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Max Planck Institute of Geoanthropology

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PhD Researcher in Economic Impacts from Complex Climate Risks Max Planck Institute of Geoanthropology in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Standard PhD salary at the Max Planck Society corresponding to 65% of EG 13 TvöD (Bund). Includes 31 days of annual leave, flexible working, remote work options, employer subsidy for public transport, training opportunities, and language and health courses. Generous support for travel and research visits is mentioned.

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Germany

University

Max Planck Institute of Geoanthropology

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Keywords

Computer Science
Environmental Science
Earth Science
Causal Inference
Explainable Ai
Societal Impact
Economics
Statistics
Severe Weather
Climate Variability
Climate Risk
ML

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About this position

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 impacts of extreme, record-breaking, and compounding weather extremes; develop statistical methods to integrate extreme events into empirical damage functions and/or integrated assessment modelling frameworks; apply or develop agent-based economic models; and use causality tools and advanced statistical methods to disentangle drivers of worst-case climate impacts. The role includes writing a doctoral thesis, publishing papers in international journals, and presenting at conferences, group events, Summer Schools, and Workshops.

Eligibility highlights: a Master's degree or equivalent in climate science, atmospheric science, physics, geosciences, mathematics, statistics, or a related field; strong knowledge of atmospheric dynamics and climate variability; programming skills (e.g. Python); experience analysing large climate datasets; strong motivation for independent research; and good English. Helpful experience includes climate observations, reanalysis, climate model output, statistical modelling, causal inference, explainable AI, and machine learning.

Funding and conditions: standard Max Planck PhD salary at 65% of EG 13 TvöD (Bund), 31 days annual leave, flexible hours, remote work options, public transport subsidy, training opportunities, and language/health courses. The successful candidate may apply for admission to the International Max Planck Research School for Modeling the Anthropocene.

How to apply: submit the application via the online portal with a cover letter, CV, research interests summary, publications or thesis if applicable, two referees, and certificates. The position is open until filled.

Funding details

Standard PhD salary at the Max Planck Society corresponding to 65% of EG 13 TvöD (Bund). Includes 31 days of annual leave, flexible working, remote work options, employer subsidy for public transport, training opportunities, and language and health courses. Generous support for travel and research visits is mentioned.

What's required

Master's degree or equivalent in climate science, atmospheric science, physics, geosciences, mathematics, statistics, or a related field; good knowledge of atmospheric dynamics and climate variability; programming skills such as Python and experience analysing large climate datasets; strong motivation for independent research; good written and spoken English. Advantageous: experience with climate observations, reanalysis and climate model output; standard statistical modelling techniques; causal inference, explainable AI, and machine learning; interest in links between climate variability and societal impacts.

How to apply

Apply through the online application portal and include a cover letter, CV (max 3 pages), summary of research interests (max 2 pages), relevant publications or thesis if applicable, contacts of two referees, and any relevant certificates. The position remains open until filled.

More information can be found here

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