PhD Researcher in Medical Physics and Image Reconstruction | PhD Student (f/m/d) to work on the Development and Evaluation of Image Reconstruction Methods for Si
HELMHOLTZ-ZENTRUM DRESD EN-ROSSENDORF E.V.
Job Summary
This doctoral position focuses on the development and evaluation of innovative image reconstruction methods for simultaneous clinical dual-tracer PET imaging. Working at the Institute of Radiopharmaceutical Cancer Research, the successful candidate will develop advanced algorithms to separate two simultaneously acquired radiotracers into distinct images from a single PET scan. Day-to-day tasks involve implementing these algorithms within a modular C++-based reconstruction framework, conducting GATE-based Monte Carlo simulations, and validating methods on clinical PET phantom data using a new total-body PET scanner. Candidates must hold a Master’s degree in Physics, Medical Engineering, or Computer Science and possess strong object-oriented programming skills. This role offers a unique opportunity to bridge the gap between methodological development and clinical application within a vibrant, international research community. The position is part-time (19.5 hours/week) for 36 months and includes a structured PhD program with extensive networking and professional development opportunities in Dresden.
Required Skills
Education
Master's degree or Diploma in Medical Physics, Physics, Computer Science, Medical Engineering, or a closely related field.
Experience
- Professional experience in software development using object-oriented languages such as C++ or Python
- Experience in working with medical imaging data, specifically PET, is highly desirable
- Proven experience with high-performance computer simulations in a physics context
- Experience with Monte Carlo simulation methods using the Geant4 framework is beneficial
- Demonstrated ability to conduct independent research and work effectively in interdisciplinary teams
Languages
Additional
- The position is limited to 36 months with a weekly working time of 19.5 hours. Located in Dresden-Rossendorf. Requires the ability to work in a cluster-optimized environment.
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