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Max Planck Institute of Geoanthropology
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Postdoctoral Researcher (m/f/d) | Drivers and statistics of accelerating extreme weather trends Max Planck Institute of Geoanthropology in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time or part-time postdoctoral position funded under the public service pay scale (TVöD Bund) up to pay group 13, with an annual bonus, 31 days' holiday, and a possible 2-year extension after the initial 3-year term.
Country
Germany
University
Max Planck Institute of Geoanthropology
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About this position
The Carl Zeiss Stiftung Independent Research Group on High-End Climate Risks at the Max Planck Institute of Geoanthropology is seeking a postdoctoral researcher to work on the drivers and statistics of accelerating extreme weather trends. The group aims to build an end-to-end understanding of worst-case climate outcomes, from unprecedented and compounding extremes to their societal impacts, using climate physics, Earth system analysis, targeted model experiments, advanced statistics, and explainable AI.
The successful researcher will investigate feedback mechanisms behind accelerating extreme weather, design targeted climate model experiments, and analyse large ensembles to test when tail-specific feedbacks are triggered. The project also includes applying explainable AI and other advanced statistical tools to uncover non-linear interactions between physical drivers of extremes, as well as evaluating how well climate models represent these tail processes against observations and reanalysis. A further focus is on the drivers, statistics, and impacts of record-breaking events in current and future climates, in close collaboration with the other group members.
The role is embedded in a highly interdisciplinary and international institute that studies interrelationships between biophysical and human-made systems and the emergence of the Anthropocene. The research environment combines climate physics, Earth system modelling, advanced data analysis, and societal climate-risk applications across sectors such as health, food, energy, and finance. The post also involves publishing in leading journals, presenting at international conferences, helping organise group events, and co-supervising PhD students.
Funding details
Full-time or part-time postdoctoral position funded under the public service pay scale (TVöD Bund) up to pay group 13, with an annual bonus, 31 days' holiday, and a possible 2-year extension after the initial 3-year term.
What's required
A PhD in climate science, atmospheric science, physics, geosciences or a related field is essential. Applicants should have solid knowledge of atmospheric dynamics and/or land-atmosphere processes and climate extremes, experience analysing climate model simulations and observational or reanalysis data, programming skills such as Python or R, experience with statistical analysis of large datasets, evidence of scientific productivity such as peer-reviewed publications, excellent English skills, and the ability to work independently and collaboratively. Advantageous experience includes running or configuring climate model experiments, explainable AI, machine learning or causal inference methods in the Earth sciences, extreme value theory or tail statistics, compound event detection, extreme weather attribution, and supervision or teaching.
How to apply
Prepare a cover letter, CV of no more than 3 pages, summary of research interests (max. 2 pages), list of up to 10 related peer-reviewed publications, contacts of two referees, and any relevant certificates. Submit the application via the application portal linked in the advert; the position remains open until filled.
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