Senior / Research Associate, AI for Physical Systems

The Alan Turing Institute

Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.

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ROLE PURPOSE

The primary purpose of the role is to conduct internationally leading research, and the postholder will be part of the Institute’s Fundamental Research strategic priority area. The Senior / Research Associate will be part of a collaborative, multidisciplinary team of researchers and research engineers, and will be expected to engage with internal and external stakeholders and collaborators to support delivery of an ambitious research programme. The role will lead on and work closely with other researchers and team members on various Fundamental Research activities, and more broadly in support of other science and innovation priorities at the Turing.

HOW YOU WILL MAKE AN IMPACT

• Publish and disseminate high-quality research papers and publications.
• Communicate or present research outputs to diverse stakeholders.
• Adhere to and promote principles of reproducible and ethical data science and ensure secure handling of data and health and safety in all aspects of work.
• Undertake high-quality research, actively contributing to the research aims of the AI for Physical Systems mission and the broader Fundamental Research area.
• Engage with stakeholders to ensure that research outcomes can be deployed in the real world.

Additional duties for Senior Research Associate level

• Define the research direction in collaboration with Principal Investigators (PIs).
• Be a point of contact, supporting PIs in engaging with stakeholders
• Take the lead on writing up findings as they emerge.
• Lead on the preparation of proposals and applications to external bodies.
• Manage and/or provide leadership and mentorship of junior team members

ABOUT YOU

The ideal candidate will hold a PhD (or equivalent) in an area relevant to this role. They will have experience developing software codes, ideally for GPU frameworks, and have a proven ability to initiate, develop and deliver high quality research aligned with a mission. The successful candidate will have strong background in statistical and/or scientific machine learning with particular experience in either probabilistic or generative modelling, neural operators, surrogate modelling, uncertainty quantification for ML models, conformal prediction or the application of ML modelling to physical systems. They will have excellent written and verbal communication skills proven by high-quality publications in a relevant field, as well as the ability to present complex information to a variety of audiences.

Please see our portal for a full breakdown of the Job Description.

Terms and Conditions

This post is offered on a 2-year fixed-term basis. The annual salary range is £45,505 - £51,465 for Research Associate level / £57,000 - £58,482 for Senior level, including flexible working and family friendly policies, Employee-only benefits guide | The Alan Turing Institute

Equality Diversity and Inclusion

We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don’t meet every single requirement, please apply – we recognise that great candidates may bring strengths beyond the criteria listed.

To apply, please click the'Apply' button above.