atmospheric Science or a closely aligned discipline, together with experience in laboratory studies of aerosol/gas-phase processes and/or in running atmospheric models. You will also have excellent communication skills and the ability to work under pressure and meet deadlines

Deadline: December 16, 2018 | Published: November 22, 2018   13:46              

Workload: 100%
Duties: Work closely with other members of the Actuarial Team to ensure appropriate actuarial services are available to TCMA. Support the Capital Actuary and actively participate in the annual capital model parameterisation and validation process. Assisting in maintaining Solvency II model documentation and operational manuals. Assisting in maintaining stress and sensitivity testing and reporting. Maintenance of model use and validation logs. Help enhance management information and reporting within TCMA in order to meet regulatory requirements, including the annual PRA return, Standard Formula calculation, and Lloyd’s Catastrophe Model returns
Minimum Requirements: 1-3 years of experience in general insurance capital modelling working in a Lloyd’s syndicate or London Market. Advanced Excel skills with a good working knowledge of VBA. Knowledge of Remetrica, Microsoft Access, SQL, R, ResQ, RMS, Economic Scenario Generators or any pricing software would be an advantage. Progress with actuarial exams with the Institute and Faculty of Actuaries or equivalent, or mathematical or quantitative degree. Knowledge of Solvency II regulatory requirements and an understanding of how they impact on the business

Published: November 22, 2018   12:49              

Duration: 27 m        Workload: 100%
Duties: To take a lead role in designing machine/deep learning strategies for data-toknowledge conversion, based on the characteristics of the available data and heuristic understanding. To develop the prototype algorithms and prove their functionality using a number of data sets, including applications to biotechnology and biomedicine. To demonstrate excellent research skills and ability to work both independently and as part of a team. To assist in planning a development plan beyond the scope of the proof of concept, to be included in future funding bids. To publish research outputs in high impact journals
Minimum Requirements: Previous research and implementation experience in machine learning, modelling and data visualisation. Engage in high level research. Analysis of complex research ideas. Can apply existing methodology according to the overall context. Previously worked on relevant research projects Ability to convey complex information or ideas of detailed technical or specialist nature. Plan, prioritise and organise their own research/resources to achieve agreed objectives. Regular travel will be required associated with the collaboration between Teesside, York and Hull. Be self-directed and supportive and encouraging of others in a team. Liaise with people and participate in networks internally and externally, as required, to ensure good dissemination of research activities and facilitate collaborative work
Preferred Requirements: PhD degree in computer science or related subjects, e.g. bioinformatics, mathematics, physics, or engineering, with related experience and with the relevant technical, professional or specialist knowledge to carry out the role. Programming skills in Matlab, R, Python or similar languages. Experience in bioinformatics or deep learning. Refereed publication track record in machine learning, bioinformatics or related areas

Deadline: December 18, 2018 | Published: November 22, 2018   09:41              

Duties: The primary focus of the role is to support the Enterprise Risk Management team in the operation, development and maintenance of the internal model, including statutory and regulatory requirements. This includes running, parameterising and reporting of the internal model. To assist in embedding the internal model within the business and ensure that the processes and procedures around the model are compliant with the tests and standards of Solvency II, PRA and Lloyd’s
Minimum Requirements: If you have 1-4 years experience with Regulatory Reporting, Compliance, Model Development and Data Manipulation, please apply

Published: November 21, 2018   15:33              

Workload: 100%
Duties: The appointed Lecturer or Senior Lecturer will contribute to the School’s world-leading and internationally excellent research both individually and collaboratively; will design and deliver course modules and associated assessments; will support and mentor undergraduate and postgraduate students; and will contribute to curriculum development and innovation
Minimum Requirements: The successful candidate will have completed or will be close to completing a PhD in Finance, Financial Economics or a related field; will have published or will demonstrate strong potential to publish research of world-leading or internationally excellent quality; and will have a proven track record of excellence in delivering outstanding education and of contributing to a high-quality student experience

