Department: Computer Science Salary: 37,694 to 56,535 per year Grade: Grade 6/7 Contract status: Fixed term Hours of work: Full-time Based at: University of York campus Interview date: w/c 28th September Posted Date: 29/07/2026 Apply by: 09/09/2026 Job Reference: 15225 Documents 15225 Research Associate in Safe AI Systems.pdf (PDF, 405.04kb) 15225 Research Fellow in Safe AI Systems.pdf (PDF, 412.04kb) Role Description Department This role will give you the opportunity to help achieve the safe and responsible uptake of AI and Autonomous Systems (AI/AS) in application domains including automotive, healthcare, maritime and rail. You will be part of the Centre for Assuring Autonomy (CfAA) that pioneered approaches to assuring AI and autonomous systems. Role This role offers the opportunity to both accelerate the adoption of these core ideas and to further advance them. Building on our Guidance on the Safety Assurance of Autonomous Systems in Complex Environments (SACE), you will conduct research using a whole-systems approach to the design, analysis and assurance of AI/AS from engineering and sociotechnical viewpoints. A key focus area will be safety cases for AI/AS, specifically how they are developed and reviewed throughout their lifecycle. You will also have the opportunity to engage with PhD students from the UKRI AI Centre for Doctoral Training in Safe Artificial Intelligence Systems (SAINTS) through joint research projects, training activities and co-supervision. We are seeking researchers who can demonstrate the capacity to push the boundaries of safety science for AI/AS, rather than simply applying existing techniques. Skills, Experience & Qualification needed Grade 6 - Research Associate First degree in Computer Science, Engineering, Psychology or cognate discipline PhD, or in final stages thereof, in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience Knowledge of safety science and system safety, with the ability to conduct high-quality research Knowledge of AI and autonomous systems, specifically their design and/or use within safety-critical environments Ability to work as part of a diverse and multidisciplinary team Collaborative ethos Grade 7 - Research Fellow First degree in Computer Science, Engineering, Psychology or cognate discipline PhD in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience Knowledge of safety science and system safety, with the ability to conduct high-quality research Knowledge of AI and autonomous systems, specifically their design and/or use within safety-critical environments Ability to lead and/or take responsibility for a small research project or identified parts of a large project Ability to supervise the work of others, for example in research teams or projects Proven ability to attract and obtain external research funding Collaborative ethos Interview Interview date: w/c 28th September 2026 Informal Enquiries For informal enquiries: please contact Professor Ibrahim Habli on Ibrahim.Habli@york.ac.uk Equality, Diversity and Inclusion 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 As a Disability Confident employer, we will ensure that a fair and proportionate number of disabled applicants that meet the minimum (essential) criteria for each position will be offered an interview. Read more about the University of York’s commitments under the Disability Confident scheme. Disability Confident logo New Athena Swan Bronze Award If you apply for this position please say you saw it on Academicoxy

Department: Computer Science
Salary: 37,694 to 56,535 per year
Grade: Grade 6/7
Contract status: Fixed term
Hours of work: Full-time
Based at: University of York campus
Interview date: w/c 28th September
Posted Date: 29/07/2026
Apply by: 09/09/2026
Job Reference: 15225

Documents

15225 Research Associate in Safe AI Systems.pdf
(PDF, 405.04kb)
15225 Research Fellow in Safe AI Systems.pdf
(PDF, 412.04kb)

Role Description

Department

This role will give you the opportunity to help achieve the safe and responsible uptake of AI and Autonomous Systems (AI/AS) in application domains including automotive, healthcare, maritime and rail. You will be part of the Centre for Assuring Autonomy (CfAA) that pioneered approaches to assuring AI and autonomous systems.

Role

This role offers the opportunity to both accelerate the adoption of these core ideas and to further advance them. Building on our Guidance on the Safety Assurance of Autonomous Systems in Complex Environments (SACE), you will conduct research using a whole-systems approach to the design, analysis and assurance of AI/AS from engineering and sociotechnical viewpoints. A key focus area will be safety cases for AI/AS, specifically how they are developed and reviewed throughout their lifecycle. You will also have the opportunity to engage with PhD students from the UKRI AI Centre for Doctoral Training in Safe Artificial Intelligence Systems (SAINTS) through joint research projects, training activities and co-supervision.

We are seeking researchers who can demonstrate the capacity to push the boundaries of safety science for AI/AS, rather than simply applying existing techniques.

Skills, Experience & Qualification needed

Grade 6 - Research Associate

First degree in Computer Science, Engineering, Psychology or cognate discipline
PhD, or in final stages thereof, in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience
Knowledge of safety science and system safety, with the ability to conduct high-quality research
Knowledge of AI and autonomous systems, specifically their design and/or use within safety-critical environments
Ability to work as part of a diverse and multidisciplinary team
Collaborative ethos

Grade 7 - Research Fellow

First degree in Computer Science, Engineering, Psychology or cognate discipline
PhD in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience
Knowledge of safety science and system safety, with the ability to conduct high-quality research
Knowledge of AI and autonomous systems, specifically their design and/or use within safety-critical environments
Ability to lead and/or take responsibility for a small research project or identified parts of a large project
Ability to supervise the work of others, for example in research teams or projects
Proven ability to attract and obtain external research funding
Collaborative ethos

Interview

Interview date: w/c 28th September 2026

Informal Enquiries

For informal enquiries: please contact Professor Ibrahim Habli on Ibrahim.Habli@york.ac.uk

Equality, Diversity and Inclusion

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

As a Disability Confident employer, we will ensure that a fair and proportionate number of disabled applicants that meet the minimum (essential) criteria for each position will be offered an interview. Read more about the University of York’s commitments under the Disability Confident scheme.

Disability Confident logo

New Athena Swan Bronze Award

If you apply for this position please say you saw it on Academicoxy

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