statistical inference and uncertainty quantification for complex process-based models using multiple data sets [postdoc in Warwick]

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 parameter 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”. 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, with closing date 8 March 2020.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.