Do you have mathematical expertise in network science? Are you enthusiastic about engaging in collaborative research studying dynamical processes on networks? Would you like to feel part of a strong supportive team at the University of Leeds?

We are looking for a Research Fellow to join our project to develop ‘lumping’ techniques to approximate Markov chain dynamics on networks.

The project is funded by the Leverhulme Trust and you will work with the lead investigator, Dr Jonathan Ward, on mathematical network science research. The aim of the project is to develop exact and approximate methods for the analysis of a broad range of dynamical processes on networks. As part of this, you will contribute to the development of a new theoretical framework and explore real-world applications.

You will have a PhD in Mathematics, Physics, or a closely allied discipline, with a strong background in mathematical and simulation studies of dynamical processes. Ideally you would have expertise in dynamics on networks or a related area, such as Markov chains, statistical mechanics, or dynamical systems.

You will have the ability to conduct independent research and a developing track record of publications in international journals.

The School of Mathematics is committed to Equity, Diversity, and Inclusion, and to an environment free of any type of discrimination, where everyone can reach their full potential. We strive to support the career development of the Postdoctoral Research Fellows that we recruit, and to provide them with the flexibility and support needed in their development as the future generation of world-leading researchers.

The School of Mathematics also offers a number of family-friendly employment practices that are designed to enable a good work-life balance and to be responsive to support personal circumstances. In many roles we offer flexible working and part- time working, and we have a range of services to help support staff through work and personal challenges.