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[PhD] Shoulder modelling for personnalised arthroplasty planning - France/Canada

ABG-128842 Thesis topic
2025-02-24 EU funding
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IMT Atlantique
- Bretagne - France
[PhD] Shoulder modelling for personnalised arthroplasty planning - France/Canada
  • Engineering sciences
  • Digital
  • Health, human and veterinary medicine
Biomechanics, Finite element analysis, Machine Learning, Computer vision, Statistical Modelling

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: 

  1. 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; 
  2. to speed up Finite Elements (FE) model computation through machine learning prediction, in order to make it usable in clinical routine;
  3. 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

2025-10-01

Funding category

EU funding

Funding further details

Programme SEED

Presentation of host institution and host laboratory

IMT Atlantique

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.

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

 

 

 

2025-03-20
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