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Fully funded PhD Position at Delft University of Technology
More information and to apply: https://careers.tudelft.nl/job/Delft...CD/1354005557/
Musculoskeletal disorders, affecting muscles, bones, joints, and associated tissues, are the leading cause of disability worldwide. Musculoskeletal models can be used for prevention and development of new treatments. Yet current models fail to capture diversity across age, sex, and ethnicity.
Our ERC Starting Grant project, “Diversity Outside In”, aims to change this. We will develop an innovative methodology for generating musculoskeletal models that explicitly integrate demographic differences. By combining in-vivo measurements from large-scale human studies, cadaveric dissection for parameter verification, and a novel morphometric scaling approach, we will set a new standard for modelling the musculoskeletal system. These next-generation models will allow us to explore how diversity affects movement and musculoskeletal loading, guiding more equitable rehabilitation, prevention, and performance programs.
The PhD candidate will serve as the modelling expert within the project team, developing a pipeline for creating subject-specific models and building an open-source database to enhance diversity in musculoskeletal modelling.
As a PhD candidate in this project, you will:
• Develop a musculoskeletal modelling pipeline to create subject-specific models from in-vivo data.
• Build an open-source database of healthy subject-specific models to enhance diversity in MSK modelling.
• Collaborate within a team to organize and manage a large-scale human participant study, including recruitment and logistics.
• Conduct validation measurements in the lab, including human motion capture, dynamometry, and fluoroscopy.
• Use predictive simulations to study the effects of demography on model outcomes.
• Work closely with an interdisciplinary team of experts in biomechanics, anatomy, medical imaging, clinical sciences, and sports coaching.
This PhD is ideally suited to a candidate who enjoys combining cutting-edge measurement technologies with computational modelling, hands-on experimental work, and working with people.
We are seeking an ambitious, hands-on PhD candidate who is excited to push the boundaries of musculoskeletal research. You are eager to combine experimental biomechanics and anatomy to create inclusive, next-generation musculoskeletal models that will shape the future of rehabilitation, prevention, and athletic performance.
You bring:
• A Master’s degree in Biomechanical Engineering, Biomedical Engineering, or a related discipline.
• Strong experience in musculoskeletal modelling.
• Experience with OpenSim modelling software.
• Solid programming skills (e.g., Python, MATLAB) for data analysis and model development.
• Experience with human motion capture experiments is a pre.
• Ability to work independently while thriving in a collaborative, multidisciplinary team.
• Proficiency in English, both written and spoken.
• Ability to communicate effectively with study participants in Dutch.
• Knowledge of Arabic, Turkish, or other languages is a plus for participant communication.
If you enjoy hands-on research, working with people, and bridging experiments with cutting-edge computational methods, this PhD is the perfect opportunity to make a real impact in inclusive musculoskeletal research.
More information and to apply: https://careers.tudelft.nl/job/Delft...CD/1354005557/
Musculoskeletal disorders, affecting muscles, bones, joints, and associated tissues, are the leading cause of disability worldwide. Musculoskeletal models can be used for prevention and development of new treatments. Yet current models fail to capture diversity across age, sex, and ethnicity.
Our ERC Starting Grant project, “Diversity Outside In”, aims to change this. We will develop an innovative methodology for generating musculoskeletal models that explicitly integrate demographic differences. By combining in-vivo measurements from large-scale human studies, cadaveric dissection for parameter verification, and a novel morphometric scaling approach, we will set a new standard for modelling the musculoskeletal system. These next-generation models will allow us to explore how diversity affects movement and musculoskeletal loading, guiding more equitable rehabilitation, prevention, and performance programs.
The PhD candidate will serve as the modelling expert within the project team, developing a pipeline for creating subject-specific models and building an open-source database to enhance diversity in musculoskeletal modelling.
As a PhD candidate in this project, you will:
• Develop a musculoskeletal modelling pipeline to create subject-specific models from in-vivo data.
• Build an open-source database of healthy subject-specific models to enhance diversity in MSK modelling.
• Collaborate within a team to organize and manage a large-scale human participant study, including recruitment and logistics.
• Conduct validation measurements in the lab, including human motion capture, dynamometry, and fluoroscopy.
• Use predictive simulations to study the effects of demography on model outcomes.
• Work closely with an interdisciplinary team of experts in biomechanics, anatomy, medical imaging, clinical sciences, and sports coaching.
This PhD is ideally suited to a candidate who enjoys combining cutting-edge measurement technologies with computational modelling, hands-on experimental work, and working with people.
We are seeking an ambitious, hands-on PhD candidate who is excited to push the boundaries of musculoskeletal research. You are eager to combine experimental biomechanics and anatomy to create inclusive, next-generation musculoskeletal models that will shape the future of rehabilitation, prevention, and athletic performance.
You bring:
• A Master’s degree in Biomechanical Engineering, Biomedical Engineering, or a related discipline.
• Strong experience in musculoskeletal modelling.
• Experience with OpenSim modelling software.
• Solid programming skills (e.g., Python, MATLAB) for data analysis and model development.
• Experience with human motion capture experiments is a pre.
• Ability to work independently while thriving in a collaborative, multidisciplinary team.
• Proficiency in English, both written and spoken.
• Ability to communicate effectively with study participants in Dutch.
• Knowledge of Arabic, Turkish, or other languages is a plus for participant communication.
If you enjoy hands-on research, working with people, and bridging experiments with cutting-edge computational methods, this PhD is the perfect opportunity to make a real impact in inclusive musculoskeletal research.