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Leipzig University

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Two PhD Positions in Structure-Aware Machine Learning at Leipzig University Leipzig University in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Two full-time (100%) PhD research positions with expected salary classification TV-L E13, subject to formal HR confirmation.

Deadline

Dec 31, 2026

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Country

Germany

University

Leipzig University

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Keywords

Computer Science
Biomedical Engineering
Information Technology
Computer Vision
Medical Science
Statistics
ML

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About this position

Two full-time PhD positions are available in Structure-Aware Machine Learning at Leipzig University in Leipzig, Germany, within the newly established research group at ScaDS.AI.

The group focuses on machine learning methods that exploit spatial, temporal, and distributional structures to improve generalization, robustness, interpretability, and efficiency. Research directions include structure-aware representation learning, computer vision, spatiotemporal modeling, video understanding, domain generalization, learning under distribution shifts, label-efficient and robust machine learning, and applications in medical image analysis and healthcare AI.

Applicants should have a Master’s degree, or be close to completing one, in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Strong fundamentals in machine learning, Python/PyTorch programming skills, research motivation, and good English communication skills are expected. Prior research experience or publications are helpful but not required.

The positions are full-time (100%) and expected to be classified as TV-L E13, subject to formal HR confirmation. The starting date is as soon as possible, and applications are reviewed on a rolling basis.

To apply, email your CV and a brief description of your research interests to [email protected] with the subject line PhD Application – Your Name. The group leader is Dr. Xiaowei Xu.

Funding details

Two full-time (100%) PhD research positions with expected salary classification TV-L E13, subject to formal HR confirmation.

What's required

Applicants should hold, or be close to completing, a Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Strong machine learning fundamentals, good Python/PyTorch programming skills, research motivation, and good English communication skills are expected. Prior research experience or publications are advantageous but not mandatory.

How to apply

Email your CV and a brief description of your research interests to [email protected] with the subject line 'PhD Application – Your Name'. Applications are reviewed on a rolling basis.

More information can be found here

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