Duties: Quantitatively and qualitatively modelling risk; Building new tools; Data analysis; Model validation; Mathematical modelling; Software development; Develop project specifications, present solutions and write reports; Build up skills and expertise that can be shared and leveraged within the firm
Requirements: Outstanding university degree (Master/PhD) in physics, mathematics, computer science or natural, engineering or economic sciences with a corresponding quantitative, analytical or technological specialisation; 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

Department: Great Ormond Street Institute of Child Health - Population, Policy and Practice Programme
Workload: 100%
Duties: The post offers an excellent opportunity for a postdoctoral researcher to enhance their expertise in analysis of administrative datasets to inform policy and practice for the health of children and families. The post holder will work on ECHILD (a database that joins together existing health, education and social care information for all children in England for the first time) to describe the relationships between chronic health conditions, school absence and school attainment, and how these relationships vary according to social disadvantage and school characteristics
Requirements: PhD (or pending qualification) in epidemiology or statistics or related area. Research experience of analysis of large, complex data sets using standard software packages (e.g. Stata). Experience of analysing longitudinal health or education data

Department: UCL Queen Square Institute of Neurology - Department of Clinical and Movement Neurosciences
Workload: 100%
Duties: Applications are invited for a Research Assistant post in the Department of Clinical and Movement Neurosciences, which is a world-leading group that brings together scientific expertise across disciplines in the field of neurodegenerative disorders. The Department incorporates groups from the Queen Square and Royal Free campuses of the Institute and includes the Movement Disorders Centre. The post holder will be responsible for the analysis of available datasets on a range of studies in Parkinson’s disease, participation in the collection of new data, and writing papers and, where appropriate, will lead in presenting data based on the research. Honorary Clinical contracts will be sought from UCLH and Royal Free London NHS Foundation Trusts, for which a DBS check will be required
Requirements: The successful candidate will have an Honours degree (minimum 2: 1) in Psychology/Statistics/Applied Health Research or a related discipline. Experience of scale development and/or validation techniques, Rasch/IRT analysis methods, and management and storage of research data in accordance with research governance is essential. Excellent oral and written communication skills, including scientific writing, strong problem solving abilities, knowledge of research design and research methodology for experimental and observational studies, and a very high level of consideration and care for patients and research subjects are also required. Experience of a range of clinical assessments in the NHS and in clinical research projects in the NHS is desirable

Duties: Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, and Robotics; As an Amazon Scholar, your responsibilities may include: Advising business leaders on strategic plans; Diving deep to solve a specific technical problem in an organization’s roadmap, and; Advising junior researchers on methods
Requirements: PhD in a relevant field or related discipline; 7+ years of relevant work or academic experience; Experience leading technical research projects with multiple stakeholders; Current affiliation with an academic or research institution

Department: Applied Health Research
Workload: 100%
Duties: ▪ Developing and delivering the portfolio of Academy short courses (including online versions), including the development of the online version of ‘Economic Evaluation’ course; ▪ Adapting materials for inclusion as modules for MSc courses across the Institute; ▪ Supporting the ARC North Thames PhD programme; ▪ Assisting with development and delivery of Academy evidence implementation activities; ▪ Contribute to developing an evaluation framework to assess the impact of ARC training for capacity and capability building
Requirements: The Associate Lecturer will hold or will soon be awarded a PhD in a discipline relevant to applied health research, or equivalent relevant experience. Experience of undergraduate and/or postgraduate teaching and other forms of public presentation of applied health research is essential. It would be advantageous for the post-holder to have a quantitative or mixed-methods background, and experience of online teaching

Department: Dept of Medical Physics & Biomedical Engineering
Workload: 100%
Duties: We invite applications from strong candidates who have experience in computational algorithms for medical image analysis or computer vision, ideally with experience in deep learning, computational statistics, and/or surgical guidance. The successful applicant will be responsible in curating clinical data and developing machine learning approaches and software, such as medical image registration, imaging guidance and disease risk modelling, in surgical and interventional procedures for prostate cancer; This project aims to apply modern machine learning methods to model the risk of prostate cancer on large multimodal imaging data sets and predict disease progression from serial MRI scans; The successful candidate will join the UCL team, which is part of two world-leading research centres, the UCL Centre for Medical for Medical Image Computing (CMIC) and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS). The centres are supported by well-equipped computational and...
Requirements: Candidates must have a Undergraduate degree (equivalent to an upper second class Honours degree) and/or a Masters-level degree in Mathematics, Engineering, Physics or Computer Science; Expert knowledge in one or more of the subject areas below: Machine learning and statistical modelling Medical image analysis algorithms, e.g. Image registration, segmentation, or reconstruction Histopathology data processing Reinforcement learning Medical device sensors; Experience in deployment of deep learning algorithms and experience in leading independent research projects are desirable criteria

