PhD Candidate – AI-Driven PET Imaging & Quantification

Rigshospitalet

Region Hovedstaden

On-site

DKK 360,000 - 480,000

Full time

12 days ago
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Job summary

Rigshospitalet, in the Department of Nuclear Medicine, invites applications for a 3-year, full-time PhD position funded by the MSCA Doctoral Network. The project focuses on AI-driven PET attenuation correction to enable ultra-low-dose PET and improved quantitative analysis.

You will join the DEPICT AI and image analysis section, collaborate with computer scientists, engineers, physicists and medical doctors, and undertake international secondments across European partner institutions.

Qualifications

  • 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.
  • Strong collaboration skills.
  • Knowledge of medical image data will be an advantage.
  • Willingness to travel and flexibility.

Responsibilities

  • Work at Rigshospitalet, Department of Nuclear Medicine.
  • Join DEPICT AI and image analysis section, collaborating with computer scientists, engineers, physicists and medical doctors.
  • Participate in the Marie Skłodowska-Curie Doctoral Network with international mentoring.
  • Develop AI models addressing PET quantification, motion artifacts and attenuation correction.
  • Coordinate one-month secondments with University of Bern, University of Amsterdam and Siemens Healthineers for integration and repeatability studies.

Skills

Independence
English communication
Python programming
AI/deep learning
Collaboration
Travel willingness

Education

Master’s degree in CS/Physics/Biomedical Eng

Tools

Python

Job description

Rigshospitalet, in the Department of Nuclear Medicine, invites applications for a 3-year, full-time PhD position funded by the MSCA Doctoral Network. The project focuses on AI-driven PET attenuation correction to enable ultra-low-dose PET and improved quantitative analysis.

You will join the DEPICT AI and image analysis section, collaborate with computer scientists, engineers, physicists and medical doctors, and undertake international secondments across European partner institutions.

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