Professor of Statistics or Data Analytics, University of Leeds, UK
Are you looking to work at a world-class University in a School with a strong research ethos? Do you have a high international reputation, and would you like to work in a collegial environment shaping your academic field?

As a full Professor, you will enhance the reputation of the University, having a sustained record of outstanding output and demonstrable high-level impact. You will provide leadership in the Department of Statistics and the School of Mathematics, and will make a significant and influential contribution to the achievement of the University’s strategic goals. This role is part of a strategic investment by the University in the areas of statistics and data science with five appointments recently made and a further two to be advertised separately.

You will have a PhD in a relevant discipline with experience of leading research programmes which meet international standards of academic excellence and integrating this research into learning and teaching. You will also have a track record of the delivery of ambitious and imaginative academic leadership, including effective team working and collaborative development. In addition, you will have experience of developing links and collaborating with research groups in the UK and internationally.

In joining the University of Leeds, you will become part of an internationally focussed University that provides all our students with an outstanding education and experience and at the same time undertakes cutting-edge research of high quality, impact and significance. The School of Mathematics delivers several very highly successful undergraduate and postgraduate programmes with many accredited by the Royal Statistical Society (RSS Accreditation) or the Institute and Faculty of Actuaries (IFoA Exemptions). The School is a founding member of the Leeds Institute for Data Analytics (LIDA), which is the home of two major centres for data intensive research: the MRC Centre for Medical Bioinformatics and the ESRC Consumer Data Research Centre, to maximise benefits for collaborative research and engagement within and outside the University. The University is also a partner of the Alan Turing Institute with several Turing Fellows within the School.

All University staff have access to high performance computing, such as the University’s (ARC) machines and remote services such as the White Rose Grid; the National Grid Service, the DiRAC consortium; and the N8 group of research intensive universities in the north of England (Polaris). Several other schools and research institutes, e.g. the Clinical Trial Research Unit (CTRL), the School of Earth and Environment (SEE), the Leeds Institute for Fluid Dynamics (LIFD) and the Priestley International Centre for Climate Change (PICC), provide significant opportunities for interdisciplinary collaboration and to develop research links with other external partners in business, government and the third sector through the University’s Research and Innovation Centre (NEXUS).

The School of Mathematics supports the London Mathematical Society Good Practice Scheme and offers a number of family-friendly employment practices that are designed to enable a good work-life balance. The Schools in the Faculty of Engineering and Physical Sciences are proud to have been awarded the Athena SWAN Silver Award from the Equality Challenge Unit, the national body that promotes equality in the higher education sector and we encourage applicants of different genders and ethnicity.

Full details: https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSMA1058

We are happy to discuss the post informally. To explore the post further, or for any queries, please contact:

Robert Aykroyd, Head of Statistics, Department of Statistics
Email: R.G.Aykroyd@leeds.ac.uk

Kurt Langfeld, Head of School, School of Mathematics
Email: K.Langfeld@leeds.ac.uk

We are looking forward to receiving your application.