Duration: Until 1 June 2028       
Workload: 100%
Duties: Join an interdisciplinary team to develop novel analytical frameworks for soft robotic manipulators, bridging Robotics and intelligence; conduct advanced mathematical modeling, Machine Learning for sensor data interpretation, design experiments, and collaborate with partners to achieve superior robot dexterity
Requirements: PhD (or close to completion) in Robotics, Control Engineering, Applied Mathematics, Computer Science, or related field; strong expertise in analytical modelling of dynamic systems and physical interactions; experience in using data analysis to identify system parameters or model physical phenomena; knowledge of soft Robotics, continuum robots, or flexible manipulators; excellent programming skills (e.g., Python, C++, MATLAB); strong publication record in reputable journals or conferences

Workload: 100%
Duties: Lead the design, development, and optimisation of CI/CD solutions within Azure DevOps, Jenkins, and related tooling to support the development community; collaborate with engineers and partners across the business to ensure robust and future-ready CI/CD capabilities
Requirements: Strong experience with software development and DevOps tools such as Git, Azure DevOps (essential), Jenkins, GitHub (preferred), Artifactory, Xray, SonarQube, container technologies, and cloud platforms; proficiency with technologies including Terraform, YAML, Python, Groovy, and Bash; solid understanding of SDLC principles and agile methods; excellent communication and collaboration skills; strong analytical and problem‑solving abilities

Duties: Define scope of use and processes to support SCOR’s strategy and improve the performance of the casualty lines of business via both risk selection and accumulation control; Support underwriters during client visits as it relates to Casualty exposure data and Accumulation; Develop processes ranging from supporting the Global and Legal Entity accumulations of risks to monitoring against limits/capacities; Contribute to the event response process as it relates to Casualty lines; Enhance, harmonize and maintain the tools and systems to support the risk accumulation process; Expertise in Property and Casualty risk modelling and aggregation, in particular US Casualty is essential. The job also requires significant internal interaction with stakeholders across many functional areas including underwriting/management, Actuarial pricing (and reserving), legal and claims
Requirements: Extensive Insurance or reinsurance experience in Actuarial or quantitative areas such as capital modelling, pricing and/or reserving or technical Underwriting, with a focus on Casualty related lines with a significant concentration of this experience related to US Casualty; Personal Competencies: Excellent Analytical and Synthesis skills: Drills down to explore root causes of observable facts; is able to reduce complicated factual contents to the essentials; Sound knowledge of insurance/reinsurance business and principles; Hands-on leadership with excellent communication skills: Has very good listening skills and communicates clearly and concisely verbally and in writing at all levels; Collaborative spirit: key to both the risk aggregation process; Good understanding of Actuarial/Risk Assessment/Financial Techniques in particular related to the aggregation of risks; Digital Competencies: Experience in using standard Business Software a must; Competence in a language/tool supportin...

Workload: 100%
Duties: Support operational delivery of performance reporting, business intelligence, management information, and statistical analysis; assist with Freedom of Information and ad-hoc data requests; perform in-depth analysis of strategic datasets; develop and maintain reports for stakeholders; support university-wide communities of practice and data transformation projects
Requirements: Relevant degree in Statistics, data science, computing, maths or similar; experience with administrative software (e.g., Microsoft 365) and data processing/visualisation tools (e.g., Power BI, Tableau, Alteryx, Python, R); ability to work in cross-functional teams and communicate data findings to non-technical stakeholders; experience managing stakeholders and service delivery; ability to prioritise and manage a varied workload independently; high level of professional integrity and discretion

Duration: 3 years       
Workload: 100%
Duties: Work as a scientific software engineer within the PROMOTE project, developing and optimizing a new hybrid-resolution version of the 2nd UK Earth system model (UKESM2) to investigate risks, consequences, and interactions of abrupt changes in the North Atlantic subpolar gyre and the Greenland ice sheet
Requirements: Expertise in programming; ability to work in teams; willingness to undergo security clearance at the Met Office; eligibility to work in the UK (permission required if not British/Irish citizen); experience in scientific software engineering; knowledge of Earth system or Climate modelling

