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  2. 3-year PostDoc Fellowship: Non-Invasive Biopsies of Skeletal Muscles via Advanced Bio-signal Processing and Machine Learning.

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

Are you passionate about creating pioneering non-invasive techniques that could replace traditional invasive biopsies for assessing musculoskeletal health? Do you want to develop wearable systems for continuous, in-depth monitoring of skeletal muscle structure and inflammation over long timescales (months or more)? Are you ready to push the boundaries of muscle monitoring and machine learning to shape the future of rehabilitation and robotic training?

Apply now
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Key takeaways

  • Hours
    38 hr.
  • Salary indication
    Salary gross/monthly
    based on full-time
    € 4,020 - € 5,278
  • Deadline
    28 Nov 2024

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:

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

Your profile

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.

Our offer

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.

Information and application

Apply by November 28th, 2024. Applications must include the following documents:

The first-round interview will be scheduled in the week of December 9th.

For questions, please contact Prof. Massimo Sartori, mail: m.sartori@utwente.nl. Please, only apply via the web platform and not via email.

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About the organisation

The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.

Want to know more

Sartori, M. (Massimo)

Sartori, M. (Massimo)
Full Professor and Chair of Neuromuscular Robotics

Sartori, M. (Massimo)
Full Professor and Chair of Neuromuscular Robotics

Do you have questions about this vacancy? Then you can contact Massimo for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.

How to apply

Step 1

Apply.
When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.

Apply now

Step 2

Selection.
The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.

Step 3

1st interview.
The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.

Step 4

2nd interview.
In the second interview, we will further discuss the job content, your skills and your talents.

Step 5

The offer.
If the conversations are positive, you will be made a suitable offer. If applicable, we will sign you up for screening.

Your Colleagues

About The Faculty ET

Curious about what the Faculty of Engineering Technology (ET) stands for? Check out the ET website for more information.

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