Job offers

Student / Research Assistant (m/f/d; 10-15 hours/week)

from the fields of Computer Science, Engineering, Medicine, or related degree programs – starting as soon as possible.

Our newly established research group on Applied Clinical Systems develops machine learning methods for challenges arising in clinical practice. We bring together computer science and medicine and work with healthcare professionals to address real-world problems from the clinic. We are particularly looking for support in the following areas:

• Robotics for clinical workflows: Automation of manual processes in pathology, e.g., handling of pathology slides using camera-based object detection. Suitable for candidates with experience in robotics, computer vision, OpenCV, or hardware-related development.
• Research Agents: Development of LLM-based agents for literature research, data analysis, and automated research workflows. Suitable for candidates with experience in Python, LLM APIs, agent frameworks, or vLLM.
• Medical Image Computing for resource-limited settings: Development of robust ML models for heterogeneous, incomplete, and variable-quality medical imaging data under limited infrastructure. Focus on generalization, transfer learning, and local inference. Suitable for candidates with experience in PyTorch/TensorFlow/JAX, computer vision, or medical image analysis.
• Clinical ML systems for digital pathology: Development and evaluation of clinically oriented models with a focus on interpretability and workflow integration. Suitable for candidates with experience in deep learning, medical image analysis, and explainability.