Duration: 4 years fixed-term       
Workload: 50%
Duties: Undertake a full-time PhD research in computing or mathematical sciences and provide assistance to academic staff by supporting classes, leading seminar discussions, participating in marking assessments, and administration as a part-time Graduate Teaching Assistant
Requirements: potential to conduct high-quality research in Computer Science, Mathematics, Statistics and/or Probability theory; effective Teaching at postgraduate level online; good organisational and administrative skills to meet deadlines; good first degree or masters in a relevant discipline; practical knowledge of Python and SQL; good understanding of Information Systems and Data Management; eligibility for acceptance to the MPhil/PhD in the School of Computing and Mathematical Sciences; submission of application to the department’s full-time MPhil/PhD with an original research proposal

Duration: 24 months       
Workload: 100%
Duties: Conduct quantitative research on adverse events and their impact in adults and adolescents with rheumatic diseases receiving immune drugs, as part of a national consortium; collaborate with researchers, clinicians, patient partners, and knowledge mobilisation specialists to inform musculoskeletal care
Requirements: PhD in Epidemiology, data science, Public Health, Statistics or equivalent; experience with quantitative research and large observational data; knowledge of Statistical Analysis methods (e.g. multivariate regression, longitudinal analysis); understanding of real world data; desirably knowledge of NLP and Machine Learning for text data analysis

Duration: 4 years
Duties: The role involves developing and integrating Machine Learning techniques to enhance boundary layer modelling in industrial CFD simulations, curating high-fidelity simulation data, evaluating suitable ML architectures, and demonstrating their integration within open-source CFD software during a collaborative research project with Siemens Digital Industry Software
Requirements: High 2:1 or 1st class degree in Mechanical or Aerospace Engineering or related discipline with substantial background in fluid mechanics; strong knowledge of numerical methods and fluid mechanics; experience with scientific programming and Data Analysis (Python, Julia, MATLAB, C/C , or similar); ability to work independently and in teams; experience of applying CFD to complex problems; appreciation of meshing requirements for aerodynamic simulations; experience with Machine Learning or data-driven modelling techniques

Duties: Conduct research on turbulence detection and quantification in blood flow using 4D MRI and vascular flow phantom experiments, compare and calibrate MRI data against Particle Image Velocimetry (PIV), and develop Computational Fluid Dynamics (CFD) techniques for new MRI scanning strategies
Requirements: University graduate or expected to graduate with a 1st class degree in Engineering, Physics, Computer Science or applied maths, preferably at master's level; 2:1 degree considered with prior relevant research experience; self-funding or external/government funding required; students from China encouraged to apply with China Scholarship Council

Duties: Develop novel safe and robust reinforcement learning methods with control-theoretic foundations; investigate stability, robustness, and safety guarantees for learning-based control systems; apply and validate methods on embodied robotic platforms or simulated scenarios; publish research in leading international journals and conferences
Requirements: First-class or high 2:1 degree in relevant subject (e.g. Robotics, Computer Science, electrical/electronic engineering, Mechanical Engineering, aerospace engineering, applied mathematics); strong interest in control theory, reinforcement learning, Robotics, or autonomous systems; programming experience (e.g. Python, MATLAB, C/C ); background in control theory, dynamical systems, optimisation, or Machine Learning (desirable); experience with Robotics, ROS, simulation environments, or learning-based control (desirable)

Workload: 100%
Duties: Responsible for day-to-day portfolio management of evergreen solutions, implementing private markets evergreen funds, conducting analysis and reporting, supporting portfolio proposals, and operating proprietary systems
Requirements: University degree with emphasis in Finance, Economics, Mathematics or similar technical field; 7-10 years'experience in private markets or portfolio construction in a multi-asset context; professional qualification (e.g. CFA, CAIA) desirable; advanced excel skills; experience liaising with clients preferred; passion for private markets and quantitative analysis; strong work ethic; attention to detail; effective and reliable team player

