Research Associate in Safe Large Language Models

University of York
March 11, 2025
Contact:N/A
Offerd Salary:£36,924 to £45,163
Location:N/A
Working address:N/A
Contract Type:fixed term until 31
Working Time:Full time
Working type:N/A
Ref info:N/A
Research Associate in Safe Large Language Models

Department

Computer Science

Salary

£36,924 to £45,163 per year

Grade

Grade 6

Contract status

Fixed term

Hours of work

Full-time

Based at

University of York campus

Interview date

20th March 2025

Posted Date

11/02/2025

Apply by

11/03/2025

Job Reference

13857

Documents

  • Job description 13857.pdf (PDF, 306.94kb)
  • Role Description Department

    You will join the Centre for Assuring Autonomy (CfAA), part of the Department of Computer Science at the University of York. The CfAA is building on the work of the Assuring Autonomy International Programme (AAIP) which pioneered approaches to assuring autonomous systems and their machine learning (ML) components. The CfAA also contributes to the assurance pillar of the Institute for Safe Autonomy (ISA). You will be based in the Institute for Safe Autonomy building.

    Role

    This role will give you the opportunity to help achieve the safe and responsible uptake of AI and specifically Large-Language Models (LLMs) in different application domains. A primary domain is healthcare where you will be working with the team at York, Ufonia and Moorfields Eye Hospital on safety of AI conversational agents in clinical applications.

    The role will have a strong research focus but will also offer the opportunity to work with industry and regulators in the UK and perhaps internationally. Further, the CfAA is a multi-disciplinary centre, offering you the opportunity to learn from others working in different disciplines. The role is fixed term until 31 July 2027.

    Skills, Experience & Qualification needed
  • PhD, or in final stages thereof, in Computer Science, Engineering, AI, Data Science or equivalent experience
  • Technical knowledge of AI, in particular applied Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Competency to utilising and evaluating production-ready LLM-based systems
  • Ability to learn safety analysis and assurance techniques
  • Experience of carrying out both independent and collaborative research.
  • Ability to work as part of a diverse and multidisciplinary team
  • Interview date : To be confirmed

    For informal enquiries : please contact Prof Ibrahim Habli - [email protected]

    The University strives to be diverse and inclusive – a place where we can ALL be ourselves.

    We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University.

    We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork

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