Research Associate in Statistics

University of York

York, UK

Application Deadline
£36,024 to £44,263

We invite applications for a Postdoctoral Research Associate to work on the EPSRC-funded programme grant ‘Network Stochastic Processes and Time Series (NeST)’. You will conduct the relevant research in the Department of Mathematics under the direction of Professor Marina Knight, and provide guidance to junior members of the research group including project students and PhD students.

The position is full-time and will be held for 36 months, starting as soon as possible and ideally before 2 September 2024.

Candidates must have a PhD in Statistics or a related subject or expect to have submitted their PhD by the post start date. A solid background in Statistics is essential for the post holder. Successful applicants should demonstrate excellent research achievement or potential for such achievement in (1) advanced statistical methodology, (2) complex simulation and real data analysis, and (3) advanced programming skills. Experience in network research is desirable but not essential.

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. NeST’s 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. We envisage frequent virtual and sometimes in person meetings between all members of the team (particularly within projects), but also annual gatherings and coordinated meets at events such as workshops and conferences as appropriate. Further information on NeST is available here.

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. You will have access to, and potential opportunities to work with a larger team consisting of academics (Ed Cohen, Nick Heard, Guy Nason, Matthew 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. (See Job Description for further details and role responsibilities and requirements.)

Further information

Interview date: 25 March 2024

How to apply: please apply by completing the online application associated with this advert. Application materials must contain (1) CV including a list of publications, other outputs, (2) copy of one representative output (preferably published), and (3) cover letter explaining your interest in this position and how your expertise relates to the project.

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