Department: Civil, Environmental & Geomatic Engineering
Duration: 3 y
Duties: PhD candidate at Institute with teaching support responsibilities; Through your research, you will develop skills in experimental work in finance and digital finance, software development, data analysis and effective communication; Also responsible for supporting Prof Francesca Medda and the Industrial Professors and Lecturers of the MSc Banking and Digital Finance; The work includes assessment of student coursework, teaching classes, marking exams, supervising and assisting students throughout their Masters degree
Requirements: Applicants must hold or expect to obtain a 1st class Masters degree in finance, economics, statistics, maths/physics and computer science. Applicants with experience and background in risk modelling especially credit risk analysis are particularly encouraged to apply

Duties: Here you will find companies/institutions offering quantitative consulting (Mathematics, Statistics, Actuarial consulting, Data Mining, Econometrics, Operations Research, Bioinformatics & more). Please contact these companies directly
Requirements: Currently, we list the following companies: acad.jobs AG, Aeiforia GmbH, AICOS Technologies AG, Alma | Life, Health and Pension AG, Actuarial and Risk Consulting Stoll GmbH, Consult AG Statistical Services, d-fine, D ONE Solutions AG, Institut für Datenanalyse und Prozessdesign (Zürcher Hochschule für Angewandte Wissenschaften), Intuitive Collaboration AG, Keller Experten AG, Kellex AG, Libera AG, Milliman, Polynomics, Tarigan Statistical Consulting and Data Analysis

Duties: Develop and implement approaches to acquire, analyze, interpret and apply human genetic evidence to inform target selection and validation decisions across a range of disease areas; Participate in project teams with GSK scientists and external collaborators; Find creative solutions and quickly prototype applications to address challenging scientific questions; Contribute to the developing science of drug target identification and validation, providing scientific expertise within Human Genetics and across the Research organization
Requirements: Ph.D. or equivalent experience in statistical genetics, genetic epidemiology, statistical bioinformatics, or a related field; Proficient in analyses of human genetic and phenotypic data, interpretation of genetic associations, and use of functional annotation to investigate potential causal mechanisms, with publications in peer reviewed journals; Proficient in at least one general purpose programming language suitable for statistical genetic analyses, including either R or Python. Familiarity with other statistical genetics tools including Hail is a plus; Demonstrated skills in working in teams to find creative ways to address scientific questions; Excellent communication and influencing skills and developing leadership skills for working with multidisciplinary teams and with international colleagues

Department: Research Department of Clinical, Educational and Health Psychology
Workload: 100%
Duties: The Research Fellow has a crucial role to play in supporting the study leadership team and wider group of investigators in analysing data arising from the project and drafting technical reports, briefing documents and papers. A key responsibility will be managing a new smartphone data collection tool and working closely with collaborators and the app development company to optimise and revise the tool as the project progresses. You will be a key player in the long-term success of this exciting project, and the role will provide ample opportunity for career and skill development, including writing papers and reports and disseminating the study to a wide audience
Requirements: We are looking for an individual with outstanding research skills, who can manage complex longitudinal datasets and conduct advanced statistical analysis. The post holder should have experience in longitudinal research, experience of multivariate statistical analysis, good knowledge of IT systems and database applications, and a PhD in a relevant field; Strong writing skills are essential. Experience in preparing and documenting study datasets for public sharing would be an advantage. Experience developing or managing smartphone apps for research purposes would also be an advantage. We actively encourage applications from Black, Asian and Minority Ethnic candidates

Department: Department of Mechanical Engineering - Department of Mechanical Engineering
Duration: 3 y
Duties: The aim of this PhD project is to develop, build, and test a highly efficient and compact integrated inverter drive for a high-speed compressor for fuel cell air supply. Development of a novel power electronic topology combined with utilising emerging high-bandgap power semiconductor devices (SiC and GaN), and novel thermal cooling technologies (microchannel cooling) can result in reduced inverter size, increased inverter efficiency, improved output current quality, and reduced motor losses
Requirements: Applicant should have, or expect to achieve, a master’s degree in engineering, computer science, or a closely-related discipline, awarded with first-class or upper second-class (2: 1) honours (or equivalent). The successful candidate should have strong self-motivation and dedicated passion for research, in addition to the willingness for team-working and the ability to deliver research outcomes to meet deadlines

