Lecturer or Senior Lecturer in Applied Mathematics (615813)

To lead a research programme of national/international excellence; to lead the design, development and delivery of a range of teaching programmes and undertake student assessment activities; to lead professional and knowledge exchange activities; and to carry out senior administrative tasks assigned by the Head of Department/School.

Salary: Grade 8 £45,585 - £56,021 / Grade 9 £57,696 - £64,914

The Department of Mathematics and Statistics is a vibrant department which has strong research expertise in Applied Analysis, Continuum Mechanics and Industrial Mathematics, Numerical Analysis, Imaging and inverse problems modelling and AI, Marine Population Modelling, Mathematical Biology, Epidemiology and Statistical Informatics, Applied Statistics and Stochastic Analysis. We have a distinguished track record of conducting high quality research in mathematics and statistics applied to a wide range of real world problems, as reflected in the recent ranking list on https://research.com/university-rankings/mathematics/gb.

The Department has also developed distinctive teaching modules for our own degree programmes, as well as for scientists and engineers across the University, at both undergraduate and postgraduate level. The Department is committed to Athena SWAN principles, as recognised by a Bronze Award.

The Department of Mathematics and Statistics seeks to appoint a Lecturer or Senior Lecturer in Applied Mathematics. The postholder will play a key role in delivering the Department’s strategic direction, and will support our contribution to the next REF, as well as the University’s vision for 2030. You will actively contribute to research activities and collaborations both within the University and with our external partners. You will play a key role in growing our MMath and postgraduate programmes in mathematics, and you will contribute to UG and PGT teaching, assessment and project supervision.

To be considered for the role, applicants should have a special research interest in one of these three areas: Applied Analysis, Mathematical Modelling or Numerical Analysis, and interdisciplinary research, as well as a secondary interest in Data Science. Data Science is interpreted in the broad sense and interdisciplinarity should be in either Data Science or a Strathclyde 2030 research theme.

Informal enquiries about the post can be directed to Professor Ken Chen, Head of Department (k.chen@strath.ac.uk).

Formal interviews for this post will be held in July 2024.

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