Postdoctoral Research Associate in Network

3 weeks ago


University of York, United Kingdom University of York Full time

**Department**:
Applications are invited for several (5) Postdoctoral Research Associate positions in Network Data Science, Statistics and Probability to work on an EPSRC-funded programme on _Network Stochastic Processes and Time Series (NeST)._NeST brings together the Universities of Bath, Bristol, Imperial College London, the London School of Economics and Political Science, Oxford and York, with industrial and government partners BT, EDF, the GCHQ, the Office for National Statistics, Microsoft, Royal Mail, Securonix and FNA. 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.

For the role advertised at the University of York, initially you will be attached to two research projects and be line managed in the Department of Mathematics by Prof. Marina Knight. As part of the NeST team, you will have access to, and potential opportunities to work with a larger team consisting of academics (Ed Cohen, Nick Heard, Guy Nason, Matt Nunes, Gesine Reinert, Patrick Rubin-Delanchy, Almut Veraart and Qiwei Yao) collectively covering a wide range of research in NeST areas, and a growing cohort of postdoctoral and PhD student colleagues spread over the constituent universities.

Projects that are available for this round of positions are P2 Modelling and Forecasting Dynamic Networks via their Edges (Lead/Line Manager: Knight, Yao/Marina Knight. Location: York. Team partners Heard, Nason, Nunes); P4 Dynamic Graph Embeddings: Procedures and Inference (Lead/Line Manager: Heard, Rubin-Delanchy/Nick Heard. Location: Imperial, London. Team partners: Knight, Nunes, Yao); P5 Network Count Processes (Lead/Line Manager: Ed Cohen. Location: Imperial, London. Team partners: Heard, Knight, Nason, Nunes Veraart); P6 Novel Long-Memory Spectral Domain Modelling for Network Data (Lead/Line Manager: Knight, Nunes/Matt Nunes. Location: Bath. Team partners: Cohen, Nason, Veraart); P7 Network Time Series in Continuous Time: Modelling and Estimation (Lead/Line Manager: Almut Veraart. Location: Imperial, London. Team partners: Cohen, Knight, Nason, Nunes, Reinert). P8 Novel Network Time Series Models with Application to Advanced Modelling and Prediction of Government Flow Data Sets (Lead/Line Manager: Nason, Nunes/Matt Nunes. Location: Bath).

See Job Description for further details of these projects. The role responsibilities and requirements are listed in the Job Description.

**Role**:
This role is primarily for Project P2 Modelling and Forecasting Dynamic Networks via their Edges (Lead/Line Manager: Knight, Yao/Marina Knight. Team partners Heard, Nason, Nunes). You will also be involved in Project P6 Novel Long-Memory Spectral Domain Modelling for Network Data (Lead/Line Manager: Knight, Nunes/Matt Nunes. Location: Bath. Team partners: Cohen, Nason, Veraart).

**Further information**:
The salary is on the University of York Grade 6 for the Research Associate position. All applicants with a relevant background and research skills are eligible to apply.

**Closing date**: 7th May 2023

The University strives to be diverse and inclusive - a place where we can ALL be ourselves.

We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork



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