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GEOMAR Helmholtz Centre for Ocean Research Kiel

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Doctoral Researcher in Marine Data Science for Cold-Water Coral Ecosystems GEOMAR Helmholtz Centre for Ocean Research Kiel in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Position is funded for 3 years. Full-time role; salary depends on qualification and could be up to TVöD-Bund E13. No tuition information mentioned.

Deadline

Sep 16, 2026

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Country

Germany

University

GEOMAR Helmholtz Centre for Ocean Research Kiel

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Keywords

Computer Science
Environmental Science
Biology
Earth Science
Oceanography
Data Mining
Big Data
Statistics
Physics
ML

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About this position

GEOMAR Helmholtz Centre for Ocean Research Kiel is advertising a Doctoral researcher (m/f/d) in Marine Data Science within the project “Spatial pattern mining and knowledge fusion to analyse, understand and predict occurrences of cold-water coral ecosystems”. The position is linked to the Helmholtz School for Marine Data Science (MarDATA) and is carried out in close collaboration between GEOMAR’s Paleo-Oceanography groups and the Data Science group at Kiel University.

This PhD opportunity sits at the intersection of computer science, data science, machine learning, data mining, data engineering, oceanography, Earth science, and environmental science. The research goal is to integrate heterogeneous marine datasets and develop scalable analytics workflows to identify patterns, correlations, and predictive signals for cold-water coral growth, distribution, and health. The project emphasizes novel machine learning methods, knowledge fusion, and analysis of large-scale datasets from regional to global ocean basins.

Eligibility highlights: a Master’s degree is required, ideally in computer science or data science. Applicants should have strong programming skills (especially Python and C++), experience with data evaluation and analysis, and very good written and spoken English. Helpful additional experience includes machine learning/AI, pattern recognition, neural networks, FORTRAN, R, physics, earth science, oceanography, marine biogeochemistry, marine ecosystems, scientific writing, and large data set analysis.

Funding and conditions: the position is funded for 3 years, full-time, with salary up to TVöD-Bund E13 depending on qualification. The post is based in Kiel, Germany. No tuition waiver is mentioned because this is a salaried doctoral researcher position rather than a scholarship.

How to apply: submit your application online with CV, certificates, motivational letter, and 3 references. The deadline is 2026-09-16. Applicants are asked to indicate how they learned about the position. For questions about the role, contact PD. Dr. Jacek Raddatz; for application-related questions, use the recruitment email provided in the post.

Funding details

Position is funded for 3 years. Full-time role; salary depends on qualification and could be up to TVöD-Bund E13. No tuition information mentioned.

What's required

Master's university degree, ideally in computer science or data science. Strong programming skills, especially Python and C++, plus data evaluation and analysis experience. Very good written and spoken English are required. Preferred qualifications include teamwork, open-mindedness, scientific creativity, determination, experience in machine learning or AI (pattern recognition or neural networks), FORTRAN and R, physics/earth science/oceanography or related fields, data-driven knowledge fusion, large data set analysis, scientific writing, and knowledge of marine biogeochemistry and marine ecosystems.

How to apply

Apply online via the application link and submit CV, certificates, motivational letter, and 3 references. Indicate how you became aware of the position. Contact Jacek Raddatz for questions about the position and the recruitment email for application-related questions.

More information can be found here

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