Lancaster University and the NERC Centre for Ecology and Hydrology (CEH) have recently been awarded a large grant to develop a Data Science of the Natural Environment. We are recruiting three fully-funded PhD positions in the heart of this project. You will be part of a large cross-disciplinary team of scientists, collaborating with a number of key environmental stakeholder organisations, and benefitting from all the resulting excitement.
The project will develop a new approach to data science of the natural environment driven by three representative grand challenges of environmental science: predicting ice sheet melt, modelling and mitigating poor air quality, and managing land use for maximal societal benefit. The three advertised PhD topics are on these three challenge areas. In each, there is already an extensive scientific expertise, with intricate models of processes at multiple scales. However this sophisticated modelling of system components is often let down by naive integration of these components together, and inadequate calibration to observed data. The consequence is poor predictions with a high level of uncertainty and hence poorly-informed policy making. Your PhD will address this problem in one of the grand challenge domains.
Studentships will cover the fees and stipend of UK/EU students at the standard rate. If you are not UK/EU you will need to demonstrate an ability to cover the additional fees for an overseas student.
The deadline for applications is 1:00pm Friday 16 February 2018. Due to the limited time between the closing date and the interview date, it is essential that you ensure references are submitted by the closing date. Application details are on our website.
PhD position details at <http://www.lancaster.ac.uk/maths/news-and-events/news/2018/three-phd-positions-in-environmental-data-science/>
Project website at <http://www.lancaster.ac.uk/dsne>
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David Leslie, Professor of Statistical Learning,
Department of Mathematics and Statistics, Fylde College,
Lancaster University, Lancaster, LA1 4YF, United Kingdom
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