Deadline: December 17, 2018 | Published: November 21, 2018   12:13              

Department: Computer Science
Workload: 100%
Duties: The Department of Computer Science is seeking to recruit two highly-qualified and experienced Senior Lecturers in Mathematics. One of the candidates will be required to lead the new BSc Mathematics course which commences September 2019. Candidates must be able to demonstrate evidence of successful undergraduate and postgraduate teaching in Mathematics with expertise in one or more of the following areas: Applied mathematics; Statistics; Operations Research; Problem solving; Mathematical modelling and optimisation; Computational methods; Data structures and algorithms; Data science; Machine learning; Computer graphics/image processing
Minimum Requirements: The persons appointed will have an undergraduate degree and a PhD in Mathematics (or a related area) and will have postdoctoral experience. Candidates must have a track record of high quality peer-reviewed, international outputs
Preferred Requirements: Applicants with experience and knowledge of the industrial applications of mathematics, including best practice, are particularly sought

Deadline: December 17, 2018 | Published: November 21, 2018   10:39              

Department: Business and Law
Workload: 100%
Duties: Our School of Economics, Finance and Law within the Faculty of Business and Law is seeking to build on existing strengths by seeking to appoint a dynamic member of academic staff who can contribute to a growing teaching and research portfolio in the areas of Banking and Finance. Experience of using Bloomberg database is essential, and practical experience in Finance will be advantageous. You’ll contribute to our suite of undergraduate and postgraduate courses in the UK, as well as the joint programmes in China. You’ll also be central to the development and delivery of our existing Finance modules, including Business Forecasting and Simulation, Financial Modelling and Simulation amongst others
Minimum Requirements: With a degree and PhD or Professional Doctorate (or nearing completion within the first 18 months of employment for grade 5 Lecturer), you’ll have excellent interpersonal, communication, networking and negotiating skills

Deadline: December 16, 2018 | Published: November 20, 2018   22:54              

Workload: 100%
Duties: Carries out designated teaching (eg via lectures, seminars, tutorials, workshops, laboratory work, field trips, studio work, practicals etc) and assessment duties in areas of expertise, or as otherwise required by the Academic Strategic Lead. Participates in the development and preparation of teaching materials. Provides tutorial and personal guidance for students. Supervises undergraduate and postgraduate projects. Develops and maintains expertise in subject areas. Participates in subject and course development. Participates in curriculum development and, in particular, contributes to the introduction of new methods of teaching and learning
Minimum Requirements: Masters Degree in relevant discipline. Professional qualification relevant to the discipline. In depth knowledge and evidence of practical application of Health, Safety and Risk Management. Experience of Health, Safety and Risk Management in industry, at least at an advisory level across a substantial client base or; in a teaching or research capacity
Preferred Requirements: IOSH or IRM. PhD

Deadline: December 16, 2018 | Published: November 20, 2018   21:21              

Department: Centre for Primary Care and Public Health - Blizard Institute
Duration: 3 y        Workload: 100%
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, developing statistical analysis plans, conducting statistical analyses, and liaising with other researchers and health professionals. You will contribute to a small amount of teaching, and carry out some methodological work
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 organize and prioritise your own work are essential

