2 PhD Researchers in Machine Learning & Medical Image Analysis at Scads AI, Leipzig University

Hiring: 2 PhD Researchers in Machine Learning & Medical Image Analysis
I am recruiting two full-time PhD researchers to join my newly established Structure-Aware Machine Learning Research Group at ScaDS.AI, Leipzig University, Germany.

Our research focuses on developing novel machine learning methods that exploit spatial, temporal, anatomical, and distributional structures to improve generalization, robustness, interpretability, and efficiency, with a particular emphasis on medical image analysis and healthcare AI.

🔬 Your key tasks

Developing novel machine learning and deep learning methods for medical image analysis, including segmentation, classification, detection, and disease assessment
Investigating structure-aware representation learning by incorporating anatomical, spatial, and temporal information into model design
Developing methods for 3D medical imaging (CT/MRI), ultrasound, and medical video analysis
Exploring foundation models, multimodal learning, and vision-language models for medical imaging and clinical applications
Addressing challenges in domain generalization, distribution shifts, limited annotations, and noisy labels
Designing and conducting rigorous experiments on real-world medical imaging datasets
Publishing research at leading conferences and journals, such as MICCAI, MIDL, CVPR, ICCV, ECCV, NeurIPS, ICLR, IEEE TMI, and Medical Image Analysis
Collaborating with machine learning researchers and clinical partners to translate methodological advances into healthcare applications
💶 What we offer
Two full-time (100%) PhD research positions, with expected salary classification TV-L E13 (subject to final HR confirmation)
30 days of paid annual leave under the applicable German public-sector collective agreement
Public-sector employment benefits, including supplementary pension provisions
Access to powerful shared HPC infrastructure, including 800+ NVIDIA H100/A100 GPUs, subject to allocation and availability
An interdisciplinary research environment combining machine learning, computer vision, and medical AI
Opportunities to develop independent research ideas, collaborate with clinical researchers, and publish at top-tier international venues
The opportunity to help shape a newly established research group
🎓 Your profile
A Master's degree (or expected completion) in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Image Computing, or a related field
Strong foundations in machine learning, deep learning, and computer vision
Proficiency in Python and PyTorch
Interest in developing novel machine learning methods, rather than solely applying existing models
Good English communication and scientific writing skills
Prior experience in medical image analysis, computer vision, or multimodal learning is highly desirable
Publications at leading conferences or journals are a plus, but not required
🏛️ Research environment

Founded in 1409, Leipzig University is one of Germany's oldest research universities. ScaDS.AI Dresden/Leipzig is one of Germany's five national AI competence centers, providing an excellent environment for fundamental machine learning research and interdisciplinary applications.

📅 Application and start date

Applications are welcome immediately and will be reviewed on a rolling basis until the positions are filled. The preferred starting date is as soon as possible.

📩 How to apply

Please send your CV and a brief description of your research interests to:

xiaowei.xu@uni-leipzig.de

Email subject: PhD Application – Your Name

For questions about the positions, feel free to contact me directly.

🌐 Group Leader: Dr. Xiaowei Xu
https://xiaoweixu.github.io/

Formal appointments will follow Leipzig University's recruitment procedures.

Feel free to share this opportunity or recommend talented candidates!