National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Research Associate

The University of Edinburgh
Midlothian
9 months ago
Applications closed

Related Jobs

View all jobs

Research Associate in Soft Robotics and Machine Learning (KK12496R) - Bath, BA2 7AY

Research Associate in Statistics / Epidemiology/ Health Data Science

Research Associate in Machine Learning and Information Theory

Research Associate in AI and Data Science (Fixed term for 2 years)

Research Associate in Artificial Intelligence Powered Framework for OnLine Production Scheduling

Research Associate in Optimization and Machine Learning

Grade UE07: £39,347 - £46,974 per annum

School of Informatics / Science and Engineering

Full time: 35 hours per week

Fixed Term: For 24 months

The School of Informatics, University of Edinburgh invites applications for Research Fellow in NLP and large language model-based financial asset management and decision support systems.

The Opportunity:

A post-doctoral fellow on AI, NLP and financial computing will be recruited for 24 months for assisting with the execution of the project. The candidate 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 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.

Your skills and attributes for success: 

Essential:

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. Strong software (e.g. Python, Pytorch and relevant GitHub packages) and experiment testbed development experience (e.g. benchmarking NLP/ML models, using ChatGPT for document analysis, financial asset price forecasting). The candidate shall have experience in benchmarking and software implementation prototype. Effective written and oral communication skills in a range of contexts (e.g. research presentations and publications). Experience of contributing to co-supervise UG/MSc students as well as in more specialist areas of AI/NLP and Financial Computing. Experience of engaging with a range of wider communities such as financial industry sectors, asset management firms and wider research/industry communities.

Desirable:

Proficiency in Linux, physics simulators (Gazebo), ROS1/ROS2. Experience in application of foundation models in computer vision. Background in Soft/Flexible Robotics 
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.