Applications are invited for five fully-funded PhD studentships at Lancaster University in which you will learn to develop cutting-edge data science approaches to address key environmental science challenges. The closing date for applications is 4 Feb 2019.
The studentships are part of the large-scale £2.6M EPSRC-funded project Data Science for the Natural Environment (DSNE, https://www.lancaster.ac.uk/dsne/), a joint project between Lancaster University and the NERC Centre for Ecology & Hydrology (CEH). This is an exciting opportunity to work at the heart of a multi-disciplinary team of researchers consisting of computer scientists, statisticians, environmental scientists and stakeholder organisations, working together to deliver methodological innovation in data science to tackle grand challenges around environmental change.
The DSNE research programme is a prestigious and high profile research programme targeting a paradigm shift in the role of data in environmental science and leading to long-term impact in decision making. The research is arranged around methodological developments in three core methodological themes (integrated statistical modelling, machine learning and decision-making, and virtual lab development), interlocked with three challenge themes from the environmental sciences (ice sheet melt prediction, air quality modelling and land-use modelling). PhD topics are available across the spectrum of DSNE research, including social science aspects. The topics and application procedure are described on the DSNE PhD studentships website <https://www.lancaster.ac.uk/dsne/studentships/>.
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David Leslie, Professor of Statistics,
Department of Mathematics and Statistics, Fylde College
Lancaster University, Lancaster, LA1 4YF, United Kingdom
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http://www.lancaster.ac.uk/fas/maths/people/david-leslie
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