Ghent University invites applications for a full-time Doctoral Fellow position in the field of biosensor development for radiation-induced inflammation in prostate cancer. This prestigious FWO-funded PhD opportunity is hosted within the Centre for Microsystems Technology (CMST, imec-associated) and the Electrochemistry and Surface Analysis (ESA) group, both at Ghent University. The successful candidate will join an interdisciplinary team focused on implementing emerging nanodevices as biosensors to detect and monitor multiple biomarkers associated with radiation-induced inflammation, particularly in the context of prostate cancer treatment. The research will involve the development and validation of new electrochemical sensors for the detection of inflammatory biomarkers related to radiation toxicity. The PhD student will be responsible for designing and executing biosensing experiments, analyzing results, and reporting findings through written reports and oral presentations. The project offers access to state-of-the-art cleanroom facilities and advanced characterization tools, as well as continuous interaction with a collaborative research team. Applicants should hold a Master’s degree in (Bio)Engineering or Chemical/Biochemical/Biomedical/Sciences. Candidates completing their Master’s by June/July 2026 are also eligible. Essential qualifications include practical experience with electrochemistry, sample preparation, and measurement set-ups, as well as fluency in English and strong communication skills. Additional assets are coding skills (Matlab) and experience with scientific writing. The selection process will consider the ranking of the institutions where previous degrees were obtained. The position requires motivation, curiosity, and the ability to work both independently and collaboratively. Willingness to write proposals for national funding is expected. The fellowship offers an initial 12-month contract, extendable up to 48 months upon positive evaluation. The salary is 100% of the net salary of an AAP member, determined by family status and seniority, and is tax-free. Staff benefits include extensive training opportunities, 36 days of annual leave, bicycle allowance, eco vouchers, and a supportive work environment. The anticipated start date is between June 1st and September 1st, 2026. To apply, send your motivation letter, CV, copies of degrees, grade transcripts, English certificate, and contact details of two referees in PDF format by email to Prof. Ioulia Tzouvadaki and Prof. Mieke Adriaens ([email protected] and [email protected]), with the subject line 'PhD position: FWO'. The application deadline is May 1st, 2026. Late applications will not be considered. Ghent University is committed to equal opportunities and diversity, and encourages all qualified candidates to apply. For more information, visit the official application page or contact the supervisors directly. Learn more about CMST at www.cmst.be .

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).