Valérie Fonteyne

Ghent University invites applications for a postdoctoral researcher position in multimodal AI for data-driven prostate cancer radiotherapy. This FWO-funded project is embedded in an ongoing clinical trial at Ghent University Hospital and aims to personalize cancer radiotherapy using advanced computational methodologies and multimodal data integration. The research is supervised by a multidisciplinary team including Prof. Brent van der Heyden, Prof. Valérie Fonteyne (radiation oncologist), Dr. Evelien Bogaert (medical physics expert), Prof. Ioulia Tzouvadaki (nanotechnology), and Prof. Mieke Adriaens (electrochemistry). The successful candidate will design, implement, and validate AI-based algorithms for processing imaging, clinical, and treatment data, supporting the development of predictive and decision-support models for personalized radiotherapy. The role also involves contributing to the valorization pathway for biosensing and software solutions, facilitating clinical translation, technology maturation, stakeholder engagement, and preparation of funding applications in collaboration with the PI and business developers. Applicants must hold a PhD (or be in the final year of their PhD) in a relevant field such as multimodal big data processing, artificial intelligence, statistical analysis, radiotherapy, or predictive medicine. A strong interest in biosensing technologies and the integration of signals is essential. Candidates should demonstrate English proficiency at a minimum C1 level (CEFR) or equivalent, strong communication and public speaking skills, and an entrepreneurial mindset with motivation to translate research into clinical applications and valorization pathways. The position offers a 22-month contract at 100% employment, with remuneration according to salary scale PD1 to PD4. Ghent University provides a comprehensive benefits package, including training opportunities, 36 days of holiday leave, bicycle allowance, and eco vouchers. The earliest start date is 1 April 2026. To apply, candidates must submit their application online via the Ghent University e-recruitment system before 25 March 2026. Required documents include a CV and academic transcript, cover letter (without generative AI), diploma (with translation if necessary), a list of three references, and a brief position piece outlining their vision on the role of multimodal AI in healthcare. Applications will be reviewed on a rolling basis until the position is filled. For further information, contact Prof. Brent van der Heyden at [email protected] (please do not send applications by email).

Ghent University invites applications for a postdoctoral researcher in Multimodal AI for Data-Driven Prostate Cancer Radiotherapy. This FWO-funded position is based in the Faculty of Engineering and Architecture, Department of Electronics and Information Systems, and is embedded in an ongoing clinical trial at Ghent University Hospital. The successful candidate will join a multidisciplinary team led by Prof. Brent van der Heyden, Prof. Valérie Fonteyne (radiation oncologist), and Dr. Evelien Bogaert (medical physics expert), with collaborations involving Prof. Ioulia Tzouvadaki (nanotechnology) and Prof. Mieke Adriaens (electrochemistry). The research focuses on developing and validating AI-based multimodal data processing algorithms to personalize radiotherapy for prostate cancer patients. The project integrates imaging, clinical, and treatment data into predictive and decision-support models, aiming to facilitate clinical translation and valorization of biosensing and software solutions. The role includes technology maturation, stakeholder engagement, and preparation of funding applications in collaboration with the principal investigator. Applicants must hold a PhD (or be in the final year of their PhD) in a relevant field such as multimodal big data processing, artificial intelligence, statistical analysis, radiotherapy, or predictive medicine. A strong interest in biosensing technologies is essential. Candidates should demonstrate an entrepreneurial mindset, motivation for clinical translation, and strong communication skills. English proficiency at a minimum C1 level (CEFR) is required, evidenced by a recognized certificate or relevant experience. Application documents must be prepared without the use of generative AI. The position offers a 22-month contract at 100% employment, with remuneration according to salary scale PD1 to PD4. Ghent University provides a comprehensive benefits package, including training opportunities, 36 days of holiday leave, bicycle allowance, and eco vouchers. The contract is expected to start on or after 1 April 2026. To apply, candidates must submit their application online via the Ghent University e-recruitment system before 25 March 2026. Required documents include a CV and academic transcript, cover letter, diploma (with translation if necessary), a list of three references, and a brief position piece outlining their vision on the role of multimodal AI in healthcare. Applications will be reviewed on a rolling basis until the position is filled. For further information, contact Prof. Brent van der Heyden at [email protected] (applications by email are not accepted).

Ghent University invites applications for a postdoctoral researcher position in Multimodal AI for Data-Driven Prostate Cancer Radiotherapy. This FWO-funded project aims to advance the personalisation of prostate cancer radiotherapy by leveraging multimodal data and computational methodologies. The research is embedded in an ongoing clinical trial at Ghent University Hospital and is supervised by a multidisciplinary team including Prof. Brent van der Heyden, Prof. Valérie Fonteyne (radiation oncologist), and Dr. Evelien Bogaert (medical physics expert), with close collaboration from Prof. Ioulia Tzouvadaki (nanotechnology) and Prof. Mieke Adriaens (electrochemistry). The successful candidate will design, implement, and validate AI-based multimodal data processing algorithms to support personalised radiotherapy, integrating imaging, clinical, and treatment data into predictive and decision-support models. The role also involves contributing to the development of valorisation pathways for biosensing and software solutions, facilitating clinical translation, technology maturation, stakeholder engagement, and preparation of funding applications in collaboration with the principal investigator. Applicants must hold a thesis-based PhD or be in the final year of their PhD with expertise in one or more of the following areas: multimodal data processing, medical image analysis, biosensing, artificial intelligence, radiotherapy, or predictive medicine. Candidates should demonstrate an entrepreneurial mindset and motivation to translate research innovations into clinical applications, spin-offs, or collaborative initiatives. English proficiency at a minimum C1 level (CEFR) or equivalent is required, 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 patient organisations and society-facing stakeholders. Strong communication and public speaking skills are expected. The position offers a contract of definite duration for 22 months, starting as early as 15 June 2026. Remuneration is determined by salary scale PD1 to PD4 (doctoral degree). Ghent University provides a comprehensive benefits package, including training and education opportunities, 36 days of holiday leave (for full-time staff), annual fixed bridge days, bicycle allowance, and eco vouchers. To apply, candidates must submit their application online via the Ghent University e-recruitment system before the deadline of 31 May 2026. Required documents include a CV and academic transcript (merged into one PDF), a cover letter in PDF format (prepared without generative AI), and a transcript of the required degree (with translation if not in Dutch, French, German, or English). The selection process consists of an initial screening based on submitted documents, followed by online interviews for shortlisted candidates. For further information, contact Prof. Brent van der Heyden at [email protected]. Please note that applications sent by email will not be considered. This opportunity is ideal for candidates seeking to contribute to cutting-edge research in biomedical engineering, medical science, and computer science, with a focus on clinical translation and innovation in cancer radiotherapy.