Research Fellow in Reliable AI Alignment

About the role

The position entails the development of algorithms, theoretical frameworks, and code for aligning large language models through Reinforcement Learning from Human Feedback (RLHF). This role demands expertise in leveraging recent advancements in active learning, robust optimization, and uncertainty quantification techniques. The successful candidate will collaborate closely with a team consisting of PhD students and Research Assistants (RAs).

Main duties:

To develop novel RLHF algorithms and methods with a focus on reliability, safety, and alignment (, to diverse user groups). To lead the drafting and submitting of papers to machine learning and AI conferences and journals. Presenting the research at international conferences and project meetings. To contribute to the preparation and drafting of research bids and proposals.

The post is available from January for 18 months in the first instance. Further funding to support the post may be available. The salary available is Grade - 33 (£42, - £45, per annum, inclusive of London Allowance).

About you

Applicants should have a PhD degree (or about to submit) in a relevant subject area, or similar experience demonstrated via publications in international journals / conferences or patents. Knowledge of Machine Learning, Reinforcement Learning, Large language models is required, as well as strong programming skills in Python/PyTorch/ JAX or other relevant languages. Experience of working with statistical tools and techniques is also essential.

Knowledge of Statistical Learning Theory and Decision Making under Uncertainty is desirable.

If the successful candidate has not yet been awarded their PhD, appointment will be made as a Research Assistant (Grade 6B). Payment at Grade 7 will be backdated to the date of final submission of the PhD thesis including corrections, once the PhD has been awarded. Research Assistant (Grade 6B): point 25-28. Salary range £37, to £39, (inc. London Allowance of £5, pa).

Application details:

To apply for the role, click the 'Apply Now' button at the bottom or top of the page Applications close on 19th September at 23:59 A job description and person specification can be accessed at the bottom of this page Informal enquiries regarding this post can be addressed to Dr Ilija Bogunovic . For questions regarding the application process please contact Rebecca Thomas at .

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:

41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) Additional 5 days’ annual leave purchase scheme Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance