Reader in Machine Learning - AC2572LS

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:

• Annual leave of 34 days, plus 5 public holidays
• Financial contribution to relocation
• Membership of the USS Pension Scheme with generous employer contributions
• A hybrid working environment, including partial homeworking where appropriate and a range of family friendly policies
• Staff discount scheme for local and national goods and services
• Free staff parking, employee Carshare and Cycle to Work Schemes and subsidised local bus travel
• Subsidised sports membership, reduced tuition fees on degree programmes for staff/children of staff, access to library facilities, salary sacrifice scheme and a range of wellbeing initiatives
• A range of wellbeing initiatives including membership of Peppy, a health application that connects staff to expert practitioners and personalized support on health matters

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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