PhD Student: AI-Enhanced PET Imaging & Attenuation

Region Hovedstaden; København; On-site; DKK 360,000 - 420,000; Full time

Benefits offered by this job

Fully funded PhD

International mentoring

Secondments with partners

Job summary

Region Hovedstaden offers a three-year, full-time PhD position embedded in the PhD program at the University of Copenhagen. The project focuses on PET imaging using AI to develop and validate AI-based attenuation correction methods for artifact-free, time-matched estimates and improved ultra-low-dose imaging.

Work will be at Rigshospitalet in the DEPICT AI and image analysis section, with international secondments and collaboration across academia and industry.

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.
• 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 the DEPICT AI and image analysis section and collaborate with doctors, engineers and researchers.
• Engage in Marie Skłodowska-Curie Doctoral Network activities with international mentoring.
• Work with advanced AI models for PET quantification related to motion artifacts and attenuation correction.
• Participate in planned secondments with partner universities and industry.

Skills

Python

AI development

Deep learning

Medical imaging

English communication

Team collaboration

Independent work

Willingness to travel

Education

Master's degree

Tools

Python

AI frameworks

Job description

Region Hovedstaden offers a three-year, full-time PhD position embedded in the PhD program at the University of Copenhagen. The project focuses on PET imaging using AI to develop and validate AI-based attenuation correction methods for artifact-free, time-matched estimates and improved ultra-low-dose imaging.

Work will be at Rigshospitalet in the DEPICT AI and image analysis section, with international secondments and collaboration across academia and industry.