Postgraduate Research Associate in AI Surrogate Models for Forward Stratigraphic Modelling

Job title:

Postgraduate Research Associate in AI Surrogate Models for Forward Stratigraphic Modelling

Company:

Queen Mary University of London

Job description

About the RoleWe are looking for a motivated postdoctoral research associate (PDRA) to join the research group of Professor Cédric John. You will be a key member of the John Lab, contributing to our development and the success of our mission, as well as collaborating with key members of TOTAL OneTech, which will include regular visits to Pau (France) to present results.The aim of the research project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely with partners in TOTAL OneTech, and members of Professor John’s research group.The role is funded for up to 24 months in the first instance, with an expected start by March 2025.About YouYou will have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in developing surrogate models. You also will have a good track record of publishing your research in the peer-reviewed literature, and where relevant, of writing or helping to write research grants.How to ApplyPlease submit an application via the Queen Mary Portal and upload a copy of your CV.Please do not upload copies of research papers.About the InstituteThe role will be based in the Digital Environment Research Institute (DERI). DERI is Queen Mary’s flagship University Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). DERI offers an outstanding research environment including a dedicated physical space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI leads the university’s participation in The Alan Turing Institute, the UK national institute for data science and AI.

About Queen MaryAt Queen Mary we believe that a diversity of ideas helps us achieve the previously unthinkable.Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.We continue to embrace diversity of thought and opinion in everything we do.BenefitsWe offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, campus facilities and flexible working arrangements.Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.This role is supported by AI Futures Grants, a Government scheme designed to help the next generation of AI leaders meet the costs of relocating to the UK. AI Futures Grants provide financial support to reimburse relocation costs including travel/subsistence expenses. Successful candidates for this role may be able to get up to £8,000 to meet relocation costs, subject to terms and conditions.Valuing Diversity & Committed to Equality

Expected salary

Location

London

Job date

Mon, 30 Dec 2024 23:27:41 GMT

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