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Job 1931cc7a4a8ea8cb

Post-DocApplications Closed

Massimo Sartori

Unknown Organization
University of Twente, TechMed Centre, Robotics Centre, Faculty of Engineering Technology, Department of Biomechanical Engineering, 7500 AE, The Netherlands
Apply by Nov 28, 2025

Application deadline

Nov 28, 2025

Job location

Job location

Massimo Sartori

Geocoding

University of Twente, TechMed Centre, Robotics Centre, Faculty of Engineering Technology, Department of Biomechanical Engineering, 7500 AE, The Netherlands

Geocoding is still running and results will appear soon.

Source: legacy

Quick Information

Application Deadline

Nov 28, 2025

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job location

Job location

Massimo Sartori

Geocoding

University of Twente, TechMed Centre, Robotics Centre, Faculty of Engineering Technology, Department of Biomechanical Engineering, 7500 AE, The Netherlands

Geocoding is still running and results will appear soon.

Source: legacy

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Job Description

The Neuro-Mechanical Modeling and Engineering Lab (NMLab) at the University of Twente invites applications for a 3-year postdoctoral position funded by the ERC Consolidator Grant ROBOREACTOR. This is an exciting opportunity to join a cutting-edge team at the intersection of neurophysiology, biomechanics, and rehabilitation robotics. As a postdoctoral researcher in this project, you will work on breakthrough technology for non-invasive biopsies of skeletal muscles, specifically targeting the lower limbs. You will employ high-density electromyography (HD-EMG) and ultrasonography, combined with advanced statistical and machine learning techniques, to characterize muscle properties at multiple scales. Key focuses include motor unit phenotype distribution, 3D muscle fascicle morphology, and muscle inflammation levels. You will validate these non-invasive measurements against invasive biopsy samples and advanced imaging techniques, working with both healthy individuals and post-stroke survivors in the context of rehabilitation robotics and regenerative robotics technologies.

Requirements

  • Help conduct 12-week studies with both healthy participants and stroke patients. Use HD-EMG
  • ultrasound (USG)
  • and force dynamometry in combination with machine learning to predict structural and inflammatory changes in muscle over time. Set up robust HD-EMG and USG data repositories for analysis and model training. Validate noninvasive biopsy results against reference data derived from invasive biopsies. Work with experts in robotics
  • control engineering
  • and muscle biology to develop robotic rehabilitation technologies for skeletal tissue regeneration.

About Unknown Organization

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