Postdoctoral Researcher in Reduced Complexity Modelling of the Earth System

We are seeking a Postdoctoral Researcher to examine the interplay between Earth system behaviour and the mitigation of associated risks stemming from anthropogenic disturbances. Key themes will include: 1) how Earth system risks can be characterised by developing and using existing emulators of Earth system models; 2) approaches to simplify existing integrated assessment models aiming to derive robust strategies against stochastic events either related to Earth system behaviour or related to socio-economic or technological events; 3) assessment of various strategic approaches to assess risk and uncertainties in integrated assessment; 4) methodologies for downscaling aggregate results to validate physical consistency of the obtained results. The primary focus will be global modelling, though there will be scope to explore application to national implementations such as the UK. The post will serve an integrative function across the Environmental Change Institute aiming to link quantitative assessments within research groups arriving at a more comprehensive and holistic understanding of potential total system behaviour.

The successful candidate will be managing their own research and administrative activities, within guidelines provided by senior colleagues, including using small scale project management techniques to co-ordinate tasks and meet deadlines. You will have significant scope to shape the research activities in this area of integrated assessment. Main activities will involve designing and conducting novel academic research with the main aim to advance methodology in integrated assessment and broaden the scope of integrated assessment to aspects of stochastic events. This will involve conducting work with a network of other like-minded global change researchers. You will also be responsible for preparing manuscripts for submission to peer reviewed journals.

You must hold a PhD /DPhil in subject areas relevant for modelling of complex systems, control theory.  You will possess experience in integrated assessment modelling and applied data science. Candidates with theoretical contributions in the areas of AI/optimal control theory/game theory will be at an advantage. Basic knowledge of Earth system science and demonstrated experience in running Earth system models is essential. You will have excellent programming skills with experiences in machine learning Previous experience in developing scientific software for informing environmental decision making (using, e.g., Python, R, and mathematical optimization software). Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings are essential.

Applications are particularly welcome and encouraged from women, black, and minority ethnic candidates, who are under-represented in posts in SoGE. SoGE and SSEE are committed to equality and value diversity.

This is a full-time post for 2 years.

Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.

The closing date for applications is 12:00 noon on Friday 8 July 2022, and interviews will be in mid-July 2022.