Lecturer (R&E) in Computer Science and AI Ref 5598

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).
Contract: Permanent 
Reference: 5598
Salary
Grade 7 starting at £33,797 to £40,322 per annum, pro rata if part time
Grade 8 starting at £41,526 rising to £49,553 per annum, pro rata if part time.
Placed on: 10 June 2021
Closing date: 8 July 2021.  Applications must be received by midnight of the closing date.
Expected start date: 1 September 2021


Job description

The School of Engineering and Informatics at the University of Sussex is appointing three new academic staff members in Computer Science and Artificial intelligence as part of a strategy to grow and complement the current strengths in the Department of Informatics.

This post is one of the three new positions created. 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 have research interests in one or more of the following areas: machine learning, ethical AI, computational Neuroscience, complexity science, consciousness science and bio-inspired AI and robotic control. They should be able to teach general subjects in Computer Science and Artificial Intelligence at Undergraduate and Taught Postgraduate levels. They will work within the Artificial Intelligence Research Group, including opportunities to interact with the robotics group in the Department of Engineering.

The AI Research Group at the University of Sussex 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.

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.

Download job description and person specification Ref 5598 [PDF 265.51KB]

Visa Sponsorship Queries:
If you require visa sponsorship from the University of Sussex to undertake this role, you can find further information on our Visa page or contact HRCompliance@sussex.ac.uk to discuss your personal circumstances and whether you meet the criteria.


How to apply

Download our academic application form [DOC 199.50KB] and Personal details and equal opportunities form [DOC 110.00KB] and fill in all sections.

Email your completed application, and personal details and equal opportunities form, to enginfrecruitment@sussex.ac.uk  

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.


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