Niki Rashidian

Ghent University, a leading institution in Belgium, invites applications for a doctoral fellowship in the Department of Human Structure and Repair, in collaboration with Orsi Academy—a renowned international center for surgical innovation and expertise in minimally invasive surgery. This position is based in Melle, Belgium, and offers a unique opportunity to join an international, interdisciplinary research team focused on advancing robot-assisted surgery and telesurgery training. The research project centers on developing and validating objective performance metrics for proficiency-based training in robotic surgery and telesurgery. Surgical procedures will be systematically deconstructed into phases, key steps, critical errors, and performance metrics using international expert consensus and validation methods. The candidate will quantify surgical performance from video analysis, simulator data, and telesurgical platforms, translating these metrics into training models and curricula for objective, proficiency-based progression and standardized skill acquisition. The project aims to establish reliable benchmarks for skill assessment and training progression, with applications in real-time feedback systems and remote surgical environments. Later stages may involve computer vision models for automated performance assessment and feedback, contributing to scalable, data-driven training programs that enhance surgical performance, standardization, and patient safety. Responsibilities include drafting study protocols, submitting requests to the ethical committee, developing performance metrics and assessment frameworks, designing and conducting validation studies, collecting and analyzing surgical performance data, translating metrics into training models, supporting integration into curricula, collaborating with clinical and technical partners, contributing to computer vision model development, supporting automated feedback systems, assisting in robotic surgical skills training sessions, reporting and presenting research results, and publishing in peer-reviewed journals. Applicants must hold or expect to hold a medical degree (MD or equivalent) by September 2026. A strong interest in robot-assisted surgery, surgical innovation, training, education, simulation, and telesurgery is essential. Enrollment in a general surgery residency is a significant asset but not mandatory. Candidates should possess strong analytical skills, some experience or willingness to develop research methodologies and data analysis skills, excellent command of English (written and oral), academic writing and presentation skills or willingness to learn, self-learning ability, creative and inquisitive attitude, and ability to work in an international, multicultural team. Willingness to travel internationally and work flexible hours is expected. The fellowship is a full-time position for an initial period of 12 months, renewable up to a maximum of 48 months upon favorable evaluation. The salary is 100% of the net AAP member salary, determined by family status and seniority, and is tax-free. Ghent University staff enjoy numerous benefits, including training opportunities, 36 days of holiday leave, bicycle allowance, and eco vouchers. To apply, send your CV, diploma (if available), motivation letter, and PDF of your Master’s Thesis to [email protected] before the deadline of June 30, 2026. Late applications will not be accepted. For further information, contact Prof. Niki Rashidian at [email protected]. Applications can also be submitted via the provided application link. Ghent University is committed to equal opportunities and diversity, encouraging all qualified candidates to apply.

Call for Applications: Doctoral Fellow in Surgical Innovation & Robotics at Ghent University , in collaboration with Orsi Academy in Belgium. This is a fully funded PhD (tax-free fellowship) focused on robot-assisted surgery , telesurgery , surgical training , simulation , AI , and computer vision for automated feedback and objective performance assessment. The project sits in the Department of Human Structure and Repair and aims to improve surgical training and patient safety by developing objective metrics for robotic surgery, data-driven training systems, and evaluation frameworks. The role includes designing and conducting research studies, collecting and analysing clinical and simulation data, developing training models, contributing to AI-based surgical assessment tools, publishing research, presenting at conferences, and supporting training sessions at Orsi Academy. Eligibility highlights: applicants should hold a medical degree (MD or equivalent) , have a strong interest in general surgery, robotic surgery, simulation, and innovation, and demonstrate strong analytical and research skills. Excellent English (written and spoken) is required. Enrolment in a surgical residency programme is an advantage, as is experience with research methods, data analysis, and clinical or surgical environments. Funding and duration: the position offers a fully funded PhD with a tax-free fellowship, an initial 1-year contract extendable up to 4 years, plus 36 days annual leave and benefits. The start date is from 1 September 2026 . Application deadline: 30 June 2026 . To apply, email your application to [email protected] and include your CV, diploma, motivation letter, and master’s thesis (PDF). Research keywords: surgical innovation, robotic surgery, telesurgery, surgical training, simulation platforms, AI-based feedback, computer vision, clinical research, patient safety, medical technology.