Senior / Research Associate, AI for Physical Systems

The Alan Turing Institute; England; On-site; GBP 46,000 - 58,000; Full time

Benefits offered by this job

Flexible working

Family friendly policies

Employee benefits guide

Job summary

The Alan Turing Institute in London seeks a Senior Research Associate or Research Associate to conduct internationally leading research within the Fundamental Research priority area. The role collaborates within a multidisciplinary team and with external partners to advance a bold research programme.

The successful candidate will have a PhD, strong ML expertise (probabilistic/generative modelling, neural operators, uncertainty quantification) and excellent communication, with a track record of

Qualifications

• PhD (or equivalent) in a field relevant to the role.
• Experience developing software codes, ideally for GPU frameworks.
• Strong background in statistical and/or scientific machine learning.
• Excellent written and verbal communication with high‑quality publications.

Responsibilities

• Publish and disseminate high‑quality research papers and case studies.
• Present research outputs to diverse stakeholders at conferences and events.
• Promote reproducible and ethical data science practices and data security.
• Undertake high‑quality research supporting AI for Physical Systems goals.
• Engage with stakeholders to enable deployment of research outcomes.

Skills

Python

GPU frameworks

Statistical ML

Communication

Education

PhD or equivalent

Job description

The primary purpose of the role is to conduct internationally leading research, and the postholder will be part of the Institute’s Fundamental Research (FR) 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.

ABOUT YOU

This ideal candidate will hold a PHD (or equivalent experience/qualifications) 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.

The successful candidate will take the initiative in their independent research while working effectively as part of the collaborative team. They will contribute to a positive culture and have a genuine commitment to EDI principles and the values the organisation stands for.

HOW YOU WILL MAKE AN IMPACT

• Publish and disseminate high-quality research papers and publications detailing research outputs and project case-studies.
• Communicate or present research outputs to diverse stakeholders, through conferences, events, meetings, and press opportunities as appropriate.
• 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, producing and developing reports, and developing publications in peer reviewed journals, in collaboration with the research team.
• Lead on the preparation of proposals and applications to external bodies, e.g., for funding and contractual purposes.
• Manage and/or provide leadership and mentorship of junior team members

Please see our portal for a full breakdown of the role.

Closing date for applications: Sunday 13 September 2026

at 23:59 (London, UK BST)

We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received.

Term and Conditions

The annual salary range is £45,505 - £51,465 for Research Associate level and £57,000 - £58,482 for Senior Research Associate level plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide | The Alan Turing Institute

The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.

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.

We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at [e-mail] to tell us how we can assist you.