Human Resources

Lecturer in Statistics - QMUL10320

Department: School of Mathematical Sciences
Salary: £40,182 - £50,030 per annum
Reference: QMUL10320
Date posted: 08-Dec-2016
Closing date: 05-Feb-2017

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About us

Queen Mary is one of London and the UK’s leading research-focused universities. With over 20,000 students, it is amongst the largest of the colleges of the University of London. Queen Mary’s 4,000 staff teach and research across a wide range of subjects in Science and Engineering, the Humanities, Social Sciences and Laws, and Medicine and Dentistry.

The School of Mathematical Science has an exceptionally strong research presence across the spectrum of areas within Pure and Applied Mathematics, and is currently organised into seven research groups, namely: Algebra, Combinatorics, Complex Systems and Networks, Dynamical Systems and Statistical Physics, Geometry and Analysis and Probability and Applications. The School also has large and popular undergraduate and graduate programmes. In the area of Financial Mathematics the School offers MSci in Financial Mathematics, MSc in Financial Computing (jointly with the School of Electronic Engineering and Computer Science) and MSc in Mathematical Finance (jointly with the School of Economics and Finance)

The School is entering an exciting period of strategic growth with significant investment in new posts over the next three years across a broad range of disciplines. In addition to academic appointments, approximately £20M is being invested in the School’s building to provide state-of-the-art research, teaching and study facilities for staff and students.

About the role

Applications are invited for a Lectureship in Statistics. Currently, statistics is based within the Probability and Applications group.  The new post, together with a separate Lectureship in Statistical Machine Learning, is intended to strengthen and diversify the profile of Statistics in the School. We are seeking to appoint an excellent candidate in any area of modern Statistical Science. Applicants whose work has had a significant impact outside of the university environment are particularly encouraged to apply. 

A successful applicant will have demonstrated exceptional potential for achieving research excellence. He or she will be expected to contribute to the development of the statistics group within the School, and be alert to potential collaboration with research groups in other schools and faculties.

Candidates should also have a strong interest in pursuing excellence in teaching and supervising graduate students, as well as the ability and flexibility to teach across a range of topics in statistics and probability, and mathematics more generally.

For further details of the role and selection criteria please refer to the job specifications attached.

The School and Athena SWAN Charter for Women in Science

The School holds a departmental Bronze Athena SWAN Award and is a registered supporter of the LMS Good Practice scheme. We are committed to the equality of opportunities and to advancing women’s careers. We have policies to support staff returning from long-term absence, for flexible arrangements for staff with parental responsibilities and for child-care support for the attendance of conferences. As part of the School’s commitment to the Athena SWAN and the LMS Good Practice principles we strongly encourage applications from women.

Please visit for information about the School and for our family friendly policies and parental leave.

Pay & Benefits

The post is full-time and permanent. Starting salary will be in the range £40,182 - £50,030, inclusive of London Allowance. Benefits include 30 days annual leave, childcare vouchers scheme, defined benefit pension scheme and interest free season ticket loan. The successful candidate will be expected to start the post on 1 August 2017, or as soon as possible thereafter.

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.

Informal enquiries may be made to Professor Boris Khoruzhenko at

Please ensure you include with your application a curriculum vitae, a teaching statement and a research statement explaining your fit with this advertised role.

The closing date for applications is Sunday 5 February 2017.

Interviews are expected to be held on 14 March 2017.

Valuing Diversity & Committed to Equality


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