→ Apply before 09/08/2026 (DD/MM/YYYY) 23:59 (Brussels Time)
→ Faculty of Engineering and Architecture
→ Department: EA06 - Elektronica en Informatiesystemen
→ Occupancy rate: 100%
→ Number of positions: 1
→ Type of employment: Contract of limited duration
→ Term of assignment: 22 months
→ Wage scale: PD1 to PD4 (doctoral degree)
→ Required diploma: PhD
Postdoctoral Researcher in Multimodal AI for Data-Driven Prostate Cancer Radiotherapy with an Entrepreneurial Mindset
ABOUT GHENT UNIVERSITY
Ghent University is a world of its own. Employing more than 15,000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities. With its 11 faculties and more than 80 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.
RESEARCH PROJECT
You will work on an FWO-funded fundamental research project on the personalisation of prostate cancer radiotherapy using multimodal data and computational methodologies. The project is embedded in an ongoing clinical trial at Ghent University Hospital and is supervised by a multidisciplinary team consisting of Prof. Brent van der Heyden, Prof. Valérie Fonteyne (radiation oncologist), and Dr. Evelien Bogaert (radiotherapy medical physics expert). The research is conducted in close collaboration with Prof. Ioulia Tzouvadaki (nanotechnology) and Prof. Mieke Adriaens (electrochemistry). You will also collaborate with UGent’s valorisation officers and business developers on IP protection and economic valorisation.
YOUR TASKS
- Design, implement, and validate AI-based multimodal data processing algorithms to support the personalisation of radiotherapy, integrating imaging, clinical, and treatment data into predictive and decision-support models.
- Contribute to the development of a valorisation pathway for biosensing and software solutions to facilitate clinical translation, including technology maturation, stakeholder engagement, and preparation of funding applications in collaboration with the PI.
WHAT WE ARE LOOKING FOR
- You hold a PhD (thesis-based) with multidisciplinary expertise in one or more of the following areas: multimodal data processing, medical image analysis, biosensing, artificial intelligence, radiotherapy, or predictive medicine.
- Candidates in the final year of their PhD are also encouraged to apply, provided they will obtain their doctoral degree soon.
- You have an entrepreneurial mindset and are motivated to translate research innovations into clinical applications, valorisation pathways (e.g. spin-off), or collaborative initiatives.
- You demonstrate English proficiency at a minimum C1 level (CEFR) or equivalent, evidenced by a recognised certificate or prior academic/professional experience in an English-speaking environment. Proficiency in Dutch is considered an asset for communication with society-facing stakeholders (including patient organisations), and the electronic patient record
- You communicate clearly and confidently, including strong public speaking skills and the ability to convey enthusiasm for research.
WHAT WE CAN OFFER YOU
INTERESTED?
Apply online through the e-recruitment system before the application deadline (see above). We do not accept late applications or applications that are not submitted through the online system.
Your application must include the following documents:
- In the field ‘CV’: your CV and a transcript of your academic record (merged into one pdf file)
- In the field ‘Cover letter’: your application/motivation letter in pdf format, prepared without the use of generative AI
- In the field ‘Diploma’: a transcript of the required degree (if already in your possession). If you have a foreign diploma in a language other than our national languages (Dutch, French or German) or English, please add a translation in one of the mentioned languages.
The use of generative AI for the preparation of the application documents is strongly discouraged.
The selection process will consist of an initial screening based on the submitted documents, followed by an additional round of (online) interviews by invitation.
MORE INFORMATION
For more information about this vacancy, please contact Prof. Brent van der Heyden ([email protected]).
Important: do NOT send your application by email, but apply online.
Do you have a question regarding the online application process? Please read the FAQ or contact us via [email protected].
