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Reader in Artificial Intelligence

University of Wolverhampton - Faculty of Science and Engineering

Location: Wolverhampton
Salary: £56,048 to £64,946 pa
Hours: Full Time
Contract Type: Permanent
Placed On: 14th March 2024
Closes: 26th April 2024
Job Ref: 14066

Artificial Intelligence is a strategic growth area for University of Wolverhampton, and we are seeking to appoint an exceptional and ambitious individual to join our team as a Reader in Artificial Intelligence. The School of Engineering, Computing and Mathematical Sciences is a large interdisciplinary centre for education, research, and enterprise. We are looking for an experienced researcher to help lead, drive, and advance our research and knowledge exchange activities in Artificial Intelligence.

You will be expected to boost the already successful research carried out by the school. You will be expected to produce REF-returnable outputs, attract external income, seek industrial collaborations, undertake some teaching, and supervise PhD students. You will hold a PhD (or equivalent) in a field related to computer science or related field and will have carried out extensive research in the area of artificial intelligence at a university, research institute or in a related part of the private sector in the UK or abroad. You will be proficient in a range of subject-specific skills and ideally will have extensive experience in site-based research settings. You will be able to demonstrate the ability to work independently to develop new research objectives and proposals including contributing to the securing of external funding and collaborative projects.

You should have evidence of an individual track record in research which is at the cutting edge of the relevant fields and is recognised internationally (e.g., through publications in journals). You should have a track record of having successfully obtained funding from external sources and successfully completed projects.

For an informal discussion about the above post please contact Professor Tracy Warr, Associate Dean Research and Knowledge Exchange (t.warr@wlv.ac.uk).

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