Department: Department of Epidemiology/IEHC
Workload: 100%
Duties: The post will be based within the English Longitudinal Study of Ageing team that carries out high quality research in ageing. The post holder will be working on a project based on six National Core Studies (NCS) focussing on key areas in which the UK needed to increase research scale to respond to the near term strategic, policy and operational needs
Requirements: PhD in statistics, medical statistics, epidemiology, quantitative social science or other relevant disciplines; Essential skills in statistical analyses of longitudinal data, data management and data analysis, preferably in health or healthcare related areas

Duties: Perform, plan co-ordinate and implement the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing and (ii) the programming of analysis datasets (derived datasets) and transfer files  for internal and external clients and (iii) the programming  quality control checks for the source data and report the data issues periodically; Ability to interpret project level requirements and develop programming specifications, as appropriate, for complex studies; Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to SP teams and Statistical Programming department, for complex studies
Requirements: Minimum of 8+ years of experience in Statistical Programming in pharmaceutical or medical devices industry; Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis and reporting of analysis results; Good understanding of ICH E6, ICH E3, ICH E8, ICH E9 and clinical research processes; Thorough understanding of relational database components and theory; Must have excellent knowledge of CDISC standards (SDTM andADaM)

Department: Social Research Institute - UCL Institute of Education
Workload: 100%
Duties: This post represents an exciting opportunity to join the existing team of research data managers to take forward management of the research data for the cohort studies managed by the Centre for Longitudinal Studies (CLS). Data management at CLS uses a combination of PostgreSQL database, R, SPSS and Python; You will have a good understanding of, and the skills required for, the preparation of complex longitudinal data for research purposes. You will have an interest in interdisciplinary research in the social sciences and be committed to the provision of high quality, well documented data, structured to facilitate research
Requirements: You should have an MSc or equivalent experience in a quantitative science discipline or equivalent professional experience. Candidates with a background in computer science or other analytical areas (e.g. operational research) are also welcome. They will have proven experience in data management, preferably of social science or health data, and be able to manage data using code/syntax in statistical packages. They will also have experience automating, streamlining and improving processes using programming tools, and working knowledge of R and/or Python

Duties: Perform, plan co-ordinate and implement the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing and (ii) the programming of analysis datasets (derived datasets) and transfer files for internal and external clients and (iii) the programming quality control checks for the source data and report the data issues periodically; Ability to interpret project level requirements and develop programming specifications, as appropriate, for complex studies
Requirements: Minimum of 5+ years of experience in Statistical Programming in pharmaceutical or medical devices industry; Must have expertise of SAS® Base, and good knowledge of SAS® graph and SAS® Macros; Capable of implementing more advanced statistical procedures as per specifications provided by biostatistician; Must have excellent knowledge of CDISC standards (SDTM and ADaM); Thorough understanding of relational database components and theory; Excellent application development skills; Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis and reporting of analysis results

Duties: Here you find a list of all institutions (universities and companies) with direct links to their jobs site. This is to our knowledge the most comprehensive global list you will find. Additionally, you will find many jobs that are currently not advertised at www.acad.jobs or elsewise. This is useful, if you definitely want to work in a particular country
Requirements: If you are working in an institution that wants to be listed and if you are in charge, please contact us. Please contact us if a link is broken

Department: Department of Mathematics
Workload: 100%
Duties: The responsibilities of the post will include: to teach 1 course in Economics at undergraduate level in Mathematics, as allocated by the Head of Department and reviewed from time to time by the Head of Department, develop teaching materials for online delivery of material, and assist other staff with carrying this out for their own courses as well as assist in the development of learning materials, preparing schemes of work and maintaining records to monitor student progress, achievement and attendance
Requirements: The successful candidate should have a PhD or equivalent qualification in mathematics or a related subject area, they must be able to demonstrate teaching ability in mathematics at degree and/or masters level and have the interpersonal skills required to work well with students and academic colleagues. They should have the ability to teach Economics at undergraduate level, to adapt to remote teaching using relevant technology including (but not limited to) Moodle and to supervise academic work by undergraduate students

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
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

Department: Research Department of Genetics, Evolution and Environment/Division of Biosciences - NPP
Workload: 100%
Duties: The Research Department of Neuroscience, Physiology & Pharmacology (NPP) at University College London (UCL) invites Expressions of Interest from early career researchers who wish to be sponsored for external fellowships to establish an independent research group via a tenure-track like process. We are looking for candidates to address fundamental questions in neuroscience, physiology and/or pharmacology using innovative approaches and technologies and to contribute to our teaching programmes
Requirements: Candidates should confirm their eligibility for specific fellowships schemes and will be required to provide evidence of eligibility to work in the UK before commencing any fellowship offered

