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

Job title:

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

Company:

University of Twente

Job description

The at the University of Twente invites applications for a 3-year postdoctoral position funded by the . This is an exciting opportunity to join a cutting-edge team at the intersection of neurophysiology, biomechanics, and .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.

RequirementsWe 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.

Conditions of employmentWe 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.

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

• A video (2-minute max) describing your scientific interests and why you want to apply for this position.
• A cover letter (1-page max) specifying how your experience and skills match the position as well as summarizing work in your masters.
• A CV including English proficiency level, nationality, visa requirements, date of birth, experience overview, and publication list.
• Contact information for at least two academic references. A support letter will be requested only if your application is considered.

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.

Expected salary

Location

Enschede, Overijssel

Job date

Wed, 13 Nov 2024 23:13:04 GMT

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