University of Göttingen
1 week ago
Data Scientist / Postdoc in AI and Machine Learning for Forest Sciences University of Göttingen in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
A paid Data Scientist / Postdoc position is advertised at the Faculty of Forest Sciences and Forest Ecology, University of Göttingen. The post combines research, method development, consulting, teaching, and academic qualification; no stipend, salary amount, or tuition details are provided in the post.
Country
Germany
University
University of Göttingen

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About this position
We are hiring a Data Scientist / Postdoc for KIForst at the Faculty of Forest Sciences and Forest Ecology, University of Göttingen.
This position is centered on applying AI and machine learning to forest science problems, with a strong focus on deep learning, computer vision, explainable and trustworthy AI, uncertainty analysis, model validation, and the processing of complex spatial data. The role also includes methodological consulting for research groups, plus teaching, workshops, and professional training.
The post is suitable for candidates interested in interdisciplinary work at the interface of computer science, environmental science, biology, statistics, and earth science. It appears to be a research-oriented postdoctoral opening rather than a scholarship or studentship.
No deadline, salary, or funding package details are stated in the post itself. For full information and application instructions, use the linked page.
Funding details
A paid Data Scientist / Postdoc position is advertised at the Faculty of Forest Sciences and Forest Ecology, University of Göttingen. The post combines research, method development, consulting, teaching, and academic qualification; no stipend, salary amount, or tuition details are provided in the post.
What's required
Applicants should be excited about translating forest science questions into robust, applicable AI solutions. The post emphasizes experience or interest in machine learning, deep learning, computer vision, explainable and trustworthy AI, uncertainty analysis, model validation, and processing complex spatial data. The role also involves methodological consulting, teaching, workshops, and professional training, suggesting strong interdisciplinary communication skills are important.
How to apply
Open the linked information page for full details and application instructions. Review the role requirements and prepare your application materials. Share the post if you know suitable candidates.
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