Research Associate in Safe and Human-Centred AI

University of York
October 21, 2024
Contact:N/A
Offerd Salary:£36,024 - £44,263
Location:N/A
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Contract Type:Other
Working Time:Full time
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Research Associate in Safe and Human-Centred AI

Department

Computer Science

Salary

£36,024 - £44,263 a year

Grade

Grade 6

Contract status

Fixed term

Hours of work

Full-time

Based at

University of York campus

Interview date

To be confirmed (Possibly w/c 4th November)

Posted Date

23/09/2024

Apply by

21/10/2024

Job Reference

13595

Documents

  • Job Description 13595.pdf (PDF, 305.1kb)
  • 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 both to accelerate take-up of the CfAA research, and to advance them, specifically to explore, develop and evaluate human-centred approaches for the design and safety assurance of AI systems, with healthcare as a priority sector.

    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.

    Skills, Experience & Qualification needed

  • PhD, or in final stages thereof, in Computer Science, Safety, Psychology, Human-Computer Interaction, Human Factors or equivalent experience
  • Experience of researching the use of AI in healthcare
  • Competency to conduct human factors studies
  • Experience of carrying out both independent and collaborative research
  • Experience of researching the use of AI in healthcare
  • Experience of researching safety-critical systems
  • Experience of developing safety cases and safety arguments
  • 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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