Duties: As a Senior Longevity Pricing Actuary, you will be responsible for pricing longevity reinsurance transactions, working closely with underwriters and clients to develop innovative solutions
Requirements: Extensive experience in Actuarial pricing, particularly in longevity risk; Strong analytical and problem-solving skills; Excellent communication and interpersonal skills; Ability to work collaboratively in a team environment; Professional Actuarial qualifications (e.g., FIA, FSA)

Duration: 36 months       
Workload: 100%
Duties: Collect and analyse data on financial institutions'services to high-emitting market actors; build agent-based models to study behaviours and legal interventions; present research in academic papers; contribute to research publications and proposals; participate in research clusters and teaching opportunities
Requirements: PhD (or equivalent) in Applied Mathematics, Physics, Computer Science, Sustainability Science or closely related field, or Computational Social Sciences (Anthropology, Economics, Finance, Law, Psychology, Sociology or related disciplines); strong knowledge of complex systems and non-linear dynamics; understanding of agent-based modelling; advanced programming skills in a relevant language (NetLogo, Python, Java, Julia, C++); competence in data handling and analysis; ability to write clear, well-structured code; effective communication skills; innovative research ability; strong organisational and project management skills; experience with computational or simulation-based modelling; Statistical Analysis experience; track record in independent research; experience presenting research findings

Workload: 100%
Duties: Provide technical and strategic leadership for the University’s High-Performance Computing (HPC) and Research Computing services; enable world-class research by ensuring secure, resilient, high-performing computing and data platforms; lead the design, development and operation of HPC and research computing platforms; set technical direction for Research Computing services; work with academic stakeholders and DDaT colleagues to deliver scalable and reliable services; represent the University in the HPC community; lead and develop a specialist research computing team
Requirements: Expertise in research computing or High-Performance Computing (HPC); experience delivering and developing HPC or research computing services across on-premise and cloud environments; knowledge of Linux infrastructure including scheduling systems, storage, and performance optimisation; technical and architectural leadership skills in complex organisations; enabling research excellence through digital infrastructure; experience leading and developing technical teams; ability to work with academic stakeholders and translate research requirements into solutions; strategic, service-focused approach balancing performance, resilience and sustainability

Workload: 100%
Duties: Help to develop operational data services exploiting on-prem and cloud computing technologies to efficiently produce radar products; help to support Met Office scientists and engineers to develop high-quality code and implementations of their research; collaborate with a motivated team to deliver projects that solve real world challenges
Requirements: Experience and knowledge in a mathematical, physical or computational science or related discipline, equivalent to a graduate level; use of your scientific and technical insight to solve scientific tasks or problems; experience in writing and understanding Python code in a Linux environment; experience in using good Quality Assurance processes in your work; communicate scientific and/or technical knowledge accurately, concisely in different situations

Workload: 100%
Duties: Lead strategic planning and institutional performance; provide analysis, forecasting, and modelling for senior leaders; oversee dashboards and analytical products; drive innovation in data science; champion a data-driven culture; lead and develop the data science and analytics function
Requirements: Strong technical expertise in analytics, forecasting or data science; ability to translate complex information into strategic advice; experienced people leader; excellent communication skills; ability to influence at senior levels; collaborative approach; service mindset; commitment to continuous improvement; experience in higher Education is welcome but not essential

Workload: 100%
Duties: Engineer UEA’s recoverability, map dependencies, design recovery sequences, and execute tests that prove resilience. Turn policy into practice: dependency mapping, recovery runbooks, coordinated DR tests, and CMDB maintenance. Collaborate with senior Technical Leads and Head of ITDR to embed recoverability into change and service introduction
Requirements: Hands‑on breadth across infra, platforms, networking, identity, Databases, backup/restore, Middleware and service management; strong ITDR experience; ability to turn complex systems into clear, testable recovery steps; great communicator for both engineers and non‑technical stakeholders; (Nice to have) ISO 22301, ITIL, CBCP/CISSP, TOGAF/SABSA; HE systems familiarity

Duties: Provide proactive support to MSc Data Science students in their final project module via the Virtual Learning Environment; supervise students'independent projects; mark summative assessments; provide detailed feedback
Requirements: Experience working in a Higher Education Institution; postgraduate qualification in data science or a related field; enthusiasm and motivation for supporting students; experience in distance learning; experience with assessment duties similar to those outlined in the role description

