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Post-doctoral Position In Medical Image Processing

ABG-133152 Job Confirmed
2025-08-25 Fixed-term 18 Month > €25,000 and < €35,000 annual gross
Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
Grenoble - Auvergne-Rhône-Alpes - France
Computer science
  • Health, human and veterinary medicine
  • Data science (storage, security, measurement, analysis)
deep learning registration, MRI, Ultrasound, prostate cancer
Research and Development

Employer

The TIMC laboratory gathers scientists and clinicians towards the use of computer science and applied mathematics for understanding and controlling normal and pathological processes in biology and healthcare. This multi-disciplinary activity both contributes to the basic knowledge of those domains and to the development of systems for computer-assisted diagnosis and therapy.

The CAMI team (Computer Assisted Medical Interventions or GMCAO in French for Gestes Médico-Chirurgicaux Assistés par Ordinateur) has been pionneering the development of medical devices assisting medical interventions for more than three decades.

In France, the team’s name (CAMI) is a standalone research area. The first French surgical robot, developed by the team for stereotaxis neurosurgery, has been used for the first time in 1989 on a patient. The mentioned robot was also one of the first surgical robots worldwide. Since then, the team has always been innovating in scientific research as well as in clinical investigations. The constant need in quality of medical interventions and the ever-growing trend in minimally invasive surgery on ever-smaller targets, using early diagnosis are endlessly stimulating the team’s challenges.

Inspired by the clinical needs and immersed in the university hospital environment, we conduct research in medical image processing, data fusion, biomechanical modeling and simulation, as well as medical robotics. Based on the experience of three decades, our team develops translational research in close partnership with clinicians and specialists in clinical evaluation methods.

In order to benefit to patients and to the healthcare system in general, multiple results are transferred to industrial partners for use in routine medical applications. Further, several spin-offs have been created by our team. Spreading our research on a large scale allows evaluation with respect to the reality of clinical practices. In a virtuous manner, this approach feeds back our team with growing challenges to perform cutting-edge research.

Position and assignments

Post-doctoral Position In Medical Image Processing

The Computer-Assisted Medical Interventions (CAMI) team at the TIMC laboratory (Grenoble, France) is seeking a highly motivated postdoctoral researcher with expertise in medical image processing—particularly registration and segmentation—and proven experience in deep learning, with a focus on ultrasound imaging.

Prostate cancer diagnosis relies on prostate biopsies, but accurate navigation and targeting during the procedure are challenged by ultrasound imaging limitations, as well as movement or deformation of the prostate. Current clinical navigation systems use MRI–ultrasound fusion, which depends on accurate segmentation in both modalities. However, segmentation quality can vary due to image complexity and practitioner expertise, affecting diagnostic precision and treatment decisions.

Within a collaborative project involving researchers, clinicians, and industry partners, the team has developed innovative deep learning–based segmentation methods and built multi-expert segmentation databases. The postdoctoral fellow will focus on integrating segmentation variability into deep learning models, with the goal of assessing prediction reliability and enabling practitioners to interactively refine segmentations for improved clinical outcomes.

The TIMC laboratory is located minutes away from the Grenoble University Hospital, allowing for a close and effective collaboration with clinical & industrial partners. Grenoble is a welcoming student city at the heart of the French Alps.

Geographic mobility:

International

Telework

Occasionnal
Jusqu'à 2 jours / semaine

Starting date

2023-10-02

Profile

This project will require a candidate with experience in:

  • Image registration algorithms (non-rigid is a plus)
  • Advanced Python programming skills (especially with Torch / Keras packages)
  • Good knowledge of the ITK / VTK frameworks
  • Good command of English
  • Creativity, curiosity, perseverance
  • ability to work in a collaborative environment and teamwork
  • autonomy

Goals

The candidate will be expected to propose innovative ideas for the development of new methods for medical image registration. We are looking for a creative and curious person, who is able to work in a collaborative environment, and demonstrates autonomy & teamwork

We expect the candidate to be proactive in the participation to international conferences and publications in high level journals of the field.

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