Recrutement

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Post-Doc position 12 months in video-based gait disorders recognition with multimodal LLM

Type de recrutement
Chercheur·euse
Durée
Rattachement
LAMIH UMR CNRS 8201
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Détails (fichier)

Goals:

  • Optimize pose detectors (using, e.g., OpenPose, MMpose, and Theia) for the analysis of human movements in video sequences.
  • Identify the main factors associated with gait disorders and the risk of falling.
  • Develop specialized machine learning and computer vision models to recognize risk behaviors associated with gait and balance disorders.
  • Integrate an LLM to analyze and interpret video and text data associated with gait disorders.
  • Design and implement a diagnostic support platform using the technologies developed.
  • Validate the tools and platform through experiments under ecological conditions.

Missions:

  • Conduct collaborative research with LAMIH in France and LIVIA, LOI and IRL ILLS at ÉTS Montréal in Canada to develop innovative tools for detecting gait disorders.
  • Specification of the platform, participation in its design: definition of its architecture, technological choices, etc.
  • Publish research results in scientific journals and international conferences.
  • Participate in writing reports and technical documents.
  • Collaborate with researchers, engineers, clinicians and other partners to integrate research results into practical applications.

Applicant profil:  

  • PhD in automation, computer science, biomedical engineering, biomechanics, electrical engineering or related field.
  • Demonstrated experience in computer vision, machine learning and video analysis.
  • Knowledge of pose detection and human motion analysis techniques.
  • Familiarity with large multimodal language models (LLM) and their application.
  • Programming skills (Python, C++, etc.) and use of machine learning libraries (TensorFlow, PyTorch, etc.).
  • Good written and oral communication skills in English.
  • Ability to work independently and as part of a team.

 

Salary: 2 221,30 € minimum per month (adaptable according to experience)
Application : CV, motivation letter, recommandations sent to : Mathias Blandeau (Mathias.Blandeau@uphf.fr) and Philippe Pudlo (Philippe.Pudlo@uphf.fr)