Research Associate on Optimisation and Learning for Decision

We are seeking a Research Associate to work on Optimisation and Learning Decision, who will be based in the Department of Computer Science at Oxford and reporting to Prof Alessandro Abate.
The successful candidate will regularly collaborate with researchers within OXCAV and you will be expected to communicate with members of OXCAV and Prof Abate.
The project will work on the broad area underpinned by AI, Learning, Formal Verification, and Control. The post holder will be a member of the OXCAV research group, with responsibility for carrying out research, to provide guidance to junior members of the research groups including research assistants, PhD students, and students on projects. The post holder will also have an opportunity to engage in teaching.

You should hold a PhD (or be close to completion) in computer science, mathematics or a related disciplines together with relevant research experience and possess sufficient specialist knowledge across relevant areas of the project.
Whilst the role is a Grade 7 position, we would be willing to consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be at Grade 6 (Grade 6: £34,982 - £40,855 p.a.) with a title of Research Assistant with the responsibilities adjusted accordingly. This would be discussed with applicants at interview/appointment where appropriate.
We would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department.