PhD Researcher (m/f/d): Understanding climate risks to global food security

Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.; Jena; Hybride; EUR 45 000 - 60 000; Plein temps

Avantages offerts par ce poste

Flextime

Remote work options

Public transport subsidy

Training opportunities

Language courses

Health courses

31 days annual leave

Résumé du poste

Max Planck Society invites applications for a PhD Researcher position to study climate risks affecting global food security. The role blends climate science, statistics, and machine learning within an interdisciplinary team and offers generous research support and international exposure.

The position starts 1 January 2027, with remuneration aligned to the standard Max Planck salaries (65% of EG 13 TvöD). Flexibility in start date and options for remote work are available, along with 31 days of

Qualifications

• Master's degree in climate science or related field
• Programming skills in Python and R with experience handling gridded/time-series data
• Strong motivation for independent, interdisciplinary research
• Good command of written and spoken English

Responsabilités

• Investigate feedback mechanisms behind acceleration in extreme weather trends
• Design climate model experiments and analyse large ensembles
• Apply explainable AI (XAI) and advanced statistics to uncover non-linear interactions between drivers of extremes
• Evaluate how well climate models represent tail processes against observations and reanalysis
• Collaborate with group members and publish in leading journals

Connaissances

Python

R

Gridded data

Time-series data

Interdisciplinary research

English

Formation

Master's degree

Outils

Climate model output

Reanalysis data

Machine learning

Description du poste

PhD Researcher (m/f/d): Understanding climate risks to global food security

Tasks

• Investigate feedback mechanisms and processes behind acceleration in extreme weather trends
• Design targeted climate model experiments and analyse large ensembles to test conditions under which tail-specific feedbacks are triggered
• Apply explainable AI (XAI) and other advanced statistical methods to uncover non-linear interactions between physical drivers of extremes
• Evaluate how well climate models represent these tail processes against observations and reanalysis
• Investigate drivers, statistics and impacts of record-breaking events in current and future climates, in collaboration with the other group members
• Publish in leading journals, present at international conferences
• Help organise group events
• Co-supervise PhD students

Profile

Essential

• Master's degree (or equivalent) in climate science, atmospheric science, physics, geosciences, environmental science, statistics or a related field
• Programming skills (e.g. Python, R) and experience handling gridded or time-series data
• Strong motivation for independent, interdisciplinary research
• Good command of written and spoken English

Advantageous

• Experience with climate model output, reanalysis data or extreme event analysis
• Knowledge of extreme value statistics, compound events or time-series methods
• Experience with agricultural modelling and agricultural datasets
• Experience with machine learning or causal methods
• Previous research experience, e.g. a Master's thesis in a related topic

Our offer

The position will begin on the 1st of January 2027 though some flexibility in start date is possible. Remuneration will follow the standard PhD salaries given in the Max Planck Society which correspond to 65% of EG 13 TvöD (Bund). The position includes 31 days of annual leave. We also offer attractive and family-friendly flextime and options for remote work. Additional benefits include an employer subsidy for public transport, access to training opportunities within the Max Planck Society, as well as language and health courses. The successful candidate can apply for admission to our graduate school “International Max Planck Research School for Modeling the Anthropocene”.

The Max Planck Society is committed to employing more individuals with disabilities and especially encourages them to apply. We are also committed to encouraging diversity and actively challenging biases based on gender, nationality, ethnicity, sexual orientation, religion and other components of identity. We were honored with the TOTAL E-QUALITY award for the first time in 2023 for our commitment.

The Max Planck Society supports the compatibility of family and career and is certified according to the "berufundfamilie" (“job and family”) audit.

About us

The Max Planck Institute of Geoanthropology (MPI-GEA) was founded in summer 2022 and is a dynamically growing, highly-interdisciplinary and international research institution. The research focuses on modeling and analyzing the interrelationships between biophysical and human-made systems, looking from the deep past to the future. The institute examines how humanity has driven the emergence of the Anthropocene – the period in which human activities began significantly impacting our planet’s climate and ecosystems – and identifying potential intervention points towards a more sustainable future.

The Carl Zeiss Stiftung Independent Research Group on High-End Climate Risks (CZS-HECR) at MPI-GEA works towards an end-to-end understanding of worst-case climate outcomes, from unprecedented and compounding extremes to their societal impacts. The group combines fundamental physical process understanding rooted in climate physics and Earth System analyses, targeted climate model experiments, advanced statistics, including machine-learning- and explainable AI to deliver usable climate risk estimates under current and future climates for core societal sectors such as health, food, energy and finance.

Doctoral researchers join an interdisciplinary team, and a broad international network are provided with highly competitive research conditions including generous support for travel and research visits.

Contact

Dr. Kai Kornhuber

Email: [e-mail]

Max-Planck-Institute for the Science of Human
Kahlaische Straße10
07745Jena

gea.mpg.de

Twitter: @MPI_GEA