Position: Research Fellow, Department of Statistics, University of Warwick
Project: Statistical inference and uncertainty quantification for complex process-based models using multiple data sets
Salary: £30,942 - £40,322 per annum
Fixed term until 31st January 2022
Apply by 8th March 2020 at https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5062452&ownertype=fair&jcode=1860854
Applications are invited for a postdoctoral research fellow position to work on the project “Statistical inference and uncertainty quantification for complex process-based models using multiple data sets”.
The position is part of a project to develop, implement and apply methods for Bayesian inference of models of environmental processes: particularly approaches based on approximate Bayesian computation (ABC) and particle MCMC.
The project is funded through the UKRI Strategic Priorities Fund programme on “Landscape Decisions: Towards a new framework for using land assets” (https://nerc.ukri.org/research/funded/programmes/landscape/). This programme will address the challenge of delivering better, evidence-based decisions within UK landscapes through research collaboration with policy, business and land management partners to deliver an interdisciplinary decision-making framework to inform how land is used. The post holder will become part of the world-renowned Department of Statistics at the University of Warwick.
Informal enquires can be addressed to Dr Richard Everitt ([log in to unmask]), with closing date 8 March 2020.
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Web: http://www.richardgeveritt.com/
Twitter: https://twitter.com/bayesian_stats
Blog: https://richardgeveritt.blogspot.co.uk/
Google Scholar: https://scholar.google.co.uk/citations?user=UlZWgtsAAAAJ&hl=en
My calendar: https://tinyurl.com/RGECalendar
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