Lecturer or Senior Lecturer in Actuarial Science and Statistics, Department of Mathematics, University of Manchester
Lecturer or Senior Lecturer in Actuarial Science and Statistics
Department of Mathematics
University of Manchester, UK
Full job description:
Applications are invited for the above post, to start in January 2023 or
at a mutually agreed alternative date. We are looking for academics of
outstanding ability, who are seeking a friendly, supportive and
collegial environment in which to develop as world-class researchers and
teachers, and who will contribute to the continued development of the
Financial and Actuarial Mathematics (FAM) provision within the
Probability & Statistics Group, Department of Mathematics, in the School
of Natural Sciences.
Applicants are sought in any area of Actuarial Science and Statistics
that complements or extends existing expertise in the Department.
Current research themes within FAM include statistical modelling of
extremal events, insurance risk models, financial risk management,
pensions and social security, pricing of financial instruments and time
series analysis (see
Financial and insurance mathematics - Department of Mathematics - The University of Manchester
Discover how mathematics researchers at The University of Manchester are looking at mathematical and probabilistic modelling of financial markets.
Applicants should have an outstanding track record of research in and a
strong affinity to Actuarial Science and Statistics (with allowance made
for career breaks) as well as a genuine commitment to, and enthusiasm
for, teaching, research and the development of others. There are many
opportunities to engage with other researchers at the University
including the Alliance Manchester Business School (
https://www.alliancembs.manchester.ac.uk/ ) and the Institute for Data
Science and Artificial Intelligence (https://www.idsai.manchester.ac.uk/
). We are also a University Partner of the Alan Turing Institute (the
UK national institute for data science).
Please see the link above for further information.
The closing date for applications is 29th September 2022.