Development of Advanced Techniques for Emergency Robotic Catheterization

KU Leuven; Vlaams-Brabant; Sur place; EUR 34 000 - 42 000; Plein temps

Avantages offerts par ce poste

Fully funded PhD

Teaching assistant exposure

International research environment

Résumé du poste

KU Leuven, Department of Mechanical Engineering, seeks candidates for a fully-funded PhD position in emergency robotic catheterization. The project advances robotic catheterization technologies with novel sensing, control, and instrument coordination for fast, safe navigation under emergency constraints, including collaboration with EU PROMPT.

Required: Master’s degree in engineering or computer science with distinction, strong problem-solving, and ability to work in a highly international

Qualifications

• Master’s degree in engineering or computer science with distinction cum laude or equivalent.
• Ambitious and driven, while being an effective team player.
• Strong practical problem-solving skills.
• Capable of working independently and thinking critically.

Connaissances

Team player

Problem solving

Independent thinking

Formation

Master's degree in engineering or computer science

Description du poste

Development of Advanced Techniques for Emergency Robotic Catheterization

The Robot Assisted Surgery (RAS) group at the department of Mechanical Engineering of KU Leuven is a dynamic, multi-disciplinary research group focusing on surgical robotics, medical devices, haptics, virtual and augmented reality. The group has links with micro-precision manufacturing, mechanical design, robotics, smart instrumentation and biomedical research groups in the department of mechanical engineering. Over the years (RAS was founded in 2001 by Prof. H. Van Brussel), the group has collected a unique research infrastructure. The group maintains tight and multiple collaborations with UZ Leuven, the largest (university) hospital in Belgium, which is located at 10 minutes ride (bicycle) of the department. The group's purpose is to develop innovative solutions addressing real surgical needs and to verify and validate these developments in realistic settings. RAS is highly involved in various national and international collaborations both as partner and as coordinator of EU-funded projects

An increasing number of medical interventions are performed using catheter-based techniques, offering major benefits to patients, including shorter hospital stays, reduced invasiveness, and fewer surgical scars. However, these procedures often rely on fluoroscopic X-ray imaging, exposing clinicians to ionizing radiation during prolonged interventions. To reduce this occupational exposure, clinicians typically wear heavy lead aprons, which can impose a substantial ergonomic burden and contribute to long-term musculoskeletal problems. Moreover, fluoroscopic imaging provides limited three-dimensional information, making the navigation of complex vascular anatomy challenging. These limitations have stimulated the development of robotic catheterization systems that allow clinicians to operate from a distance, outside the main X-ray field. Yet, current robotic solutions are not sufficiently optimized for time-critical and highly complex emergency procedures, such as mechanical thrombectomy for acute stroke. Mechanical thrombectomy requires exceptional expertise to navigate multiple guidewires and catheters through intricate vascular anatomy in a coordinated, precise, and atraumatic manner. This PhD will develop advanced robotic catheterization technologies, integrating novel sensing, control, and instrument coordination strategies. The research will focus on enabling fast, safe, and reliable navigation of multiple instruments under the demanding constraints of emergency intervention. Ultimately, the project aims to establish a new generation of robotic catheterization systems that reduce radiation and operator burden while improving the safety, reliability, and accessibility of complex life-saving interventions.

Profile

We are seeking highly motivated and result-oriented candidates which :

• hold a Master’s degree in engineering or computer science, obtained with distinction cum laude or equivalent excellent academic results, in a relevant field such as mechatronics, robotics, control engineering, mechanical engineering, deep learning, medical imaging, or a related discipline. The degree and academic record should meet the admission requirements for the PhD programme at the KU Leuven Arenberg Doctoral School;
• are ambitious and driven, while being, above all, an effective team player;
• have demonstrated strong practical problem-solving skills;
• are highly motivated, capable of working independently, and able to think critically.

Offer

The Department of Mechanical Engineering, Faculty of Engineering Technology at the University of Leuven (KU Leuven) is pleased to offer:

• a fully-funded PhD position (typically a PhD is 4 years);
• exposure to academic tasks through teaching assistant (capped to 10% of the working hours);
• embedding in a highly international state-of-the-art research environment in a dynamic team with an emphasis towards valorization and clinical validation;
• involvement/link to EiC PROMPT project.

Note that the PhD salary in Belgium is similar or higher than the salary of a starting engineer in industry.

KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.

location_city Locatie: Leuven