Connectionists: [jobs] PHD: COMPUTATIONAL MODELS OF MUSCLE REMODELLING FOR REHABILITATION ROBOTICS, UNIVERSITY OF TWENTE

[Massimo Sartori]

Are you passionate about advancing rehabilitation robotics? Do you want to
help create predictive computer models that can reshape how we approach
rehabilitation following severe neuro-muscular injuries via novel
rehabilitation robots?

Join us at the Neuro-Mechanical Modeling and Engineering Lab
(*http://bit.ly/NMLab
<http://bit.ly/NMLab>),*where we're pushing boundaries in muscle
neurophysiology, biomechanics, and robotics as part of the ERC Consolidator
Grant ROBOREACTOR (https://cordis.europa.eu/project/id/101123866).

This 4-year PhD position offers you the chance to work in an innovative
interdisciplinary environment, collaborating on groundbreaking research at
the frontier of healthcare and robotics (http://bit.ly/NMLTube).

*Project Overview*
As a PhD fellow, you’ll play a central role in building a predictive,
multi-scale model of human skeletal muscle. This model will simulate how
motor units within muscles respond to neural signals discharged by spinal
neurons and adapt structurally over time when subjected to specific
physical strain regimens. Leveraging machine learning and statistical
modeling, you’ll integrate data from *in vivo* and *in vitro* studies to
accurately predict muscle remodelling. The model will be validated against
data from both healthy participants and post-stroke patients following a
targeted 12-week leg training protocol. Using advanced tools such as
high-density electromyography, ultrasound, and robotic dynamometry, you'll
bridge biomechanics, neurophysiology and robotics, driving novel insights
in muscle modelling and rehabilitation.

*Key Responsibilities*
As part of our team, you will:

   - Develop a computational muscle model, particularly for leg muscles,
   that simulates biological remodelling over time based on strain stimuli.
   - Use high-density EMG, ultrasound, and force dynamometry to personalize
   models to reflect individual neuromuscular physiology.
   - Program model remodelling logics in languages such as C++ and Python.
   - Train machine learning algorithms to identify the most probable muscle
   remodelling processes based on strain data.
   - Validate the model with both healthy and stroke patients, as well as
   through *in vitro* muscle data.
   - Collaborate with experts in control engineering, robotics, and
   bioengineering to contribute to developing a rehabilitation robotic system
   capable of autonomous tissue regeneration.

*Key Responsibilities*
*Apply by November 28th following the instructions outlined at this
link: **https://bit.ly/3AD3CDC
<https://t.co/brbfHEKPiX> <https://bit.ly/3AD3CDC>*

---
Massimo Sartori
Full Professor and Head of Chair, Neuromuscular Robotics

Lab Head, Neuromechanical Modeling and Engineering Lab

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

Personal: https://people.utwente.nl/m.sartori
Lab: https://bit.ly/NMLab
YouTube: https://bit.ly/NMLTube



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Listen to our podcast
<https://open.spotify.com/show/3dQjP4kQ9nM3IaD5pHYvxB?si=6d90a5aeb6eb485f> on
AI-powered Digital Human Twins!
Watch our work
<https://ntr.nl/Focus/287/detail/Geprinte-benen/VPWON_1353472> on bionic
legs featured on Dutch TV!

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