Faculty position in data-driven simulation for medical applications

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The MIMESIS team is seeking applications for a full-time permanent research position in the area of Data-driven Simulation for Computer-Aided Medical Interventions. The MIMESIS team is an Inria research group, located in Strasbourg, France. Its main focus is the development of novel methods for Computer-Guided Interventions. In this multi-disciplinary research field, we are making strong contributions in the areas of real-time, data-driven, patient-specific, soft tissue deformation, but also contact modeling, data assimilation, machine learning, non-rigid registration, augmented reality, and robotics. We are also actively involved in the development of a large open-source software, SOFA, used by several companies and many academics.

Job Description

The position is a full-time research position, equivalent to assistant professor level, where teaching is encouraged but not required. Due to the multi-disciplinary nature of our work, we are seeking expertise in several domains: computational mechanics, machine learning, computer vision, and scientific computing. As a researcher at Inria you are expected to:

  • Conduct world-class scientific research
  • Publish in the best international conferences and journals,
  • Acquire and manage external funding for both fundamental and applied research projects,
  • Actively participate in collaborative work with our team members and research partners,
  • Supervise Masters and Ph.D. students

Profile and requirements

  • You hold a doctorate degree (Ph.D.) in Computer Science (or equivalent).
  • You have a minimum of 1-year experience at Postdoctoral level
  • You have an outstanding track record of research in one of the following fields:
  • * Modeling and simulation such as finite element methods
    * Scientific computing (optimization methods and other numerical techniques)
    * Computer Vision (in relationship with physics-based modeling or surgical procedures)
    * Machine Learning (Bayesian Methods, Deep Learning and other AI methods)

  • A track record of acquiring research funds is an advantage,
  • Experience with valorization (e.g., industrial research projects, tech transfer) is an advantage.

How to apply?

  • All applicants are strongly encouraged to contact the MIMESIS team (see below)
  • Applications may only be submitted online, until the closing date of February 16th, 2020
  • Details about the application process are here: https://www.inria.fr/en/researchers-normal-class-crcn
  • A pre-selection will be made among the submitted applications.
  • If pre-selected, the applicant will be interviewed by a panel of independent researchers

details about employment at Inria can be found here.
The selected candidate will be appointed in the Fall of 2020.

For any question contact: Prof. Stéphane Cotin, MIMESIS team leader.

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