Research Professor in Informatics Ref: 20114
School/department: Engineering and Informatics/Informatics
Hours: Part-time considered up to a maximum of 0.5 FTE . Requests for flexible working options will be considered (subject to business need).
Location: Brighton, United Kingdom
Contract: Permanent
Reference:
Salary: Competitive
Placed on: 02 June 2023
Closing date: 07 August 2023. Applications must be received by midnight of the closing date.
Expected interview date: 25 September 2023
Expected start date: As soo as possible
Job description
The School of Engineering and Informatics at the University of Sussex is appointing new academic staff in Computer Science and Artificial intelligence as part of a strategy to grow and complement the current strengths in the Department of Informatics.
We wish to appoint a Research Professor in Artificial Intelligence to work in the Department of Informatics and join our AI research group. The AI Research group was created through the merger of the Evolutionary and Adaptive Systems (EASy) and the Data Science groups. We conduct research and teach a wide range of AI related topics, often cross-disciplinary and with a unique Sussex angle. We collaborate internationally and locally with academics, businesses, and public stakeholders, working at the frontiers of knowledge, on solving real-world problems, and in policy and public outreach.
The successful candidate will undertake research within the department, they will be associated with the Artificial Intelligence research group and contribute to research leadership and research-led undergraduate and postgraduate courses.
Please contact Professor Ian Mackie I.Mackie@sussex.ac.uk, Head of the Department of Informatics, for informal enquiries.
The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.
The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.
You can find out more about our values and our EDI Strategy, Inclusive Sussex, on our webpages.
Download job description and person specification 20114 [PDF 243.72KB]
The University requires that work undertaken for the University is performed from the UK.
Visa Sponsorship Queries:
This role has been assigned an eligible SOC code however to meet the minimum salary requirement this is dependent on the salary you are offered and/or whether you are eligible for tradeable points. If you require visa sponsorship from the University of Sussex to undertake this role please consult our Skilled Worker Visa information page for further information. If you want further advice on sponsorship eligibility please contact HRCompliance@sussex.ac.uk
Please note that this position may be subject to ATAS clearance if you require visa sponsorship.
How to apply
If you wish to apply for the role, you should submit the following documents;
- A short, up to two-page, letter of application
- A full CV
- Statements of future research plans and ways in which you could contribute to teaching across the School
- A list of three referees you would be happy for us to contact should you be shortlisted for interview
Please also complete and submit our Personal Details and Equal Opportunities Form [DOCX 65.11KB]
Your application should be sent to: Emma Macfarlane (seniorrecruitment@sussex.ac.uk)
Download our terms and conditions summary for Teaching faculty [PDF 10.99KB]