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There are a wide number of pathologies that affect a person’s ability to move in daily life and participate fully in society. Functional restoration can largely rely on rehabilitation. The goal of this project is to create a digital twins (DT) framework of the human neuromusculoskeletal system which can function in real-time high-fidelity prediction of non-measurable individualized neuro-biomechanics quantities and serve as biofeedback during rehabilitation in an actual clinical environment. The first proof-of-concept application will focus on gait and balance training for fall prevention in the elderly. The proposed DT framework will incorporate data-based and physics-based modelling approaches, e.g., physics-informed machine learning algorithms. Your areas of responsibility will be to develop the prediction algorithms and realize the real-time visualization for rehabilitation training purposes. You will also work together with PhD students to develop a new neuromusculoskeletal model calibration pipeline using innovative biomass-based printed skin electrodes and medical imaging.
The research group is located at the KTH MoveAbility Lab, Department of Engineering Mechanics. You will work directly with Assistant Professor Ruoli Wang and Professor Lanie Gutierrez-Farewik. The project is also included a close collaboration with Dept. of Fibre and Polymer Technology and the printed electronics group, Dept. of electrical energy engineering, KTH.
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Requirements
Preferred qualifications
Great emphasis will be placed on personal competency.
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The application must include:
Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
The position offered is for, at the most, two years.
A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | S-2021-0896 |
Contact |
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Published | 01.Jul.2021 |
Last application date | 31.Aug.2021 |