About the role
The position involves developing algorithms, theoretical frameworks, and code to enhance the reasoning capabilities of large language models (LLMs). The successful candidate will work closely with a team of PhD students to drive this research forward.
Main duties:
Develop novel post-training algorithms and methods for enhancing the reasoning capabilities of large language models (LLMs), with a focus on reliability, safety, and alignment. Lead the drafting and submission of research papers to leading machine learning and AI conferences and journals.
The post is available for 8 months in the first instance. Further funding to support the post may be available. The salary available is Grade , £38, to £41, per annum, inclusive of London Allowance.
About you
Applicants should have a strong (first or upper second class) undergraduate degree in Electronic Engineering, Computer Science, Statistics, or Mathematics. 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. Effective written and verbal communication skills are essential. Experience of working with machine learning tools and techniques is desirable.
Application details:
To apply for the role, click the 'Apply Now' button at the bottom or top of the page Applications close on 7th February 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