Deadline: December 18, 2018 | Published: November 20, 2018   16:16              

Workload: 100%
Duties: We would like you to play a leading role in helping us build and maintain software solutions that acquire, manage and deliver Geoscience data & information to a variety of stakeholders. A focus will be on user interface development; combining design skills with front-end technical development skills to create User Interfaces (UI) to deliver and visualise BGS data and information; designing elegant user experiences that work across a wide range of digital platforms. You’ll gain exposure to a variety of modern technologies, development-environments and information-architectures, all within an agile culture that encourages learning & development and the following of industry best-practice from inception to delivery
Minimum Requirements: Undergraduate degree in relevant subject or equivalent experience. Has a passion for coding and recognises the value of code quality and best practices within software engineering. Proven front-end development skills using technologies such as HTML, CSS/SaSS/LESS, JavaScript ES6. Demonstrable IT/IS development skills across a range of other development languages such as SQL, Java, Python, PHP. Hands-on experience of version control, testing, building and automation tools
Preferred Requirements: Hands-on experience of Javascript frameworks such as ReactJS, AngularJS, VueJS. Node JS. An understanding of object oriented analysis and design. Understanding of responsive design with ability to create elegant user experiences that work across a wide range of digital platforms

Published: November 20, 2018   15:28              

Department: Space & Climate Physics
Workload: 100%
Duties: This post is engaged in GPU implementation of complex in-house software for stereo reconstruction including the development of an interface to a video “point-and-stare” system. This system now needs to be ported to a GPU-based system both for large-scale GPU processing and onboard a future satellite constellation for real-time processing
Minimum Requirements: The post-holder is expected to hold a PhD (or equivalent experience), Bachelor or MSc in Computing/Software Engineering and have significant experience in computing programming and computer vision preferably related to airborne to satellite data. Programming experience (in C++ and/or Python) for EO stereo satellite data, skills in CUDA (Compute Unified Device Architecture), knowledge of stereo photogrammetry, and knowledge of linux are also essential requirements for this post

Deadline: December 19, 2018 | Published: November 20, 2018   12:47              

Workload: 100%
Duties: The successful candidate will Lead the BDUK Operational Analysis team to ensure that it is able to carry out analysis and decision support across BDUK’s portfolio of Platform Programmes and Supporting Services and where appropriate deliver the same capability to wider Boeing
Minimum Requirements: Bachelors degree in a suitable analytical or mathematical discipline e.g. Mathematics, Operational Research, Statistics, Economics. Experience working in the field of Operational Research with a recognised supplier of Analysis and Experimentation Services to the Defence and/or Engineering sectors. Knowledge of operational Research techniques for problem solving that include the application of Discrete Event Simulation, Continuous Simulation, Spreadsheet Modelling and Multi Criteria Decision Analysis. Knowledge of statistical techniques for exploratory analysis such as Regression and Forecasting. Knowledge of systems Engineering
Preferred Requirements: Preferred formal Project Management Qualifications (e.g. APMP) or evidence of having managed dynamic, technically complex, projects for extended periods of time

Published: November 20, 2018   11:16              

Duties: Assist in the production of Legal Entity and US GAAP reserve estimates, both gross and net of Reinsurance. Assist the liaison with the claims team around impact of initiatives, and specific IBNR areas (eg CAT, financial crisis). Assistance and ownership of production of key reserving results and analytics to take key stakeholders (internal and external to actuarial) through the results relating to Casualty. Working with reinsurance to ensure ongoing understanding of outwards RI changes impacting their lines of business
Minimum Requirements: Bachelors degree or equivalent. Nearly or newly qualified member of an Actuarial Institute. Proven proficiency in actuarial concepts and methodologies, including non-standard approaches. Proficiency in reserving software e.g. ResQ. Knowledge of SAS, SQL and VBA helpful

Published: November 20, 2018   07:55              

Department: Geography
Duration: 1+ y        Workload: 100%
Duties: The main focus of the Research Fellow at UCL will be in the ingestion of Sentinel-1 SAR and optical data into the DA system. This includes: the development of suitable radiative transfer models (observation operators) to integrate SAR data into the EO-LDAS system; the harmonization of the microwave observations with the optical observations; the development of efficient strategies for preprocessing of optical and SAR data
Minimum Requirements: It is essential that the successful candidate has an MSc or PhD in remote sensing or another relevant discipline. As well as excellent scientific computing skills, including experience in Unix/Linux and a high level of expertise in the UNIX shell, Python. They will also have a sound understanding of Mathematics, in particular probability theory, Bayesian statistics and optimization theory

