Lecturer in Computer Science and AI Posts Ref 8060
School/department: Engineering and Informatics/Informatics
Hours: full time or part time hours considered up to a maximum of 1.0 FTE
Requests for flexible working options will be considered (subject to business need).
Salary: Grade 8 starting at £43,414, rising to £51,805 per annum, pro rata if part-time.
Placed on: 30 August 2022
Closing date: 11 October 2022. Applications must be received by midnight of the closing date.
Expected Interview date: TBC
Expected start date: TBC
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 Lecturer in Computer Science and AI to work in the Department of Informatics. This position is equivalent to Assistant Professor.
The successful candidate will undertake research and teaching within the department. They will be associated with one of the research groups (Artificial Intelligence, Creative Technology, Foundations of Software Systems) and expected to teach at undergraduate and postgraduate levels.
Applications should be accompanied by a full CV, and statements of future research plans and ways in which the applicant could contribute to teaching across the School.
Please contact Dr 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.
Please note that this position may be subject to ATAS clearance if you require visa sponsorship.
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.
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 and meets the salary requirements for Skilled Worker Sponsorship if full time. Please consult our Skilled Worker Visa information page for further information about Visa Sponsorship."
How to apply
Download our academic application form [DOC 199.50KB] and Personal Details and Equal Opportunities Form [DOC 119.50KB] and fill in all sections.
Email your completed application, and personal details and equal opportunities form, to firstname.lastname@example.org
You should attach your application form and all documents to the email in PDF format (we are unable to accept applications as google.docs or .pages) and use the format job reference number / job title / your name in the subject line.
You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.