Engineer - Optimization of parameters for interactive numerical simulation (F/M)

Inria Villeneuve d'Ascq Villeneuve d'Ascq, France
Technical / Support 6 days left

About the position

About the research centre or Inria department The Inria University of Lille centre, created in 2008, employs 360 people including 305 scientists in 15 research teams. Recognised for its strong involvement in the socio-economic development of the Hauts-De-France region, the Inria University of Lille centre pursues a close relationship with large companies and SMEs. By promoting synergies between researchers and industrialists, Inria participates in the transfer of skills and expertise in digital technologies and provides access to the best European and international research for the benefit of innovation and companies, particularly in the region. For more than 10 years, the Inria University of Lille centre has been located at the heart of Lille's university and scientific ecosystem, as well as at the heart of Frenchtech, with a technology showroom based on Avenue de Bretagne in Lille, on the EuraTechnologies site of economic excellence dedicated to information and communication technologies (ICT). Context As part of the European IRE ( Intelligent Robotic Endoscope ) project, the Defrost team aims to build a robotic replica of a human colon and develop its digital twin in order to simulate and control the robot's various actuators. The objective of this position is to develop a biomechanical model of the colon and identify the model parameters based on image data obtained from experimental measurements carried out by a project partner Two trips per year are planned to Copenhagen for the project's plenary meetings. Travel expenses will be covered within the limits of the current scale. Assignment With the help of three researchers, a doctoral student, and an engineer, the successful candidate will be required to develop a (bio)mechanical model of the colon, propose a generic model for parameter optimization (parameters, boundary conditions use this optimization algorithm to identify these parameters from experimental data participate in software development for the SOFA simulation platform and propose development initiatives for SOFA present their results at project progress meetings The successful candidate will liaise with members of the Defrost team involved in the project, particularly those responsible for manufacturing the deformable colon robot. The candidate may also collaborate occasionally with project partners. Main activities Main activities: Analyze monitoring of optimization methods and surface biomechanical models. Develop a mechanical model of a colony. Develop an optimization algorithm to identify mechanical parameters and boundary conditions. Implement these models in SOFA, write tests and documentation. Participate in team activities and assist doctoral students with software aspects Additional activities: Present work progress to European partners Participate in the coordination of the SOFA community Skills Advanced proficiency in C++ (templates, object-oriented programming, memory management) Use of Python to create and configure simulation scenes via the API Understanding of the principles of deformable solid mechanics, soft tissue modeling (e.g., hyperelasticity, viscoelasticity), multiphysics (fluids, contacts), and numerical methods such as finite elements (FEM) or differential equation solvers. Writing tests to validate new components or bug fixes. Familiarity with GitHub Actions to verify compilation, testing, and examples on each pull request (PR). Ability to optimize for real-time performance (e.g., parallelization via data dependencies) and debug complex simulations.

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