Deadline: December 20, 2018 | Published: November 20, 2018   07:52              

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

Published: November 20, 2018   00:18              

Department: Cardiff School of Engineering
Duration: until 18 September 2019        Workload: 100%
Duties: To conduct research within level set based topology optimization for coupled thermo-mechanical aerospace structures in a high-temperature environment and contribute to the overall research performance of the School and University, carrying out research leading to the publishing of work in high-quality journals. To pursue excellence in research and to inspire others to do the same
Minimum Requirements: Postgraduate degree at PhD level in a related subject area or relevant industrial experience. An established expertise and proven portfolio of research and/or relevant industrial experience within the following research fields: • An established expertise and proven portfolio of research in topology optimization and/or PDE-constrained optimization. • Computational methods for thermomechanics and/or heat transfer. • C++ programming skills. • Finite element methods and computational mechanics
Preferred Requirements: Relevant professional qualification(s) and experience in the following areas: • Development of Level set method. • Development of Computational methods thermomechanical structures. • Sensitivity analysis for coupled themomechanical problems. • Large scale scientific computing and parallel computing. • Open-source software or collaborative programming

Deadline: December 17, 2018 | Published: November 19, 2018   20:38              

Department: UCL Physics and Astronomy
Duration: 4 y
Duties: The successful candidate will gain expertise in theoretical and computational modeling in biophysics as well as acquire a broad knowledge of soft matter physics, cell biology and statistical mechanics. You will be trained as a multidisciplinary scientist working collaboratively as part of a research team. The goal of our research is to understand the mechanisms by which living cells, tissues, and organisms sense and transmit physical forces, change shapes, grow, self-replicate and adapt to environmental changes. We integrate methods from statistical physics, soft matter physics and systems biology to develop quantitative theoretical models across different spatiotemporal scales and across different levels of biological organisation
Minimum Requirements: The successful applicant should have (or expect to achieve) at least the equivalent of a UK upper second class MSci or Master’s degree (or equivalent) in Physics, Biophysics, Applied Mathematics, Chemistry or a relevant subject. Candidates should have a strong background in physics, mathematics, experience with programming, and knowledge of biological systems. Candidates should also have excellent written and verbal communication. Previous exposure to research at the interface of physics and biology is desirable

Deadline: December 20, 2018 | Published: November 19, 2018   05:23              

Department: Mathematics
Workload: 100%
Duties: To teach undergraduates and on the group's successful MSc in Statistics and Computational Finance, which is run jointly with the group in Mathematical Finance and Stochastic Analysis. To develop research objectives, projects and proposals and carry out, lead on or contribute to the production and dissemination of research. To design, develop and deliver teaching across a wide range of modules and will undertake a range of administrative and managerial responsibilities. To will lecture, lead seminars, tutorials and other forms of undergraduate and postgraduate teaching, etc
Minimum Requirements: PhD, or equivalent professional experience in Statistics. Appropriate academic professional and teaching qualification or a willingness to complete the Postgraduate Certificate in Academic Practice. Extensive specialist knowledge in your subject area, to design, develop and deliver, and to complement and enhance the department's research strategy and goals with publicly evidenced, high-quality research. Ability to develop research objectives, projects and proposals and have well-developed analytical skills. Ability to disseminate your research findings at conferences and other appropriate events. Ability to provide learning support to students and have knowledge of a range of teaching and research techniques and methodologies. Experience of taking responsibility for teaching and learning at both undergraduate and postgraduate level and of successful course planning, design and delivery. Advanced and specialist IT knowledge and highly developed communication skills to allow you...

