Christian Rønn Hansen
4 months ago
Data science and clinical oncology Odense University Hospital (OUH) and the University of Southern Denmark (SDU) in Denmark
Degree Level
PhD
Field of study
Oncology
Funding
The position is funded by the Novo Nordisk Foundation’s Grand AI Challenge and the Danish Cancer Society. Funding covers salary/stipend and research expenses. Details on stipend amount and tuition coverage are not specified, but the project is described as a major national initiative with substantial support.
Deadline
Oct 1, 2026
Country
Denmark
University
Odense University Hospital and University of Southern Denmark
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About this position
We are opening a PhD position in Artificial Intelligence for Radiotherapy of head and neck cancer at Odense University Hospital (OUH) and the University of Southern Denmark (SDU).
This is not “just another PhD” — it’s a chance to:
? Work at the interface of AI and oncology, directly impacting cancer patients
? Join the AIM@cancer initiative, one of Denmark’s largest AI research efforts in healthcare
? Collaborate with leading clinicians, physicists, and data scientists across national and international networks
If you’re excited about big data, medical imaging, and AI that truly matters, this could be your opportunity to make a difference.
?? Learn more and apply here:
https://lnkd.in/efWsQ4xQ
For background on the project’s vision:
?? SDU News: AI to strengthen radiotherapy
https://lnkd.in/dmbGkfAq
?? Danish Cancer Society: AI paving the way for better treatment
https://lnkd.in/dMn43sHC
Stine Korreman , Ivan Richter Vogelius , Cai Grau , Jens Overgaard , Sarah Stougaard , Harini Veeraraghavan , OUH Odense Universitetshospital – Svendborg Sygehus , DAHANCA , DSKO ,
Funding details
The position is funded by the Novo Nordisk Foundation’s Grand AI Challenge and the Danish Cancer Society. Funding covers salary/stipend and research expenses. Details on stipend amount and tuition coverage are not specified, but the project is described as a major national initiative with substantial support.
What's required
Applicants should have a strong background in artificial intelligence, data science, medical imaging, or a related field. Experience with big data, machine learning, or oncology is highly desirable. A relevant master's degree (or equivalent) is required. Additional skills in programming, statistics, and interdisciplinary collaboration are advantageous. No specific GPA or language test requirements are mentioned.
How to apply
Visit the provided application link to learn more and submit your application. Prepare your CV and supporting documents as required by the online portal. Review the project background via the linked news articles for context. Contact the supervisors for further information if needed.
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I’m really looking forward to collaborating closely with the person who joins! ??