Research Fellow in Safe Reinforcement Learning
Applications are invited for a Research Fellow position within the School of Electronics and Computer Science at the University of Southampton, working on the EPSRC project of formal verification of reinforcement learning with architecture layer uncertainty. The work will involve mathematical modelling, formal method/reinforcement learning technique investigation and tool development. The results will be written up as project deliverables and publications.
- Have, or be expected to obtain, a PhD in computer science or a related field.
- Demonstrate potential for conducting impactful research and publishing in premier outlets.
We seek candidates whose research interests complement and deepen our existing strengths and expand into new and exciting areas. Candidates with a research focus on formal methods, reinforcement learning and optimization are strongly encouraged to apply.
Athena SWAN Silver Award recognised, we’re committed to improving equality for women in science and engineering, so we’ll help you find a good work-life balance with flexible or even part-time working hours, with a workload adjusted accordingly. ECS provides a unique, friendly and supportive environment. We have a range of staff development programmes and a unique mentoring and wellbeing scheme.
We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.
#J-18808-Ljbffr”, “datePosted”: “2026-05-15”, “hiringOrganization”: { “@type”: “Organization”, “name”: “University of South Hampton”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__432651605__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=493” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Southampton” } } }Research Fellow in Safe Reinforcement Learning
Applications are invited for a Research Fellow position within the School of Electronics and Computer Science at the University of Southampton, working on the EPSRC project of formal verification of reinforcement learning with architecture layer uncertainty. The work will involve mathematical modelling, formal method/reinforcement learning technique investigation and tool development. The results will be written up as project deliverables and publications.
- Have, or be expected to obtain, a PhD in computer science or a related field.
- Demonstrate potential for conducting impactful research and publishing in premier outlets.
We seek candidates whose research interests complement and deepen our existing strengths and expand into new and exciting areas. Candidates with a research focus on formal methods, reinforcement learning and optimization are strongly encouraged to apply.
Athena SWAN Silver Award recognised, we’re committed to improving equality for women in science and engineering, so we’ll help you find a good work-life balance with flexible or even part-time working hours, with a workload adjusted accordingly. ECS provides a unique, friendly and supportive environment. We have a range of staff development programmes and a unique mentoring and wellbeing scheme.
We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.
#J-18808-Ljbffr…