The School of Mathematics is developing its activity in the area of Complexity Science and related areas, in particular in nonlinear dynamics on networks, understanding how influence is propagated in social networks, dynamics of social and evolutionary systems, adaptive networks, and applications of all these to large, challenging problems drawn from the real world.
This is a unique opportunity for you to join the School of Mathematics and to become a key part of its growth in this field. You will have a background in computational or applied mathematics or statistics, with interests in (for example) the fundamental mathematical challenges behind economic, social or population modelling.
You will develop a research profile addressing the mathematical hurdles that must be overcome in order for meaningful progress to be made in Complexity Science and you will contribute to the School’s ambition to excel in REF2020, with a sustained record of internationally excellent publications and the potential for your research having impact outside Mathematics.
You will co-supervise PhD students and be expected to contribute to the development and delivery of educational materials and programmes at undergraduate, Masters and PhD level.
You will also be expected to submit grant applications for research support, and to work with colleagues across the University to submit larger grants. You will already have a substantial fellowship that supports your work, or be a candidate for such a fellowship.
You will have significant proven research experience within the field of Complexity Science or related areas, the ability to teach at both Undergraduate and Postgraduate level, as well as a clear and compelling vision for personal academic development.
University Grade 8 (£38,511 to £45,954)
For informal enquiries about the role please contact Professor Alastair Rucklidge, tel: +44 (0)113 343 5161, email: A.M.Rucklidge@leeds.ac.uk.
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