Deadline: December 16, 2018 | Published: November 18, 2018   12:56              

Department: Nuffield Department of Medicine
Duration: 21 m        Workload: 100%
Duties: Reporting to the Senior Analyst in Pathogen Genomics, you will take part in various steps of data processing: gathering, validating and curating the data, as well as develop and deploy scripts to support complex analytical tasks in collaboration with members of the research team. In addition, you will schedule and monitor processing jobs and make results available in a timely manner and develop or tailor analytical tools and resources in collaboration with members of the research team
Minimum Requirements: Undergraduate degree in Computer Science, Physics, Mathematics, Engineering or other quantitative discipline, or equivalent experience. Enthusiasm for using informatics to support research and improve global health. Demonstrated proficiency in working with Linux-like systems. Excellent independent problem-solving skills. Ability to communicate effectively with people from a variety of cultural backgrounds and levels of technical expertise. Demonstrated ability to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule. Flexibility in adapting to new technologies and working with scientific software that is under continued development
Preferred Requirements: Demonstrated proficiency in Python. Familiarity with web development frameworks (eg. Django or Flask) or workflow managers (eg. Nextflow, Jenkins). Hands-on experience writing scripts that interface with relational database management systems (DBMS), especially MySQL

Deadline: January 11, 2019 | Published: November 18, 2018   12:03              

Department: Biology
Workload: 100%
Duties: The appointment is within the “Bioinformatics and Mathematical Biology” Research Focus. The successful candidate will join a thriving group of mathematical and computational researchers spanning the life sciences, with strong links to the Departments of Mathematics, Computer Science, Physics, Chemistry, Environment and Geography, and Hull York Medical School. You will develop research objectives, projects and proposals and carry out individual or collaborative research and lead on or contribute to the production of research outputs and dissemination of research outcomes
Minimum Requirements: You will hold a PhD or equivalent, and will ideally have postdoctoral experience with sustained evidence of academic excellence and of success in raising research funding. You will have the potential to continue to attract funding to develop your research portfolio. You will show commitment to undergraduate/postgraduate education and preference may be given to candidates with teaching experience or accreditation, or experience in training research students. Candidates should demonstrate how they would strengthen partnerships and disciplines within the Department and how they would foster research collaborations within the Faculty and University, as well as internationally and with industry
Preferred Requirements: We encourage applicants taking quantitative approach to biology, seeking to explain biological phenomena through mathematical or statistical analysis and modelling. We are particularly interested in candidates using large data sets and mathematical or computational approaches to provide new biological insight and/or hypotheses for experimental testing

Deadline: December 16, 2018 | Published: November 18, 2018   11:49              

Department: Public Health and Policy
Duration: 2 y        Workload: 100%
Duties: We offer an exciting opportunity for an individual to contribute to our research programme which spans public health, epidemiology, policy analysis and computer simulation modelling. We are looking for an enthusiastic and experienced statistical or scientific programmer willing to join a cutting edge Public Health modelling programme which focuses on exciting methodological challenges and policy impact. You will contribute to developing our rapidly evolving Public Health Policy Simulation Modelling research. Applications span a wide range of topical public health issues around inequalities and disease prevention
Minimum Requirements: We are looking for an enthusiastic individual experienced in three or more of the following areas: Advanced programming skills using a range of programming languages; Experience in operational research or advanced mathematical simulation modelling; A strong background on health or quantitative sciences

Deadline: December 13, 2018 | Published: November 17, 2018   18:04              

Department: Department of Computer Science
Duration: 2+ y        Workload: 100%
Duties: The Research Fellow will be responsible for carrying out research in bone data extraction and segmentation from mixed tissue data sets of multi-parametric quantitative bone MRI, and advanced AI analysis of bone pathology to develop thresholds of disease and clinical presentational models. They will also be involved in data analysis, computational and statistical modelling, medical imaging and software development
Minimum Requirements: The successful candidate will hold a PhD in Physics/Math/Imaging Science, they should also have extensive knowledge of research techniques and methodologies. An ability to analyse and write up data is essential as is the ability to present complex information effectively to a range of audiences. Experience of programming in MATLAB, Python or similar is essential

