Lecturer (Assistant Professor)/ Senior Lecturer/ Reader (Associate Professor) in Machine Learning & Data Science

University of Bath - Computer Science

Salary: Starting from £39,992, rising to £47,722 (Lecturer) or £49,149, rising to £56,950 (Senior Lecturer / Reader)
Interview Date: To be confirmed
Start of post: Early-mid 2018

The Department of Computer Science at the University of Bath is seeking academics with internationally leading expertise in probabilistic machine learning and data science. Candidates must have an excellent track record and outstanding potential to lead research, funding bids and teaching. We wish to appoint two people as Lecturer (Assistant Professor) or Senior Lecturer/Reader (Associate Professor) with corresponding salary range as appropriate to the successful candidates.

These appointments are part of a strategic drive to strengthen and integrate our core research themes. Key strengths include machine learning, data science, artificial intelligence, computer vision, image and video analysis. The post holders will be expected to extend our core strengths and to create effective collaborations with colleagues across the Department’s research groups: Intelligent Systems, Visual Computing, Human-Computer Interaction and Mathematical Foundations.

Across the University, there are exciting opportunities for interdisciplinary research and teaching collaborations. For example, the Department of Computer Science collaborates with the Bath Institute for Mathematical Innovation (IMI) and the Department of Mathematical Sciences on our MSc Data Science. We also work closely with the Department of Electronic & Electrical Engineering on our new MSc Machine Learning & Autonomous Systems.

The post holders will contribute to teaching and must have a continuing commitment to maintaining the University’s high standards in teaching and learning, with the ability to educate and inspire some of the brightest students in the country. The post holders are likely to support in particular the MSc Data Science and MSc Machine Learning & Autonomous Systems. Topics include the theory and practice of data science and specialisation in probabilistic machine learning and related technologies.

In research, the Department of Computer Science collaborates with the Department for Health in the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA). Other opportunities for interdisciplinary collaboration include the Bath Astrophysics Group, e.g. supporting the new Square Kilometer Array; the Institute for Policy Research (IPR) with direct links to policy advice for Government, e.g. the “datafication and democracy” project; and the Milner Centre for Evolution, e.g. applications of machine learning to gene regulatory networks. The IMI also supports a range of industrial engagements via researchers, secondments and funding.

The post holders are expected to engage with and extend our national and international collaborations with both academia and industry. External collaborators include UCL, Cardiff, Oxford, Cambridge, Tsinghua, Zhejiang, São Paulo, the Office for National Statistics, the NHS, The Imaginarium, J.P.Morgan, the BBC and many others.

Applicants are expected to hold a PhD and to have an international reputation for excellent publications, backed up by appropriate research funding and activity. The successful applicants will be expected to carry out and supervise research in line with targets set by the Department and to obtain significant research funding from external sources. The post holders will also be expected to contribute to the administration, leadership and management of the Department’s activities commensurate with the level of the appointment.

In addition to a full CV, applicants must provide research and teaching statements of up to 3 pages each. The research statement should outline plans for research activity and grant capture over the next five years and the fit with existing research in the Department. The teaching statement should detail areas of teaching expertise and indicate specific relevance to the Department’s programmes.

Prior to drawing up a shortlist, potential candidates may be invited to visit the Department to meet staff and give a presentation on their research and teaching interests. If appropriate, this will be by Skype for international applicants.

The Department and the University are committed to providing a supportive and inclusive working environment. We are working to improve the gender balance within the Department and particularly welcome applications from women.

For informal discussion about the roles, please contact Prof Eamonn O’Neill, E.ONeill@bath.ac.uk, +44 (0)1225 383216 or Prof Mike Tipping, M.Tipping@bath.ac.uk, +44 (0)1225 386964.