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Senior Research Fellow in Data Science - Cambridge, Cambridgeshire, United Kingdom - University of Cambridge
Description
Senior Research Associate in Data Science for ClimateComputational modelling is at the core of climate science, where complex models of earth systems are key to the scientific process.
Most models embed significant inherent and accidental complexity which hampers verification and maintenance, reproducibility, and performance. Furthermore, modern models are exceptionally data-rich, both in terms of observational inputs and simulation outputs.Fostering such multi-disciplinary research is the aim of this 3-year Early Career Advanced Fellowship in the Institute of Computing for Climate Science (ICCS) at the University of Cambridge.
The institute is a joint venture between the Department of Applied Mathematics and Theoretical Physics, the Department of Computer Science and Technology and University Information Services, thanks to a philanthropic donation from Schmidt Futures.
ICCS is improving understanding of our changing climate through the development and dissemination of models for scientific computing.ICCS hosts a team of Research Software Engineers who work directly with six international Virtual Earth Systems Research Institutes (VESRI) to address computation and research software needs of climate scientists.
The Senior Research Associate (SRA) will be based in DAMTP and affiliated with Queens' College.This is a three-year appointment including research expenses support, allowing the SRA to apply for other sources of funding as principal investigator.
Duties include developing and conducting individual and collaborative research objectives, proposals and projects and managing research budgets.You are responsible for the investigation and delivery of your own research programmes, and assessing, interpreting and evaluating the outcomes.
You need to be able to identify sources of funding, help secure funds and develop links with external contacts.PhD in a subject area relevant to climate science, data science or computer science.
Normally at least three years' research experience (obtained in either academic or industrial settings).
A strong track record in one or more relevant research areas.
Evidence of high-quality research outputs.
Managing research budgets and programmes and obtaining sources of funding.
Fixed-term: Please indicate the contact details (email address) of three academic referees on the online application form and upload a full CV, publications list, a description of your recent research, current research and future research interests (not to exceed two pages).
It is important that at least two of your referees are contactable at any time during the selection process, and is made aware that they will be contacted by the HR Office Administrator.
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