Jiapan Guo
3 days ago
PhD in Machine Learning for Medical Video Analysis in Cancer Treatment University of Groningen in Netherlands
I am recruiting a PhD student in machine learning for medical video analysis in cancer treatment at the University of Groningen.
University of Groningen
Netherlands
Dec 31, 2025
Keywords
Description
The University of Groningen is offering a fully funded PhD position in the field of machine learning for medical video analysis, specifically targeting innovations in cancer treatment. The successful candidate will join the Intelligent Systems Group at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, within the Faculty of Science and Engineering. The research is part of the Interreg PRECISE project, a large cross-border European initiative focused on precision cancer surgery.
The PhD project centers on developing real-time machine learning and deep learning algorithms for the analysis of fluorescence-guided endoscopic videos. The primary goal is to design systems capable of reliably detecting weak fluorescence signals in soft tissues, which are used to mark tumors and lymph nodes during minimally invasive cancer surgeries. The work will involve creating automated systems for video analysis, integrating algorithms into real-time prototypes, and collaborating closely with surgeons, industrial partners, and an interdisciplinary research consortium.
Applicants should have a Master’s degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Applied Mathematics, or a related field. Strong programming skills and experience with machine learning and deep learning frameworks (such as PyTorch) are required. Interest in medical imaging, computer vision, or video analysis, as well as excellent English communication skills, are essential. The position is ideal for candidates motivated to work in an international, interdisciplinary environment.
The PhD appointment is for four years, with an initial one-year contract and the possibility of renewal for three additional years based on satisfactory progress. The gross monthly salary ranges from €3,059 to €3,881, with additional benefits including 232 vacation hours per year (based on a 38-hour workweek), an 8.3% end-of-year bonus, and an 8% holiday allowance. The successful candidate will be enrolled in the Graduate School of Science and Engineering and is expected to spend 10% of their time on teaching or supervision duties.
The University of Groningen is a top 100 global university, known for its open academic community and inclusive, international research environment. The Faculty of Science and Engineering covers a wide range of disciplines and values collaboration with industry, healthcare, and societal partners. The Bernoulli Institute and the Intelligent Systems Group provide a vibrant setting for research at the intersection of artificial intelligence, computer vision, and medical technology.
To apply, candidates should submit a letter of motivation, CV, and transcripts via the University of Groningen’s online application portal. The application deadline is December 31, 2025. For more information about the position, applicants may contact Dr. Jiapan Guo ([email protected]). For questions about the application process, contact Femke Postma ([email protected]).
Funding
The position offers a gross monthly salary between €3,059 and €3,881 for a full-time contract, in accordance with the Dutch universities' collective labor agreement. Additional benefits include 232 vacation hours per year (based on a 38-hour workweek), an end-of-year bonus of 8.3%, and an 8% holiday allowance. The initial contract is for one year, with the possibility of renewal for three more years, contingent on satisfactory progress. Enrollment in the Graduate School of Science and Engineerin
How to apply
Apply online via the provided University of Groningen vacancy link. Submit a letter of motivation, CV, and transcripts. After application, you will receive a confirmation email. The selection committee will respond within two weeks after the closing date.
Requirements
Applicants must have a Master’s degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Applied Mathematics, or a related field. Strong programming skills and experience with machine learning and deep learning frameworks such as PyTorch are required. Interest in medical imaging, computer vision, or video analysis is expected. Excellent written and spoken English communication skills and motivation to work in an interdisciplinary, international environment are essential.
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