Snabbfakta
-
- Enschede
- Heltid
- Rekrytering
Kategorier:
- Teknik
- Maskinteknik
- Bioteknik
Titlar:
- Postdoktor
Ansök senast: 2024-11-28
3-year PostDoc Fellowship: Non-Invasive Biopsies of Skeletal Muscles via Advanced Bio-signal Processing and Machine Learning.
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.
Conditions of employment
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.
Additional information
Apply 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.