Stochastic biomechanical modeling for patient-specific image-driven simulations

Stochastic biomechanical modeling for patient-specific image-driven simulations

Position: Post-doctorant

Location: Strasbourg

Research topic: Medical Simulation



Work Environment

Inria team MIMESIS associated to the iCube laboratory at University of Strasbourg invites applications for the position of a full-time post-doctoral researcher. We are seeking a highly-qualified individual with skills in some of the fields related to the research themes, including biomechanical modeling, numerical computations, stochastic simulation and artificial intelligence. The 1-year position is aimed to start late 2017, within the MIMESIS team, in the context of project IdEx (Initiative d’Excellence).

The computer-aided navigation employing physics-based models has become an efficient tool capable of providing measurable improvements in surgery and interventional radiology. For example, the augmented-reality techniques employing a patient-specific biomechanical model reconstructed from preoperative data are currently experimented to navigate the surgeon in order to facilitate the localization of the target region containing the tumor.

The successful candidate will focus on patient-specific biomechanical modeling where model parameters suffer from important uncertainty. To tackle this issue, algorithms developed in domains such as parameter sensitivity analysis, stochastic filtering and data assimilation will be employed, extended and adapted in order to improve the predictive capacity of physics-based models of deformations. The researcher will contribute to the creation of an image-driven navigation platform based on existing multi-physics framework SOFA. The direction towards the stochastic simulations will naturally continue towards the area of artificial intelligence in the context of computed-aided interventions.

About Inria@Strasbourg

Inria, the French National Institute for computer science and applied mathematics, promotes scientific excellence for technology transfer and society. At Inria, graduates from the world’s top universities rise to the challenges of digital sciences. Research at Inria is organised in project teams which bring together researchers with complementary skills to focus on specific scientific projects. With this open, agile model, Inria is able to explore original approaches with its partners in industry and academia and provide an efficient response to the multidisciplinary and application challenges of the digital transformation.  

The MIMESIS team, located on the hospital campus in the heart of Strasbourg, is dedicated to numerical simulation in medicine. Over the past 4 years, the MIMESIS team has developed new approaches supporting advanced simulations in the context of simulation for training. The best example of our success in this area is certainly the work done in collaboration with the HelpMeSee foundation, leading to the creation of the start-up InSimo. The team focuses on the use of real-time simulation for per-operative guidance. The underlying objectives include patient-specific biophysical modeling, dedicated numerical techniques for real-time computation, dynamic topological representations, data assimilation and image-driven simulation. The MIMESIS team works in close relationship with IHU Strasbourg, a new institute developing clinical technologies at the intersection of the fields of laparoscopy, interventional flexible endoscopy and interventional radiology. More information, on our website

Qualifications for Applicants

  • PhD in applied mathematics and/or computer science is required.
  • Special interests for and competence in biomechanical modeling, numerical methods, medical imaging, development of technology for improved image-guided surgical navigation.
  • Practical experience with research methods.
  • Good to excellent expertise in C++ and Python.
  • We emphasize collaborative skills, initiative, ability to accomplish tasks, practical skills, and ability to create and establish new projects in collaboration with colleagues.

The position is open immediately until filled, with applications being reviewed on an ongoing basis. Candidates should send electronically a statement of motivation, their curriculum vitae with a publication list and URLs to two selected publications available online. The compiled material should be sent in PDF format to

Selected Papers

  1. Image-Driven Stochastic Identification of Boundary Conditions for Predictive Simulation. Igor Peterlik, Nazim Haouchine, Lukáš Ručka, Stéphane Cotin. Medical Image Computing and Computer-Aided Interventions (MICCAI), 2017.
  2. Towards an efficient data assimilation in physically-based medical simulations. Igor Peterlik, Antonín Klíma. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2015.
  3. Patient-specific Biomechanical Modeling for Guidance during Minimally-invasive Hepatic Surgery. Rosalie Plantefève, Igor Peterlik, Nazim Haouchine, Stéphane Cotin. Annals of Biomedical Engineering, 2015
  4. Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery. Nazim Haouchine, Stephane Cotin, Igor Peterlik, Jeremie Dequidt, Mario Sanz-Lopez, Erwan Kerrien, Marie-Odile Berger. IEEE Trans. on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2015.
  5. Augmented Reality during Cutting and Tearing of Deformable Objects. Christoph Paulus, Nazim Haouchine, David Cazier, Stephane Cotin. IEEE Int. Symp. on Mixed and Augmented Reality (ISMAR), 2015.
  6. Surgical Augmented Reality with Topological Changes. Christoph Paulus, Nazim Haouchine, David Cazier, Stephane Cotin. Medical Image Computing and Computer Assisted Interventions (MICCAI), 2015.


Igor Peterlik

Igor Peterlik

Research Scientist