Postdoctoral Research Assistant in Large Language Models and Financial Economics
Explore cutting-edge applications of large language models in financial economics at Oxford-Man Institute.
Best for:Best for postdoctoral researchers with a PhD in AI, machine learning, computer science, or related fields, specializing in LLMs, foundation models, and financial applications.
Overview
This postdoctoral position at the University of Oxford’s Oxford-Man Institute of Quantitative Finance (OMI) focuses on advancing research at the intersection of large language models (LLMs), artificial intelligence, and financial economics. The successful candidate will contribute to research projects, collaborate with partners, supervise students, and help secure further funding. The role emphasizes expertise in LLMs, foundation models, and their applications to economic and financial problems, with a strong emphasis on mechanistic interpretability and model evaluation. The position is fixed-term for up to three years and offers a vibrant research environment within a prestigious academic institution.
What you'll do
- Lead and coordinate research projects focused on large language models and their applications in financial economics.
- Develop and evaluate advanced AI models, particularly LLMs and foundation models, for economic and financial problems.
- Collaborate with project partners and guide students in research activities.
- Organize and participate in seminars, conferences, and workshops to advance research within the institute.
- Act as a formal co-supervisor for research students, if applicable.
- Contribute to securing additional funding to support ongoing and future research initiatives.
Requirements
Degree required: PhD or DPhil in Statistics, Computer Science, Machine Learning, Artificial Intelligence, Engineering, Mathematics, Operations Research, Economics, Finance, or a closely related field. Candidates near completion are also considered.
Language: English; proficiency required for academic research and collaboration.
Instruction: English
- Strong expertise in large language models (LLMs) or foundation models.
- Proficiency in deep learning, NLP, and mechanistic interpretability of LLMs.
- Experience in model evaluation and related AI methods.
- Ability to lead and coordinate research projects independently.
- Open to all nationalities.
- No specific residency or age restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-11-19 (Europe/London)
Applicants must submit a statement detailing how they meet the selection criteria, a curriculum vitae, a publications list, and the contact details of two referees. Referees must send their letters directly to hr@stats.ox.ac.uk by the deadline, quoting the vacancy reference 188853.
- Statement on meeting selection criteria
- Curriculum Vitae (CV)
- Publications list
- Contact details of two referees
Contact
HR Officer· HR Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.