Professor of Statistical Science - a vacancy
Professor of Statistical Science
REF: 3526
The School of Mathematics & Statistics hosts a large and growing Statistics group which carries out research of international quality across a wide range of topics and has many strong interdisciplinary collaborations. There is a full undergraduate degree programme in Statistics, multiple MSc programmes, and a large group of research students. Applications are invited for a Professor of Statistical Science to lead research and further development in the subject.
The successful applicant will be an outstanding internationally-leading researcher in statistics, able to undertake national and international leadership roles, with a strong record of applying for and securing research funding and high impact publications in internationally recognised journals.
Salary will be commensurate with the appointee’s accomplishments and potential. Informal enquiries may be directed to the Head of School, Professor Adrian Bowman on: 0141 330 4046 and hos@maths-stats.gla.ac.uk; or to the University’s appointed advisors, Perrett Laver: online at https://candidates.perrettlaver.com/vacancies/, quoting reference number 3526, or by contacting Daniel Mullen at Daniel.mullen@perrettlaver.com or via 020 7340 6263.
For further details, including job description, person specification and information on how to apply, please visit https://candidates.perrettlaver.com/vacancies/, quoting reference 3526. The deadline for applications for this position is Monday 18th June. The appointment panel will convene following this to decide upon a shortlist. Shortlisted candidates will subsequently be invited to participate in informal discussions during July. Formal interviews will be held thereafter.
The University of Glasgow is a world top-100 University and member of the prestigious Russell Group of leading UK research-intensive universities.
The University is committed to equality of opportunity in employment. Applications are particularly welcome from women and other under-represented groups.