Deadline: December 18, 2018 | Published: November 17, 2018   06:06              

Department: Geography
Workload: 100%
Duties: The project takes the ambitious step of developing geographical analysis and visualisation tools that can be used, successfully, by people with limited literacy, in a culturally appropriate way. The project includes working with marginalised, non-literate communities in remote areas (e.g. Cameroon rainforest) with the aim to enable them to conduct their own environmental monitoring or mapping. The successful candidate will be required to pick up an existing code base and develop it further using GitHub as a source code management repository
Minimum Requirements: The successful applicant will need to have and MSc and/or PhD degree in relevant subject (e.g. Computer Science, Geographical Information Science, Human Computer Interaction) or relevant work experience

Deadline: December 16, 2018 | Published: November 16, 2018   17:54              

Department: Department of Pathology
Duration: 2 y        Workload: 100%
Duties: An exciting opportunity for a computational biologist with expertise in genomics and an interest in cancer evolution is now available in UCL/Francis Crick Institute, London, UK. The successful candidate will be the lead Bioinformatician for the study of tumour evolution and genetic heterogeneity of multiple sarcoma subtypes such as osteosarcoma, malignant peripheral nerve sheath tumours and chordoma
Minimum Requirements: The successful candidate must have a PhD in biological sciences (or be studying towards a PhD)

Deadline: December 17, 2018 | Published: November 16, 2018   17:31              

Department: Institute for Risk and Disaster Reduction
Duration: 1+ y        Workload: 100%
Duties: The role will include research into digital health, in particular, data science, machine learning, NLP, Bayesian inference, GIS and visualisation for healthcare professionals and decision makers in Brazil. The postholder will be a member of a vibrant research team and work closely with the project partners overseas in Recife and Campina Grande in northwest Brazil
Minimum Requirements: The postholder will have knowledge of research techniques and methodologies in data science, software development and strong programming skills, ability to analyse data using data science and statistical methods, and effective written and verbal communication skills. They should be committed to high quality research and able to work both independently and collaboratively as part of a team

Deadline: December 16, 2018 | Published: November 15, 2018   06:25              

Workload: 100%
Duties: Using industry experience & product knowledge to engage with customers and understand their workflow, requirements and problems, and then providing in-depth technical guidance on the optimal use of physical modelling to address their needs. Developing and delivering product presentations. Working with our development organisation to prioritise the development of new features in our products
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 a top tier university. MATLAB or Simulink experience
Preferred Requirements: Experience in building physical models of systems, especially in the mechanical, thermal and fluids domains. Experience working in a customer-facing role

Published: November 14, 2018   22:22              

Department: Division of Medicine
Duration: 3+ y        Workload: 100%
Duties: Main duties and responsibilities is to provide MRI help and advice to multiple hospital sites in line with the remit of the London Cancer initiative as well as to facilitate and undertake MRI-based research at UCL and UCLH. The post holder will have to play an active role in the support and management of MR research studies and activities at UCL and UCLH
Minimum Requirements: The Research Fellow will have a strong background in MRI acquisition and reconstruction as well as be able to supervise staff and students. The Senior Research Fellow will have experience in working in a clinical environment as well as experience with MR scanners from multiple vendors

Deadline: December 15, 2018 | Published: November 14, 2018   05:28              

Department: Mathematics
Workload: 100%
Duties: The UCL Department of Mathematics invites applications from candidates for a Lecturer in Pure Mathematics. The successful candidate will be expected to conduct a vigorous, high-level research programme in pure mathematics, including publishing in leading journals, and be active in seeking to obtain external income to support their research. They will contribute to the teaching of courses and supervision of projects at undergraduate and postgraduate level
Minimum Requirements: The successful candidate will have a track record of independent research excellence in pure mathematics of international standing, with a record of presenting mathematics research at national and international conferences, meetings, or workshops. They are expected to have a PhD or equivalent qualification in pure mathematics, and a commitment to sustained excellence in research and teaching. Teaching experience, including programme and course development, will also be needed. Excellent written and verbal communication is required, as well as good presentation skills. A record of successful supervision and mentoring of graduate students and research staff would be desirable, as well as an established record of excellent teaching in mathematics and the supervision of student projects or dissertations

