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Last application date Jun 30, 2026 23:59
Department GE38 - Department of Human Structure and Repair
Degree Master
Occupancy rate 100%
Vacancy type Research staff
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 85 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.
ABOUT ORSI ACADEMY
Orsi Academy is a leading international center for surgical innovation and expertise in minimal invasive surgery. Bringing together clinicians, researchers and engineers, Orsi operates at the forefront of surgical innovation and education. Through strong collaborations with academic institutions and industry partners, Orsi offers a dynamic and multidisciplinary work environment with a direct impact on the future of surgical care and patient safety worldwide.
For our international interdisciplinary education team focused on the development of training programs for robot-assisted surgery, we are looking for a motivated research assistant. This is a full-time, one-year position that is renewable once (upon a favorable evaluation) for a maximum total period of four years. The ultimate goal of this trajectory is to obtain a PhD degree.
The candidate will work as a doctoral researcher at the facilities of Orsi Academy, Melle, Belgium. The researcher is expected to join an international interdisciplinary research team and, in collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of Robot-assisted Surgery and Telesurgery Training.
Research Topic:
This project focuses on the development and validation of objective performance metrics for proficiency-based training in robotic surgery and telesurgery. Surgical procedures will be systematically deconstructed into surgical phases, key steps, critical errors, and performance metrics through international expert Delphi consensus and validation methods.
Building on this framework, surgical performance derived from video analysis, simulator data and telesurgical platforms will be quantified using structured metrics. These metrics will be translated into training models and curricula, enabling objective, proficiency-based progression and standardized skill acquisition.
The project aims to establish reliable, objective metrics and benchmarks for skill assessment and training progression, and to explore their application in real-time feedback systems and remote surgical environments.
In later stages, these structured datasets and metrics may also support the development and evaluation of computer vision models for automated performance assessment and feedback.
Ultimately, this research will contribute to the creation of scalable, data-driven training programs that enhance surgical performance, standardization and patient safety across robotic and telesurgical practice.
Responsibilities:
Send your cv, copy of your diploma (if already in your possession), a motivation letter and a PDF version of your Master’s Thesis to [email protected]
We do not accept late applications.
As Ghent University maintains an equal opportunities and diversity policy, everyone is encouraged to apply for this position.
For more information about this vacancy, please contact prof. Niki Rashidian [email protected], +32(0)933 25957.
Ghent University is one of the top 100 universities in the Dutch language area, with more than 44,000 students and 15,000 staff members.
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