[PhD] Shoulder modelling for personnalised arthroplasty planning - France/Canada
ABG-128842 | Thesis topic | |
2025-02-24 | EU funding |

- Engineering sciences
- Digital
- Health, human and veterinary medicine
Topic description
PhD proposal
- Title: Personalizing Reverse Shoulder Arthroplasty planning with Finite Elements (PeRSAFE)
- Program: PhD proposal within the SEED program co-funded by the European Union
Keywords:
- Biomechanics / Finite element analysis
- AI / Machine Learning
- Computer vision / Statistical Modelling
- Python/C++ programming
- Arthroplasty / Shoulder
Description: The PhD objectives are:
- to quantify the variability of subject-specific material properties of the scapula in reverse total shoulder arthroplasty patients using a Statistical Shape and Density Model (SSDM), to further define boundary and loading conditions based on individualised data;
- to speed up Finite Elements (FE) model computation through machine learning prediction, in order to make it usable in clinical routine;
- to conduct experimental validation of FE prediction results, in order to establish their significance for clinical improvements
Co-supervision between :
- IMT Atlantique, Brest, France
- University of Victoria, Victoria, British Columbia, Canada
- The PhD candidate will spend 2 years at IMT Atlantique and 1 year at the University of Victoria
PhD program details:
- https://www.imt-atlantique.fr/en/research-innovation/phd/seed
PhD proposal details:
- https://euraxess.ec.europa.eu/jobs/319570
- https://www.imt-atlantique.fr/en/research-innovation/phd/seed/research-topics
Application details:
- https://www.imt-atlantique.fr/en/research-innovation/phd/seed/application
Application deadline:
- 20 March 2025
Eligibility Criteria:
- Mobility rule: Candidates must show transnational mobility by having not resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the three years immediately before the deadline of the co-funded program's call (March 20 for call #3). Compulsory national service, short stays such as holidays and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.
- Early-stage researchers (ESR): Candidates must have a master’s degree or an equivalent diploma at the time of their enrolment and must be in the first four years (full-time equivalent research experience) of their research career. Moreover, they must not have been awarded a doctoral degree.
Starting date
Funding category
Funding further details
Presentation of host institution and host laboratory
IMT Atlantique, internationally recognized for the quality of its research, is a leading French technological university under the supervision of the Ministry of Industry and Digital Technology. IMT Atlantique maintains privileged relationships with major national and international industrial partners, as well as with a dense network of SMEs, start-ups, and innovation networks. With 290 permanent staff, 2,200 students, including 300 doctoral students, IMT Atlantique produces 1,000 publications each year and raises 18€ million in research funds.
Website :
Candidate's profile
Education Level :
- Master Degree or equivalent in Computer science / Biomechanics or similar domain
Skills/Qualifications:
- Biomechanics / Finite element analysis
- AI / Machine Learning
- Computer vision / Statistical Modelling
- Python/C++ programming
- Ability to collaborate in an interdisciplinary team
- Effective communication of technical concepts
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