Fully-funded PhD in Computer Science – “AI-assisted needle interventions”

  • Contract
  • France
  • Posted 1 month ago

University of Strasbourg


Passionate about advancing the frontiers of computer science and healthcare technology? 

The ICube laboratory at the University of Strasbourg is seeking a highly motivated and talented candidate to join our cutting-edge research on AI-assisted needle interventions. In this PhD position, you will work on pioneering algorithms that leverage the innovative articulated ARC needle for more precise and efficient medical procedures. Join our dynamic team of experts, pushing the boundaries of computer science and healthcare innovation. Make a lasting impact on the future of medical technology. Apply now and be part of a transformative journey in the beautiful city of Strasbourg!

The general framework of the research project is computer assistance to preoperative surgical planning, for an optimal placement of flexible needles.

The PhD project focuses on AI-assisted needle interventions using the new articulated «ARC needle», to develop methods dedicated to flexible needles and non-linear trajectories. It aims to facilitate their use by surgeons, promote their deployment and adoption in hospitals, and ultimately pave the way for roboticassisted insertion to improve efficacy and performance. It will cover both automated preoperative planning of one or more articulated needle trajectories, and intraoperative real-time trajectory correction using augmented reality.

Qualification and skills

We are looking for dynamic and motivated candidates with an MSc degree in Computer Science or equivalent. Strong programming skills in python and/or C++ are required. Knowledge and experience with computer graphics, image processing, optimization techniques, augmented reality, or related fields as well as advanced machine learning approaches such as deep learning is an advantage. You should be able to work in a multi-disciplinary team, interested in interdisciplinary applied research, and have a good oral and written proficiency in English. Strong theoretical skills and affinity with experimental work are required. 

See details on: https://bit.ly/PhDposition-ARC

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