Position as a doctoral candidate
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This is a 3-year full-time PhD position with enrollment in the PhD program at the Faculty of Health and Medical Sciences, University of Copenhagen. The successful candidate will contribute to research that seeks to improve the quality, accuracy, and clinical utility of positron emission tomography (PET) imaging using artificial intelligence (AI). Specifically, the PhD project will focus on developing and validating PET emission-derived AI-based attenuation correction methods that enable artifact-free, time-matched attenuation estimates and support ultra-low-dose PET imaging and improved quantitative analysis.
Tasks Include
- You will work at Rigshospitalet, Department of Nuclear Medicine
- You will join the DEPICT AI and image analysis section, and work with our group of computer scientists, engineers, physicists and medical doctors.
- You will join Marie Skłodowska-Curie Doctoral Network PREFERENCE, including international mentoring and exposure to both academic and industrial research environments.
- You will work with advanced AI models to address PET quantification related to motion artifacts and attenuation correction.
- A secondment at Siemens Healthineers, Knoxville is planned for reconstruction integration.
Qualifications
- A master’s degree in computer science, physics, biomedical engineering or equivalent
- Ability to work independently
- "Excellent written and verbal communication skills in English"
- Good programming skills; Python experience is a plus
- Experience with AI development with focus on deep learning and images
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