Duties: Provide proactive support to students for the Financial Markets module of the MSc Data Science programme, including guidance via Virtual Learning Environment, marking assessments and providing feedback; work with Module Leader, Programme Director, and Programme Manager
Requirements: Experience working in a Higher Education Institution; postgraduate qualification in data science or related field; experience with distance learning and online tutoring; extensive assessment experience; ability to provide references including two professional referees; must not require visa sponsorship or hold a student visa

Workload: 100%
Duties: Deliver Underwriting analytics and business planning for the Lloyd’s platform; manage and develop the Lloyd’s business planning model; produce and enhance portfolio analytics and performance insight; support portfolio management initiatives; collaborate with senior stakeholders for forecasting and data analysis
Requirements: Strong analytical capability, ideally developed through Actuarial, Underwriting performance, portfolio management, Finance, or analytics roles; solid understanding of Insurance fundamentals with Lloyd’s market exposure highly desirable; experience with, or ability to quickly learn, Lloyd’s business planning processes, regulatory returns, and portfolio reporting; advanced Excel skills, including complex modelling and scenario analysis; experience with SQL, R, Python, Power BI or Qlik is an advantage; structured and logical problem solver; able to translate complex analysis into clear insights and communicate with non-technical stakeholders

Duration: 36 months       
Workload: 100%
Duties: Conduct independent and collaborative research in discrete Mathematics and Geometry, focusing on rigidity theory, graphic statics, and the incorporation of moments and shear forces; develop and apply mathematical tools from rigidity theory, discrete Geometry, Combinatorics, and algebraic topology; collaborate with project partners and national/international collaborators; prepare high-quality research outputs and present research findings at conferences, workshops, and seminars
Requirements: A PhD (or near completion) in Discrete Mathematics or a closely related field; expertise in at least one of the methodological areas of the project, namely rigidity theory, graphic statics, discrete Geometry, Combinatorics, or algebraic topology

Duration: 24 months       
Workload: 100%
Duties: Contribute to Newcastle University’s Centre for Ageing research by leading and supporting quantitative analyses, evidence synthesis and ageing research, and working on projects with a global focus
Requirements: Strong background in quantitative analysis; experience in evidence synthesis; experience with ageing research; PhD in Public Health, Epidemiology, Biostatistics, or data science; competence in R or Stata; experience Publishing peer-reviewed articles; ability to handle and analyse large complex healthcare data; excellent written and verbal communication skills; experience managing research datasets and programming; ability to adhere to data governance and data protection; experience with systematic reviews; organisational and interpersonal skills; commitment to personal development; Master’s degree in Statistics, data science, Public Health or related quantitative subject (or equivalent)

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, AICOS Technologies AG, Alma | Life, Health and Pension AG, Actuarial and Risk Consulting Stoll GmbH, AT Analytics AG, Basycon Unternehmensberatung GmbH, Consult AG Statistical Services, Institut für Datenanalyse und Prozessdesign (Zürcher Hochschule für Angewandte Wissenschaften), Intuitive Collaboration AG, Keller Experten AG, Kellex AG, Libera AG, Systemorph AG

Duration: 2 y       
Workload: 100%
Duties: Contribute to the RIPPLE research programme aiming to improve sustainability in health services by developing methods to integrate diverse stakeholder views; support design, conduct and analysis of systematic reviews; conduct elicitation studies and quantitative analyses relevant to sustainability; and contribute to research publications and proposals
Requirements: Honours degree in a relevant subject or equivalent; theoretical and practical knowledge of elicitation methods; experience of statistical analysis; knowledge of environmental sustainability in the NHS or related topics; quantitative Data Analysis skills; research creativity; communication skills; interpersonal and teamworking skills; project management abilities; IT and data interpretation skills; self-motivation; problem-solving skills; relevant research experience; experience in scientific writing; evidence of research publications

Duties: As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and Insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk”, SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society
Requirements: We crawl all higher jobs at CeMM automatically and post them at acad.jobs. Additional jobs can be found by clicking here