Postgraduate Research Associate in AI Surrogate Models for Forward Stratigraphic Modelling

About the Role
We are looking for a highly motivated post-doctoral research associate (PDRA) to join the research group of Professor Cédric John. You will be a key member of the John Lab at DERI, 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.

Broadly speaking, 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 You
You 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 Apply
Please submit an application via the Queen Mary Portal (accessed by the 'Apply' button) and upload a copy of your CV.

Please do not upload copies of research papers.

About the Institute
The 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 Mary
At Queen Mary University of London, 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, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Benefits
We 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.

Valuing Diversity & Committed to Equality

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