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3-year PostDoc Fellowship: Non-Invasive Biopsies of Skeletal Muscles via Advanced Bio-signal Processing and Machine Learning.

Updated: 18 Nov 2024

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Research / Academic
Enschede

The Neuro-Mechanical Modeling and Engineering Lab 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.

Project Overview
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
  • 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.

Key Responsibilities

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

Requirements:

We are seeking a highly motivated individual with a strong background in:

  • Signal Processing & Machine Learning: Experience in biological signal analysis and machine learning, with knowledge of blind source separation methods.
  • Muscle Measurement Techniques: Proficiency with HD-EMG, ultrasound, and force dynamometry, especially in long-term, multi-scale studies.
  • Motor Unit Physiology: Knowledge in motor unit analysis techniques is advantageous.
  • Experimental Design & Validation: Skilled in structuring and validating complex, longitudinal human studies.
  • Interdisciplinary Collaboration: Ability to thrive in a collaborative environment with control engineers, roboticists, and biologists.


Qualifications

  • A PhD in Information Engineering, Computer Engineering, Electronic Engineering, Biomedical Engineering, Robotics and AI or a related field.
  • Strong analytical skills and a proven track record in signal processing and machine learning.
  • Strong analytical and programming skills (Python, MATLAB, C++) and proficiency in data analysis tools.
  • Excellent communication and teamwork skills within a research setting.

Salary Benefits:

We offer a position with a generous allowance:

  • A full-time 3-year position (with one year probation) with 30% tax ruling option and a pension scheme.
  • A salary between 4020,- and 5278,- (scale 10) based on education and experience.
  • Holiday and year-end bonuses.
  • A minimum of 29 holidays.
  • Professional and personal development programs.
  • Access to Neuromechanics and Wearable Robotics Labs outstanding facilities.
  • Proximity to Enschede, a mid-size city with a large social offer, immersed in the nature of the Twente region.
  • Fun work atmosphere with social lab retreats.
Work Hours:

38 hours per week

Address:

Drienerlolaan 5