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Senior Research Associate Position in Environmental Data Science: Virtual Labs in the Cloud
Mathematics & Statistics
£33,518 to £38,832
Friday 08 June 2018
To be confirmed
A four year post doctoral research post for four years is available in an exciting, cross-disciplinary programme of research to develop and deploy a data science of the natural environment (http://www.lancaster.ac.uk/dsne). The project comprises data scientists, environmental scientists and a range of stakeholders, and will focus on methodological innovation in data science to tackle grand challenges around environmental change. This work is funded by the EPSRC under their New Approaches to Data Science call (https://www.epsrc.ac.uk/funding/calls/newapproachestodatascience). This is a prestigious and high profile award targeting a paradigm shift in the role of data in environmental science and in associated decision making.
The research programme focuses on integrating spatio-temporal statistical models and extreme value methods, with Gaussian process emulation of deterministic and stochastic environmental process models, and Bayesian optimisation and other machine learning methods leading through to decision support. All methodology will be deployed in a newly developed and open source virtual lab environment. You will develop novel approaches that address the particular data science demands in terms of understanding and managing the natural environment. The research will be driven by selected environmental grand challenges in the areas of ice sheet melt prediction, air quality modelling and land use management.
This position focuses on virtual lab development, and we seek a post-doc with research experience of big data/ cloud environments, with supplementary skills in at least one of at least one of distributed systems, eScience or software engineering/ software architecture. Experience of working on environmental change would be an advantage but not essential.
We are particularly interested in applicants who are excited by working on environmental grand challenges and on the potential of working at the interface between disciplines in addressing these challenges. The research will be varied and exciting, with the potential to shape an emerging field of real importance.
A PhD or equivalent degree in computer science (or a closely-related field) is required to be eligible for this position. You will have a track record of high-quality publications in areas of relevance to the project and the willingness to undertake ambitious and challenging research. For more details, please see the detailed Job Description/Person Specification for this position.
This is a fixed-term apointment for up to 48 months.
Interested candidates are strongly encouraged to contact Prof. David Leslie in advance of making an application (email@example.com).
We welcome applications from people in all diversity groups, and are keen to discuss job share opportunities with interested candidates.
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