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Publication date: Nov 15, 2022
Position ID: 902
Application Deadline: Dec 15, 2022
Anticipated Start Date: Jan 02, 2023
The Institute for Modelling and Simulation of Biomechanical Systems at the University of Stuttgart invites applications for a full-time position as a doctoral researcher/ PhD student or postdoctoral researcher (f/m/d), 100% TV-L E13, in the field of computational or experimental neuro-mechanics.
The Continuum Biomechanics and Mechanobiology research group (Prof. Oliver Röhrle) is one of the two chairs at the Institute for Modelling and Simulation of Biomechanical Systems. The focus of the group is the development and application of computational and experimental methods to investigate the neuromuscular system and related fields.
About the project and the position:
This opening is part of the ERC-AdG “qMotion — Simulation-enhanced high-density magnetomyographic quantum sensor systems for decoding neuromuscular control during motions”. The overall aim of the project is to link neurophysiology and skeletal muscle mechanics. Therefore, we aim to develop novel magnetomyographic measurement systems that allow to study the neuromuscular system non-invasively and in vivo. This is only feasible by conducting highly interdisciplinary research, which combines experimental measurements, simulation science and signal processing.
With our aim to link in vivo experiments and computer simulations, we seek candidates with a strong background in at least one of the following fields:
• computational neurophysiology
• electrographic or magnetographic measurements
• electromagnetic field theory
• biological systems modelling
• bio-signal processing
Good programming skills in Matlab, Python, etc. are expected. Further, the candidate is expected to have an excellent master’s degree (or equivalent) in studies with a focus in neurophysiology, biomedical engineering, civil engineering, simulation sciences, applied physics or applied mathematics. The ability to work in an interdisciplinary team, good communication skills and the willingness to take on teaching responsibilities are basic requirements.
Deadline: Dec 15, 2022