Call for applications for a fully financed PhD fellowship
Aarhus University and Aarhus University Hospital are inviting for applications for a 3-year fully funded research position as medical physics PhD student, for enrolment in the PhD program at The Graduate School of health, Aarhus University, Denmark. The PhD study will be part of the EU-funded RAPTORplus Marie-Sklodowska-Curie-Action EU Doctoral Network.
PLEASE NOTE THAT ONLY APPLICANTS WHO ALREADY APPLIED AND WERE ACCEPTED THROUGH THE RAPTORplus CONSORTIUM WEBSITE ARE ELIGIBLE FOR ENROLMENT IN THIS POSITION.
The overall aim of the RAPTORplus project is to enable “Right-time Adaptive Particle Therapy Of canceR” with treatment personalisation through anatomical PLUS biological adaptation (https://raptor-consortium.com/).
In this PhD project, AI-based methods will be developed to distinguish between anatomical and biological components of daily image changes, as well as methods for subsequent corresponding dose optimization.
The PhD student will be supervised by Professor of Medical Physics Stine Korreman and will be embedded in the interdisciplinary research group "AI and big data in Radiation Oncology". The group is part of the joint oncology research environment at Aarhus University Hospital and housed at the Danish Center for Particle Therapy. The research environment is well-established and of highest international standard, with research activities in radiation oncology bridging translational and clinical research.
The PhD study will include secondments at the Norwegian University of Science and Technology - NTNU (Norway) and Politecnico di Milano (Italy), as well as with an international industrial partner.
As part of the RAPTORplus consortium, there will furthermore be collaboration with other PhD students not only at Aarhus University but also at the other institutions involved in the project.
The candidate should have a MSc degree in physics/mathematics/data science with a strong programming profile. Prior experience with deep learning for image analysis/generation will be considered a strength. Python programming experience likewise.
Furthermore the following skills will be considered essential:
Fluency in English (oral and written).
Analytical skills and ability to work independently on a project basis.
Research interests and ambitions for excellence in data driven science.
Good communication skills relevant for working in an international research group.
Please submit your application via this link. Application deadline is 8 May 2026 23:59 CET. Preferred starting date is 1 September 2026.
For information about application requirements and mandatory attachments, please see our application guide.
Please contact Professor Stine Sofia Korreman, stine.korreman@clin.au.dk, for more information.
All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.
