Senior Lecturer / Lecturer in Financial Mathematics ( T& R)

About us

The School is part of the Faculty of Science and Engineering, which comprises of five schools and two institutes. The Faculty’s student population has grown in recent years, both within the UK and overseas, and its research profile has strengthened considerably.

The School has large and popular undergraduate and graduate programmes and aims to continue to expand its research profile as well as its study programmes across both UG and PGT. This position will be based in the Centre for Data Science, Statistics and Probability.

The School comprises 85 academic staff and associate lecturers, 16 research assistants and 14 members of professional services staff. The School is home to around 80 PhD students, and approximately 1,000 undergraduates and 100 master level students.

About the role

Applications are invited for a Lectureship in Financial Mathematics.  We are seeking to appoint an outstanding candidate in an area of Financial Mathematics, or in an area of Applied/Computational Mathematics that has a strong interdisciplinary link with finance. 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 develop a research platform within the School or to contribute to an existing one.

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 financial mathematics and mathematics in general at undergraduate and postgraduate level.

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

Equality, Diversity and Inclusion

The School holds a departmental Bronze Athena SWAN Award and is a registered supporter of the LMS Good Practice scheme. Visit www.qmul.ac.uk/maths for information about us and our family friendly policies and parental leave.

Pay & Benefits

We offer access to a generous pension scheme, 30 days’ leave per annum, a season ticket loan scheme, staff networks and access to a comprehensive range of personal and professional development opportunities. Additionally, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.

The post is full-time and permanent with an expected start date of 1 September 2024 or as soon as possible thereafter.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly. We particularly welcome applications from people who identify as Black, Asian or Other Minority Ethnic groups as these groups are underrepresented at this level at Queen Mary.

Informal enquiries may be made to Dr Silvia Liverani, Head of Centre for Probability, Statistics and Data Science at s.liverani@qmul.ac.uk or Professor Boris Khoruzhenko, Head of School, at b.khoruzhenko@qmul.ac.uk.

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