No announcement yet.

PhD Position Simulation and Measurement of Functional Motor Redundancy, TU Delft, NL

  • Filter
  • Time
  • Show
Clear All
new posts

  • PhD Position Simulation and Measurement of Functional Motor Redundancy, TU Delft, NL

    More information and application process:

    As result of a disease, aging or fatigue humans experience a loss in neuromuscular capacity to perform a task. Fortunately, functional redundancy enables humans to (partly) compensate for a loss. However, such compensatory muscle recruitments and/or kinematics will adversely affect joint loading and stability. Even when patients are in treatment, incorrect or insufficient compensation might stay unnoticed until it’s too late, for instance after severe wear of joints, or after a fall. Predicting how neuromuscular deficiency would lead to incorrect or insufficient compensation strategies, would enable clinicians to anticipate and timely prescribe targeted interventions. For this purpose, we are developing 3D neuromusculoskeletal computational models to perform predictive simulations of daily life activities in elderly people and patients.

    The research goal for this PhD position is 1) to develop methods to personalize neuromusculoskeletal models 2) to implement predictive simulations from loss of neuromuscular capacity to compensatory strategies 3) verification in the lab 4) prepare for translation to the clinic (based on computer vision techniques).


    The ideal candidate has:
    • A MSc degree in the field of Biomechanical Engineering, Biomedical Engineering, Computer Science, or a related field.
    • Proficiency in motion capture and analysis.
    • Affinity with Computer Vision and AI techniques.
    • Programming skills (e.g. MATLAB, Python, etc.).
    • Excellent Oral and written English communication skills.
    Additional Preferred Qualifications
    • Research experience in MRI muscle segmentation.
    • Experience in (predictive) musculoskeletal modelling (e.g. OpenSim, Scone).
    • Experience in working with patients and/or older adults.
    • Dutch speaking (for patient interaction).