PhD Candidate in PET/CT for infection and inflammation

European Federation Of Organizations For Medical Physics - EFOMP; Groningen; On-site; EUR 30,000 - 42,000; Part time

Job summary

University Medical Center Groningen (UMCG) invites applications for a PhD Candidate in PET/CT focusing on infection and inflammation. The candidate will join the Nuclear Medicine and Molecular Imaging department within a CM network and contribute to cutting-edge imaging methods with clinical impact.

The role involves supervision by leading experts, secondments across European institutions, and opportunities for training, conferences, and publications as part of the doctoral programme.

Qualifications

• MSc in Physics, Medical Physics, Computer Science, AI, Biomedical Engineering, Electrical Engineering or related field.
• Experience with programming (Python or C++) and image analysis is advantageous.

Responsibilities

• Pursue doctoral research within the Marie Sklodowska-Curie Doctoral Network on PET/CT imaging for infection and inflammation.
• Collaborate with international academic and industrial partners and participate in secondments, training activities, conferences and publications.

Skills

Programming (Python/C++)

Image analysis

Education

MSc degree in Physics/Medical Physics/CS/AI/ Biomedical Engineering/EE or related

Job description

PhD Candidate in PET/CT for infection and inflammation

Position: PhD Position

Institution: University Medical Center Groningen (UMCG)

Location: Groningen, The Netherlands

Application closes at: Aug 31st, 2026 23:59

Join the Department of Nuclear Medicine and Molecular Imaging at the University Medical Center Groningen (UMCG) as a PhD candidate within the Marie Sklodowska-CurieDoctoral Network PREFERENCE. The project focuses on advancing PET/CT imaging for the detection of early-stage infection and inflammation.

The successful candidate will work under the supervision of leading experts in molecular imaging and collaborate with an international network of academic and industrial partners. The programme includes secondments at leading European institutions, training activities, conference participation, scientific publications and the development of innovative imaging methods with clinical impact.

Candidates should hold an MSc degree in Physics, Medical Physics, Computer Science, Artificial Intelligence, Biomedical Engineering, Electrical Engineering or a related discipline. Experience with programming (e.g. Python or C++) and image analysis is considered an advantage.

For full details and application instructions, please visit the official vacancy page.