Location: | St Andrews |
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Salary: | £58,596 to £65,814 per annum |
Hours: | Full Time |
Contract Type: | Permanent |
Placed On: | 17th October 2024 |
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Closes: | 11th November 2024 |
Job Ref: | 440156 |
Start Date: As soon as possible
The School of Computer Science is looking to recruit a Reader in Machine Learning as part of a large on-going expansion of our academic staff and to support our evolving approach to digital teaching. We wish to appoint a Reader to join our vibrant teaching and research community, which is ranked among the top venues for Computer Science education and research worldwide.
The School develops deep science and technology across the discipline of computer science, which informs and underpins our teaching at undergraduate, masters, and doctoral levels.
We are seeking collegial individuals who value teaching and research excellence to support the expansion and development of our Artificial Intelligence research theme. The right candidate will be able to contribute to research in Machine Learning and teaching across the Computer Science curriculum.
You should hold a PhD in a cognate discipline. Excellent teaching skills and an interest in promoting knowledge exchange are essential. You should also have some familiarity with grant seeking processes in relation to research councils and other sources.
Employees of the University have access to a wide range of staff benefits including:
Informal enquiries can be directed to Professor Ian Miguel hos-cs@st-andrews.ac.uk or Professor Susmit Sarker dor-cs@st-andrews.ac.uk
The University of St Andrews is committed to promoting equality of opportunity for all, which is further demonstrated through its working on the Gender and Race Equality Charters and being awarded the Athena SWAN award for women in science, HR Excellence in Research Award and the LGBT Charter.
The University of St Andrews School of Computer Science was awarded the Athena SWAN Silver award for its sustained progression in advancing equality and representation. The School particularly welcomes applications from those suitably qualified from all genders, all races, ethnicities and nationalities, LGBT+, all or no religion, all social class backgrounds, and all family structures. The School values equality and diversity across its workforce and offers a family friendly and supportive environment in which flexible working is supported; we strive to hold important meetings/seminars within core hours of 09.30 to 16.30. In addition, a broad variety of measures are currently being introduced to ensure effective career progression for everyone and to eradicate the historical lack of diversity at higher levels.
Interview Date: 10 December 2024
Closing Date: 11 November 2024
Please Quote ref: AC2572LS
Further Particulars: AC2572LS.docx
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