PhD M/F Computational Biomechanics
New
- FTC PhD student / Offer for thesis
- 36 month
- Doctorate
This offer is available in English version
This offer is open to people with a document recognizing their status as a disabled worker.
Offer at a glance
The Unit
Biomécanique et Bioingénierie
Contract Type
FTC PhD student / Offer for thesis
Working hHours
Full Time
Workplace
60203 COMPIEGNE
Contract Duration
36 month
Date of Hire
01/10/2026
Remuneration
2300 € gross monthly
Apply Application Deadline : 14 July 2026 23:59
Job Description
Thesis Subject
The title of the PhD is : Toward a patient-specific digital twin of the face: finite element modeling and multiscale active behavior of facial muscles from multimodal data.
The objective of this PhD project is to develop a patient-specific digital twin of the face using the finite element method and multimodal MRI data. A multiscale active constitutive law for facial muscles will be developed to describe different contraction patterns (longitudinal and circumferential). The multiscale mathematical formulation and the identification of the associated parameters of the proposed constitutive law will be carried out using data from multiple sources (in vivo imaging, in vitro experiments, correlation, and regression). In particular, magnetic resonance imaging (MRI) will be used both to construct the finite element model and to characterize muscle contraction patterns during facial expressions and mimetic movements, which will subsequently be used for simulation and evaluation of the results. The PhD project is divided into five following tasks: 1) state of the art of the face finite
element modeling, 2) a patient-specific Face Modeling derived from MRI, 3) implementation of multiscale behavior of soft tissue and muscle 4) simulation of facial expression and 5) evaluation and comparison with MRI data.
Your Work Environment
The PhD research topic is part of the multidisciplinary PREDIT4FACE project, which was selected within the PEPR Digital Health Call for Projects of France 2030. PREDIT4FACE (PREdictive DIgital Twins for FACial Expression) aims to develop a multiscale predictive digital twin of the face to better understand, model, and rehabilitate facial expressions. The project is led by the BMBI laboratory (UTC-CNRS) and brings together a multidisciplinary consortium with the following partners: CHIMERE (UPJV-CHU Amiens, INSERM), LaMcube (Centrale Lille Institut, CNRS), LATIM (IMT Atlantique, INSERM), and Roberval (UTC).
Constraints and risks
Computer work. No physical constraint or particular risks.
Compensation and benefits
Compensation
2300 € gross monthly
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR7338-ALEGAR-001 |
|---|---|
| CN Section(s) / Research Area | Material and structural engineering, solid mechanics, biomechanics, acoustics |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
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