PhD Candidate (f/m/x) in Data Science for Biomedical Imaging

• You will work with unique datasets generated by cutting-edge optoacoustic imaging and sensing technologies, with the goal of discovering biological and medical information that has not yet been fully exploited.
• You will have the freedom to ask what information is contained in these data and develop the computational and statistical approaches needed to extract it.
• Working closely with experts in imaging technology, algorithm development, biology, and medicine, you will be able to understand the entire path from physical measurements to biological interpretation and develop robust analysis approaches tailored to challenging real-world biomedical data.

You will have the opportunity to:

• Analyze unique preclinical and clinical imaging datasets and uncover novel biological and medical insights.
• Develop innovative data analysis, image analysis, statistical, and machine learning methods, choosing the approach that best fits the scientific question.
• Investigate systematically what information is contained in imaging data, how it can be extracted, and how confidently conclusions can be drawn.
• Develop and apply approaches for uncertainty quantification, robust inference, and validation of biomedical imaging results.
• Work directly with biologists, biomedical researchers, and clinicians to formulate relevant questions and interpret findings in their biological and medical context.
• Contribute to turning advanced imaging and sensing technologies into tools that generate new biological understanding and clinically relevant information.

• Master Degree in Data Science, Computational Biology, Bioinformatics, Mathematics, Physics, Engineering, Computer Science or related disciplines with a strong academic record.
• Strong background in data analysis, statistics, machine learning, scientific computing, or related computational methods.
• Strong programming skills, preferably in Python, and experience working with scientific data.
• Strong interest in using computational methods to discover biological or medical insights from imaging and sensing data.
• Curiosity and willingness to engage with both the technical foundations of imaging methods and the biological or medical questions behind the data.
• Strong analytical and problem-solving skills.
• Independent, proactive, and collaborative working style.
• Excellent communication skills and fluency in English.
• Enthusiasm for interdisciplinary teamwork in an international research environment.

Desirable qualifications

• Strong knowledge of statistics, statistical learning, or probabilistic modeling.
• Experience collaborating with experimental scientists, biologists, or clinicians.
• Interest or experience in LLMs, tool-using agents, or agentic workflows.
• Experience in optoacoustics, ultrasound, optical imaging, spectroscopy, or related technologies.
• Interest in entrepreneurship, innovation transfer, or commercialization.
• Fluency in German