PhD Position (f/m/d)

Application deadline: 15/05/2025

The Department of Nuclear Medicine at the University Hospital Würzburg is seeking a highly motivated PhD candidate (f/m/d) to join the research group of Prof. Johannes Tran-Gia (Heisenberg Professorship for Multimodal Imaging and Theranostics). The position is part of an innovative project on AI-driven optimization of internal dosimetry, with a focus on quantitative SPECT/CT imaging.

• PhD position (75 % TV-L E13, initially limited to 3 years) in a dynamic and interdisciplinary research environment.
• Access to cutting-edge imaging technologies and clinical datasets.
• High-performance computing infrastructure for AI training and image processing.
• 3D printing lab for phantom development and research prototypes.
• Integration into the structured PhD program of the Graduate School of Life Sciences (GSLS) at the University of Würzburg.
• Support for attending scientific conferences, further training, and career development.
• Collaboration with national and international partners in academia and healthcare.
• Under certain conditions, activities can be credited toward the medical physics expert (MPE) certification.

• Development and validation of AI-based methods to improve internal dosimetry in radiopharmaceutical therapy, with a focus on quantitative SPECT/CT.
• Application and further development of algorithms for image enhancement, segmentation, and quantitative analysis.
• Integration of AI methods into clinical dosimetry workflows.
• Presentation of research results at scientific conferences and publication in peer-reviewed journals.

• Completed university degree (Master’s or equivalent) in medical physics, computer science, physics, biomedical engineering, or a related field.
• Strong interest in medical imaging and AI applications in healthcare.
• Practical experience with Python and machine learning frameworks (e.g., PyTorch, TensorFlow).
• Background in nuclear medicine or SPECT/CT is a plus, but not mandatory.
• Excellent command of English (written and spoken); knowledge of German is advantageous.

• Aus- und Weiterbildung in der eigenen Akademie
• Betriebliche Altersvorsorge
• Flexible Arbeitszeiten dank Gleitzeitregelung
• Sehr gutes Betriebsklima in einem hochmotivierten und kollegialen Team
• Sport- und Fitnessangebote
• Mitarbeiterevents
• Mitarbeiter Angebote