Publisher
source

Max Planck Institute of Geoanthropology

Just Landed

Postdoctoral Researcher (m/f/d): Usable Extreme Weather Projections at Impact-Relevant Scales Max Planck Institute of Geoanthropology in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time or part-time postdoctoral position funded for three years with the option of an extension; remuneration follows TVöD Bund up to pay group 13.

Country flag

Country

Germany

University

Max Planck Institute of Geoanthropology

Apply for this position

Keywords

Computer Science
Environmental Science
Mathematics
Earth Science
Explainable Ai
Statistics
Severe Weather
Physics
ML

Suggested positions

Publisher
source

Max Planck Institute of Geoanthropology

Country flag

Germany

Postdoctoral Researcher (m/f/d): Usable Extreme Weather Projections at Impact-Relevant Scales at the Max Planck Institute of Geoanthropology (MPI-GEA), Jena, Germany. This postdoctoral opening sits in the Carl Zeiss Stiftung Independent Research Group on High-End Climate Risks (CZS-HECR), which studies worst-case climate outcomes, unprecedented and compound extremes, and their societal impacts. The project combines climate physics, Earth system analysis, targeted climate model experiments, advan...

Computer Science
Environmental Science
Mathematics
+6 more

1 week ago

Publisher
source

Jakob Runge

University of Potsdam

Country flag

Germany

We’re hiring a postdoc in Explainable AI × Causal Inference at the University of Potsdam . The position is part of CRC 1294 “Data Assimilation” and sits in the AI in the Sciences group, working closely with Jakob Runge’s group and Marina Höhne’s group. The research focus combines causal discovery , effect estimation , approaches based on prior-data fitted networks (PFNs) , and concept-based XAI , including the study of causal mechanisms inside neural networks. This is a full-time E13 TV-L role, ...

Computer Science
Mathematics
Time Series Analysis
+5 more

1 month ago

Publisher
source

Max Planck Institute of Geoanthropology

Country flag

Germany

PhD Researcher opportunity at the Max Planck Institute of Geoanthropology in Jena, Germany, focused on economic impacts from complex climate risks . The project sits in the Carl Zeiss Stiftung Independent Research Group on High-End Climate Risks (CZS-HECR) and is part of an interdisciplinary environment combining climate physics, Earth system analysis, advanced statistics, machine learning, explainable AI, and societal impact research. The doctoral researcher will investigate the economic impact...

Computer Science
Environmental Science
Earth Science
+9 more

1 week ago

Publisher
source

Max Planck Institute of Geoanthropology

Country flag

Germany

Postdoctoral Researcher in Drivers and Statistics of Accelerating Extreme Weather Trends at the Max Planck Institute of Geoanthropology (MPI-GEA), Jena, Germany. This postdoctoral opening sits in the Carl Zeiss Stiftung Independent Research Group on High-End Climate Risks (CZS-HECR) , which studies worst-case climate outcomes, unprecedented and compounding extremes, and their societal impacts. The project combines climate science , atmospheric science , Earth science , physics , statistics , and...

Computer Science
Geology
Environmental Science
+9 more

1 week ago

Publisher
source

University of East Anglia

Country flag

United Kingdom

[Fully funded studentship covering fees, a maintenance stipend of £21,805 p.a. for 2026/27, and a research training and support grant (RTSG). A limited number of studentships are available for international applicants with the home/international fee difference waived; relocation, visa, and health surcharge costs are not covered.] PhD Studentship: Arctic Wintertime Storms in a Changing Climate at the University of East Anglia is a research opportunity focused on polar mesoscale cyclones and polar...

Computer Science
Environmental Science
Mathematics
+4 more

1 week ago

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 help build usable climate risk estimates at impact-relevant scales. The project focuses on understanding worst-case climate outcomes, especially unprecedented and compounding extremes, and how they translate into societal impacts across sectors such as health, food, energy, and finance.

The postholder will work at the intersection of climate physics, Earth system analysis, advanced statistics, and machine learning. Key research themes include identifying the sources of bias in state-of-the-art climate model trends, developing AI/ML-based downscaling approaches for extreme and compound weather events, and designing physics-informed bias-adjustment methods that better preserve relationships in the tails of hazard distributions.

The role is embedded in a highly interdisciplinary and international research environment at MPI-GEA, a young institute founded in 2022. The institute studies the interrelationships between biophysical and human-made systems, with research spanning from the deep past to the future and with a strong focus on the Anthropocene and pathways toward more sustainable futures.

The successful researcher will also publish in leading journals, present at conferences, contribute to workshops and symposia, co-supervise PhD students, and help develop the group’s real-time online tool.

Funding details

Full-time or part-time postdoctoral position funded for three years with the option of an extension; remuneration follows TVöD Bund up to pay group 13.

What's required

A PhD in climate, physics, mathematics, data science, or a related field is essential. Applicants should have demonstrated experience with climate model output, reanalysis and observational climate data, and large gridded datasets, along with strong programming skills such as Python. Experience with causality tools, AI and/or machine-learning methods is required, and a peer-reviewed publication record appropriate to career stage is expected. Excellent English communication skills and the ability to work independently and in a team are necessary. Advantageous experience includes deep learning for downscaling or bias adjustment, extreme value statistics, compound event detection, high-resolution climate simulations, HPC environments, impact-relevant applications, co-supervision of students, and academic teaching.

How to apply

Apply through the application portal and include a cover letter, CV (max 3 pages), a summary of research interests (max 2 pages), up to 10 relevant peer-reviewed publications, contacts of two referees, and any relevant certificates. The position remains open until filled.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.