University College London
Job title:
Research Fellow in Reliable AI Alignment
Company
University College London
Job description
About usAs part of our work in Machine Learning, the UCL Electronic and Electrical Engineering invites applications for one (1) postdoctoral research position in Reliable AI Alignment associated with an EPSRC New Investigator Award Project on “Robust and Efficient Algorithms for Model-based RL”. We propose a comprehensive research project aimed at addressing critical challenges in reinforcement learning from human feedback (RLHF; in the context of large language models) to ensure the development of reliable and robust artificial intelligence (AI) systems.The project will focus on proposing novel algorithms and methods, incorporating uncertainty estimates, expanding beyond binary reward feedback, and addressing different groups’ preferences. Additionally, we aim to develop both theoretical frameworks and software packages to support the practical implementation of these advancements.About the roleThe 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 (e.g., 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 2025 for 18 months in the first instance. Further funding to support the post may be available. The salary available is Grade 7.30 – 33 (£42,099 – £45,521 per annum, inclusive of London Allowance).About youApplicants 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 £37,332 to £39,980 (inc. London Allowance of £5,000 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 2024 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 offerAs 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
Visit to find out moreOur commitment to Equality, Diversity and InclusionAs London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.Available documents
Expected salary
£42099 – 45521 per year
Location
North West London
Job date
Sat, 07 Sep 2024 05:07:11 GMT
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