PhD Researcher in Integrated Data Science for Environmental and Life Sciences (8 Interdisciplinary Projects) | IDEAS PhD Call 2026: 8 Interdisciplinary Projects in Data Science for Environmental & Life Sciences
Helmholtz-Zentrum für Umweltforschung GmbH - UFZ
Job Summary
This is a unique opportunity for highly motivated researchers to join the Helmholtz School for Integrated Data Science in Environmental and Life Sciences (IDEAS) as a PhD candidate. The role involves conducting original, interdisciplinary research across 8 diverse projects, focusing on applying modern data science (e.g., machine learning, explainable AI, uncertainty quantification) to complex challenges in environmental and life sciences. Day-to-day tasks include deep-dive research, contributing to scientific publications, and active participation in structured IDEAS training, seminars, and cohort activities. Key requirements include a very good Master’s degree in a relevant field (e.g., Data Science, Computer Science, Environmental Sciences), strong programming and data analysis skills, and excellent English proficiency. The position offers structured supervision, strong career development within the HIDA ecosystem, and the chance to work on high-impact topics like climate risk assessment, cancer care, and biodiversity estimation.
Required Skills
Education
Very good Master’s degree (MSc or equivalent) in Data Science, Computer Science, Mathematics/Statistics, Physics, Environmental Sciences, Life Sciences/Bioinformatics, Computational Social Science, or related areas
Experience
- Professional experience working with large, complex datasets
- Strong programming and data analysis skills
- Ability to collaborate in diverse, interdisciplinary teams across institutions
Languages
Additional
- Contract duration limited to 3 years (with possible extension to a fourth year); Location is Leipzig or Dresden, depending on the project; Requires submission of a cover letter, transcript of records, and two reference letters.
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