Fully funded Research Assistant Physics & Astronomy United Kingdom

Research Associate for AI and Nuclear Engineering Modelling

Imperial College London, United Kingdom

Institution
Imperial College London
Country
United Kingdom
Position type
Research Assistant
Subject area
Physics & Astronomy
Salary
GBP 50733.00–59484.00 YEAR
Location
London, England, United Kingdom
Funding
Fully funded position

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About this position

About the role:

Could your expertise in computational modelling, neutronics or AI methods help design and manage the nuclear reactors of tomorrow as a Research Associate in Applied Nuclear Computation? Working within Imperial, London's world-leading Applied Modelling & Computation Group (AMCG), you will apply advanced numerical, physics-based and data-driven methods to one or two exciting and complementary projects: an industry-funded digital engineering platform focused on the design and optimisation of a novel thorium reactor, and a UKRI-backed agentic digital ecosystem supporting the full lifecycle of next-generation High-Temperature Gas-Cooled Reactors (HTGRs).

What you would be doing:

As a Research Associate in the AMCG, you will contribute to internationally leading research, taking the initiative in planning and executing your own scientific work to contribute to the broader goals of two cutting-edge nuclear projects.

You will develop and apply advanced computational, numerical and physics-based methods, ensuring the validity and reliability of your data and maintaining meticulous records of your findings throughout. Your work will span the full research cycle — from identifying and developing appropriate techniques for data collection and analysis, to writing reports for research sponsors, submitting publications to high-quality refereed journals, and presenting your findings at national and international conferences.

Collaboration will be at the heart of your role, as you build and maintain relationships with allied researchers both within Imperial and across the wider international community, contributing to grant bids and actively participating in group meetings and seminars. In everything you do, you will be expected to uphold the highest standards of research integrity, safety and professionalism, promoting the reputation of the AMCG, the Department and Imperial as a whole.

What we are looking for:

With up to three posts available, we welcome applicants from a broad range of disciplines — including applied mathematical modelling, computational mathematics, reactor physics and AI — who are eager to bring their technical expertise to one of the most important clean energy challenges of our time. In particular, you will have:

  • A strong computational and numerical foundation — you hold a PhD (or have equivalent experience) in Applied Mathematics, Physics, Nuclear Engineering or a closely related computational discipline, (Note: Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.)
  • Scientific programming proficiency
  • Familiarity with reactor physics methods and tools 
  • An interest in or exposure to AI and data-driven modelling 
  • A track record of research delivery and communication 
  • A proactive, collaborative and organised approach to work 

What we can offer you:

  • The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
  • Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.
  • Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further Information

This is a full-time post (35 hours per week).

This role is for a fixed-term contract for up to 33 months.

If you require any further details about the role, please contact: Chris Pain - c.pain@imperial.ac.uk

To apply please visit Jobs | Imperial College London and search for reference number ENG04068

Closing date: 17th November 2026

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