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University Assistant/Associate Professor in Climate and Environmental Data Science

Closing date: 
Thursday, 28 September 2023

Department of Applied Mathematics and Theoretical Physics

Applications are invited for an Assistant/Associate Professorship in Climate and Environmental Data Science, jointly held in the Department of Earth Sciences (DES) and the Department of Applied Mathematics and Theoretical Physics (DAMTP) to commence on 1 January 2024 or shortly thereafter.

Applicants should hold a PhD or equivalent and be able to demonstrate an outstanding research track record within the broad area of Climate and Environmental Science. We are particularly keen to recruit applicants whose research includes quantitative analysis of climatologically or environmentally relevant observational data acquired using field-based approaches, which can include, but is not limited to, environmental geochemistry, geomorphology, or field-based fluid flow. Applications are particularly encouraged that build on, complement and extend pre-existing strengths across Climate and Environmental Sciences at the University and at the British Antarctic Survey. An ability to teach in both the Natural Sciences Tripos and the Mathematical Tripos will also be an advantage, as will experience in encouraging and supporting applicants and students from groups underrepresented in STEM subjects, including women.

This is one of two faculty positions in support of a new MPhil in Quantitative Climate and Environmental Sciences jointly developed by DAMTP and DES in collaboration with the British Antarctic Survey.

Applicants will be expected to give undergraduate and masters-level lectures, in particular contributing to the new MPhil in Quantitative Climate and Environmental Sciences. Applicants will also take feedback from students and perform other usual departmental duties such as those associated with examinations. They will be expected to investigate new areas of research, seek out new funding opportunities and submit grant applications. They will also be required to write papers for publication, attend conferences, network with national/international colleagues and give presentations.

https://www.jobs.cam.ac.uk/job/42255/

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

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