Postdoctoral Research Assistant in Quantitative Finance

Reporting to the Director of the OMI, the post-holder will help ensure a healthy and vibrant research environment within the Institute. This will involve leading, devising, coordinating, and contributing to research projects involving LLMs and related AI systems, including collaborations with project partners, guidance to students, participation in and organisation of seminars and conferences, and development of further research funding. If appropriate, the role may involve acting as a formal co-supervisor for research students.

The post holders will hold a relevant PhD/DPhil, or be near completion, in Statistics, Computer Science, Machine Learning, Artificial Intelligence, Engineering, Mathematics, Operations Research, Economics, Finance, or a closely related subject. Preference will be given to candidates with strong expertise in large language models, foundation models, or modern AI systems and they will possess sufficient specialist knowledge of LLMs, foundation models, deep learning, NLP, mechanistic interpretability, model evaluation, or related AI methods to work within established and emerging research programmes. Research expertise in mechanistic interpretability of LLMs or foundation models is a desirable.