Research Assistant

The University of Edinburgh - School of Informatics

Full-time: 35 hours per week

Open-ended (permanent)/Fixed term: 31 August 2026

The project is looking to recruit research assistant(s) familiar in AI, NLP and financial computing to assist with the execution of the project. The candidate(s) will undertake original research in AI-driven Financial Computing, within the School of Informatics in collaboration with School of Mathematics and the Centre for Investment Innovation.

The Opportunity:

The project RA improves a deeper understanding of potential risks/uncertainties to which firm-based - risk factors are measured, hence unlocking the potential for significant improvements in the fields of finance investment management, and decision-making. The project will also aim to provide suitable benchmarking methods to evaluate our proposed AI/NLP/LLM models against commonly used and state-of-the-art AI models as well as evaluation metrics.

This post(s) is advertised as full-time/part-time (35 hours per week); however, we are open to considering part-time or flexible working patterns.

The salary for this post is £34,610 to £39,906 per annum.

Your skills and attributes for success:

• PhD and experience in Finance. AI/NLP Large Language Models (GPT) or Quantitative Finance/Financial Computing background(e.g. ChatGPT for asset risk management).
• Candidates who are close to completing their PhD, and who otherwise meet the selection criteria, will be considered.
• Proven experience of undertaking original research with a strong focus on financial asset management, portfolios or price forecasting.
• Proven experience of work with industry collaborators, particularly related to finance sectors.
• A track record of first author and/or collaborative publications in high quality journals and international conferences (Finance, AI, NLP related publications).
• Strong relevant research skills in running large scale NLP models (e.g. BERT, GPT) for financial text analysis. The candidate shall have strong research skills of using LLM-based models for firms financial Information summary

Apply Before: 27/11/2025, 23:59