Deadline: December 13, 2018 | Published: November 14, 2018   05:23              

Duties: We are working with a leading International Reinsurance organisation who are looking for an IFRS17 Actuary/Senior Analyst to work within an amazing team of Actuaries
Minimum Requirements: Do you have 3-6 years of experience? Are you a whiz with SQL? Are you qualified or have the relevant experience?

Published: November 14, 2018   05:23              

Department: Institute of Epidemiology & Health Care
Duration: 2+ y        Workload: 100%
Duties: Applications are invited for a research post within the Whitehall II Study Research Group offering the opportunity to take a lead in an exciting quantitative research project in ageing epidemiology. The IMPACT-BAM (better ageing model) project has developed a simulation model to predict the burden of dementia and disability, and life expectancy, in England and Wales in coming decades. The model synthesises recent epidemiological trends. Prevention scenarios to date simulate the effects of (1) reduced smoking and (2) diabetes prevalence and (3) increased investment in education.. The post-holder will coordinate the research with collaborators at University of Liverpool, and the Institute for Fiscal Studies
Minimum Requirements: Applicants must have (or shortly expect to complete) a PhD in epidemiology, statistics, quantitative public health, economics, or related discipline and be able to work independently towards the research objectives. They should ideally be skilled in sophisticated data analysis and longitudinal modelling, and have a track record in publication of original research. An interest in the determinants of health and functioning in older people, and in public health prevention, is desirable

Deadline: December 16, 2018 | Published: November 13, 2018   06:19              

Department: Knowledge Transfer Centre
Duration: 2 y        Workload: part-time
Duties: To research and apply the latest computational methods in Bayesian statistics to build a state of the art data analytics pipeline, enabling a new type of market research company to be built. You will research how to improve our Bayesian Insight engine, which primarily uses MRP (multilevel regression and poststratification), to estimate public opinion better. This research involves the development of novel methods in Bayesian statistics and machine learning, analysis on various datasets, and implementation of statistical models into production
Minimum Requirements: MSc or PhD in statistics, computer science, economics, mathematics, cognitive science, physics or other quantitative field. Experience in applied Bayesian statistical modeling. Fluency in Python or R. Interest in campaigns, politics, or public opinion. Passion and eagerness to constantly learn and teach others
Preferred Requirements: Experience with Bayesian probabilistic programming using languages such as Stan, pymc3, Edward (tensorflow probability), or JAGS. Internship or work experience in applied statistics or machine learning. Experience with MRP (multilevel regression and poststratification). Management of collaborative research projects in an academic or software engineering setting. Knowledge of relational database and cloud computing infrastructure. Knowledge of version control software such as git

Published: November 12, 2018   11:49              

Department: Mathematics
Workload: 100%
Duties: We are seeking a postdoctoral Research Fellow to join a collaborative project and work with expert team members from the mathematical, computational and geophysical communities. The main type of work for the post is in PDE analysis and involves applying functional and harmonic analytical theories to validate and explore a set of innovative hypotheses which can change our existing views of resonances in multiscale fluid dynamics and can lead to great impact in high performance computing. Based on critical thinking and rigorous analysis, take initiatives and challenging the original hypotheses is encouraged. One or more publications (solo or joint authorship) in high-ranking mathematical journal is expected
Minimum Requirements: The post holder must have (by the time of appointment) a PhD in pure/applied mathematics and good track record of research in mathematical analysis
Preferred Requirements: Research experience in PDE analysis, numerical analysis and/or harmonic analysis is highly desirable

Deadline: January 8, 2019 | Published: November 10, 2018   15:09              

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