Anja Braune
10 months ago
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PhD Position in PET Image Reconstruction and Dual-Tracer Medical Imaging Helmholtz-Zentrum Dresden-Rossendorf in Germany
Degree Level
PhD
Field of study
not provided
Funding
Salary and social benefits are provided in accordance with the collective agreement for the public sector (TVöD-B und), including 30 days of paid holiday leave, company pension scheme (VBL), employer subsidy for the 'Deutschland-Ticket Jobticket', and access to company health management offerings and employee discounts. The position supports work-life balance with options for part-time employment, mobile working, and flexible hours.
Deadline
Expired
Country
Germany
University
Helmholtz-Zentrum Dresden-Rossendorf
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About this position
The Department of Positron Emission Tomography at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) is recruiting a PhD student to work on the development and evaluation of PET image reconstruction methods for simultaneous clinical dual-tracer PET imaging. This interdisciplinary project aims to advance medical PET imaging by enabling the separation and quantification of two radiotracers in a single scan, which could significantly improve cancer diagnosis and treatment planning. The research involves collaboration with Forschungszentrum Jülich and focuses on developing, adapting, and implementing advanced image reconstruction algorithms using in-house software and Monte Carlo simulation methods.
The successful candidate will validate these methods on clinical PET phantom data and work closely with scientific and clinical partners throughout the project. Applicants should have a strong background in medical physics, physics, computer science, or medical engineering, with proficient programming skills (C++, Python), experience in statistical computing (R, MATLAB), and knowledge of Monte Carlo simulations and medical image reconstruction.
The position offers a vibrant research community, structured PhD program, salary and benefits according to public sector agreements, and support for work-life balance. Applications should be submitted online with all required documents. The project is subject to final sponsor approval.
Funding details
Salary and social benefits are provided in accordance with the collective agreement for the public sector (TVöD-B und), including 30 days of paid holiday leave, company pension scheme (VBL), employer subsidy for the 'Deutschland-Ticket Jobticket', and access to company health management offerings and employee discounts. The position supports work-life balance with options for part-time employment, mobile working, and flexible hours.
What's required
Applicants must hold an excellent Master’s or Diploma degree in medical physics, physics, computer science, medical engineering, or a closely related field. Strong interest in data science and quantitative medical imaging is required. Proficient programming skills in at least one object-oriented language (e.g., C++, Python) and broad understanding of programming paradigms including object-oriented design, template programming, and multithreaded development are essential. Experience with statistical computing environments such as R or MATLAB is required. Knowledge of Monte Carlo simulation methods using the Geant4 framework, medical image reconstruction principles, and high-performance computer simulations in physics is beneficial. Experience in working with medical imaging data, especially PET, and data science is desirable. Excellent teamwork, communication skills, motivation, self-discipline, and excellent command of spoken and written English are required.
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