Kiel University
1 year ago
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Inverse Reinforcement Learning for investigating fish movements Kiel University in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
All doctoral candidates receive 3-year contracts at full E13 positions according to the German public sector salary system (TVÖD), including health, pension, and unemployment insurance. The position is fully funded. Detailed financial numbers are available on the program website.
Deadline
Oct 1, 2026
Country
Germany
University
Kiel University
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About this position
Funding details
All doctoral candidates receive 3-year contracts at full E13 positions according to the German public sector salary system (TVÖD), including health, pension, and unemployment insurance. The position is fully funded. Detailed financial numbers are available on the program website.
What's required
Applicants must hold a master's degree in computer science, software architecture, data engineering, data analytics, advanced statistics, machine learning, numerical and applied mathematics, bioinformatics, or electrical engineering/technical cybernetics. MSc graduates from marine sciences are considered only if they demonstrate solid knowledge in the above-mentioned topics. All doctoral candidates must register with the corresponding faculty and meet local doctoral regulations. International candidates should check visa requirements for Germany. Diversity and equal opportunity policies apply, and women and scientists with disabilities are encouraged to apply.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
the Mathematical Seminar at Kiel University, is inviting applications
for a PhD position (full time) in Marine Data Science. The project
focuses on the application of Inverse Reinforcement Learning to
investigate the drivers of individual fish movements.
The position will be jointly supervised by colleagues at GEOMAR and the
Mathematical Seminar, Kiel University
Further details can be found here:
https://lnkd.in/ec-hCEuR