Applications are invited for Chapman Fellowships in the Department of Mathematics, commencing September 2024. There are several positions available, which will each be fixed term for 2 years. These posts provide an excellent opportunity for those seeking to pursue an academic career in Mathematics.
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Applications are invited for a Research Officer in Statistics in the Department of Statistics at the London School of Economics. Commencing in September 2024, this is a fixed term appointment for 3 years. Closing date: 12 January 2024 (23.59 UK time); Interviews: 24 January 2024.
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Applications are invited for a Postdoctoral Research Associate in Statistics in the Department of Statistics at the University of Oxford. Commencing in September 2024, this is a fixed term appointment for 3 years. Closing date: 12 January 2024 (12.00 noon, UK time); Interviews: 24 January 2024.
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We invite applications for a Postdoctoral Research Associate to work on the EPSRC-funded programme grant ‘Network Stochastic Processes and Time Series (NeST)’ . NeST brings together the Universities of Bath, Edinburgh, Imperial College London, the London School of Economics and Political Science, Oxford and York, with industrial and government partners. This configuration has advantages for postdoctoral researchers as you will not only have access to your project leaders and team, but ultimately to all project members across the six institutions and the flow of ideas and problems across NeST. Stochastic network data are of rapidly increasing ubiquity in many fields such as medicine, transportation, cybersecurity, the environment, finance, biology and economics, and NeST aims to achieve a step change in the modelling and prediction of evolving, inter-connected stochastic network processes. As part of the NeST team, you will contribute to realising a substantial coordinated push to create, develop and apply innovative new models, computational techniques and underpinning theory, in response to real applied problems spurred by dynamic networks in many contexts. The research at the University of York will be led by Prof. Marina Knight and focus on the modelling and prediction of dynamically collected data at the nodes and edges of e.g. biological networks. The statistical challenge in such contexts is to more accurately reflect data characteristics in network time series models, where the data may be high-dimensional and for example exhibit nonstationarity, long-range dependence, and/or be driven by external factors. The position is full-time and will be held for 36 months, starting as soon as possible and ideally before 2 September 2024. Closing date: 13 March 2024; Interviews: 25 March 2024
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