Publisher
source

University of Göttingen

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.

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Country

Germany

University

University of Göttingen

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Keywords

Computer Science
Environmental Science
Deep Learning
Biology
Remote Sensing
Computer Vision
Earth Science
Uncertainty Analysis
Explainable Ai
Model Validation
Statistics
ML

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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.

More information can be found here

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