Department: Department of Applied Health Research
Duties: UCL invites applications for this exciting opportunity to work with the Health Economics Group in the Department of Applied Health Research (DAHR), the NIHR Applied Research Collaboration (ARC) North Thames, and UCLPartners. We are seeking to appoint a highly motivated individual with experience in health economics, econometrics, medical statistics or related areas. The post holder will primarily lead (Senior Research Fellow)/contribute to (Research Fellow) the design and analysis of health economic studies of large-scale health policy programmes and econometric evaluation of health and social care interventions. This is an exciting opportunity to undertake health economics research that directly informs policy making by harnessing large, linked health and care data
Requirements: Applicants should have a PhD in health economics, medical statistics or related areas, or equivalent research experience; They should have experience in: Developing and delivering research grant funding applications Have a good peer reviewed publication record Experience with R software; for appointment at Senior Research Fellow (Grade 8) candidates are expected to have: A strong research background evidenced by peer reviewed publications and research funding (PI or co-I) from external funding bodies

Department: The Bartlett School of Environment, Energy and Resources
Workload: 100%
Duties: The UCL Institute for Sustainable Resources delivers world-leading research, teaching and enterprise in the sustainable use of the global resources. The Research Fellow will contribute to two projects, namely i) the LINKS project (ERC Starting Grant); and ii) Financing the Extractive Industry to Contribute to the Achievement of the Sustainable Development Goals report, funded by the UN Environment Programme, as part of its International Resource Panel (IRP) Work Programme Resources and Finance. The ideal candidate is a highly quantitative, analytical and policy-oriented person, with an expert knowledge of computer programming and network models, and a keen interest in their application to climate finance, sustainable resources and multi-disciplinary research
Requirements: The successful candidate will have a PhD, or be near to completion, in a quantitative field (e.g. Economics, Statistics, Finance, Statistical Physics, Mathematics) with a deep knowledge of research techniques and methodologies related to network models and complexity approaches; A broad knowledge of low-carbon investments, mineral resources, financial markets, current debates and research agendas in the field of climate finance is essential for the role. An interest in climate finance policy implications is desirable

Department: Applied Health Research
Duties: The NIHR ARC North Thames works together with its university, NHS, local authority, patient, charity and industry partners to identify the key health and care problems facing organisations in our partnership. We design innovative research in response and rapidly put findings into practice across our region and beyond. Working as a member of NIHR ARC North Thames Research Partnership Team the post holder will apply appropriate and innovative health economics and quantitative research methods to a range of experimental and observational study designs used in population health and health services research
Requirements: The post holder should have a PhD in health economics, or equivalent research experience. They should have experience of developing and delivering successful research grant funding applications, and a good peer reviewed publication record

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.acad.jobs/Tutoring for one year. For an additional cost of 200 CHF, Euro or US$, your listing will appear in the "Featured Tutors" section on the main page of www.acad.jobs/Tutoring. Banner: Annual cost is 500 US$ per 20 % call probability at www.acad.jobs/Tutoring
Requirements: Degree or student or other experience in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics

Department: Epidemiology and Public Health/IEHC
Workload: 100%
Duties: The primary roles of the post holder will be to develop a Markov model using appropriate epidemiological and statistical methods, and to build appropriate economic and policy scenario models based upon this Markov simulation. The post holder will analyse longitudinal and cross-sectional epidemiological data for input to the simulation model, program the model and write up outputs derived from the simulations
Requirements: Relevant PhD degree e.g. epidemiology, biostatistics or related quantitative discipline or equivalent research experience, strong quantitative skills in epidemiology and computer programming, in R, Stata or similar languages are. Publications as first or last author in internationally refereed journals on topics mentioned in Job Description and organisation and delivery of teaching and supervision at undergraduate/postgraduate levels

Department: Division of Psychiatry
Workload: 100%
Duties: The goal of the initiative is to exploit computational approaches to behaviour to leverage insights into core deficits that underpin psychotherapeutic interventions for depression such as behavioural activation. The project is focused on combining longitudinal online or smartphone human cognitive and affective function measurements with computational modelling. Main duties involve developing robust, reliably and clinically useful tasks and other measurements to robustly assess the impact and to predict the efficacy of psychotherapeutic interventions for depression at an individual level
Requirements: The post holder must have a PhD in Neuroscience, Psychology or a quantitative field with experience in the treatment of mental illnesses, particularly psychotherapy for depression; Experience of theoretical and computational neuroscience in relation to learning and decision making is essential for this role, as well as strong mathematical and programming skills