Research Associate/Fellow in Safety and Security of AI

University of York; York; On-site; GBP 35,000 - 45,000; Full time

Job summary

The University of York is looking for candidates to join the Centre for Assuring Autonomy, focusing on research at the intersection of AI, safety, and security. This role suits individuals with a PhD and an interest in shaping AI's adoption across industries like automotive and healthcare. The successful applicant will contribute to multidisciplinary research and may lead small-scale projects, enhancing their expertise in this crucial field.

Qualifications

• PhD with a focus on safety or security of ML models required.
• Postdoctoral experience for Research Fellow role is essential.
• Ability to write up research for publication.

Responsibilities

• Develop expertise in AI and autonomy topics.
• Build links with industry across various sectors.
• Lead small-scale research projects as needed.

Skills

Independent research

Collaborative research

Communication skills

Teamwork

Education

PhD in AI/ML

First degree in computer science or cognate discipline

Job description

Department

A great opportunity to join theCentre for Assuring Autonomy(CfAA), part of theDept of Computer Science, working on the intersection of AI, safety and security. This would be of interest to someone with a PhD or equivalent experience in any one of the three fields – and interests in the other two. The CfAA is working on the assurance and regulation of autonomy and AI, with a research team of around 70 academics, postgraduate researchers and PhD students researching many topics, e.g. explainability, human factors and system safety.

Role

This post will suit someone interested in developing expertise in an important topic which will shape the successful adoption of AI and autonomy, and who is keen to build links with industry across a range of sectors, including automotive, healthcare and maritime. For informal enquiries, please contact Prof John McDermid, CfAA Director, ([e-mail]).

Skills, Experience & Qualification needed

• Successful applicants will have a first degree in computer science or a cognate discipline, and have completed a PhD on AI/ML, ideally with a focus on safety or security of ML models.
• Experience of carrying out both independent and collaborative research.
• Willingness and ability to work as part of a multidisciplinary team.
• Good communication skills including the ability to write up research for publication.
• In addition, for the Research Fellow role the successful applicant will have postdoctoral experience and the ability to lead small-scale research projects.

Interview date:w/c 4^thor 11^thAugust 2025

For informal enquiries:please contact Prof John A McDermid [e-mail]