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Friedrich-Alexander-Universität Neuromuscular Physiology and Neural Interfacing | n-squared lab
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  1. Friedrich-Alexander University
  2. Faculty of Engineering
  3. Department of Artificial Intelligence in Biomedical Engineering
Friedrich-Alexander-Universität Neuromuscular Physiology and Neural Interfacing | n-squared lab
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Open Positions

Please check our positions below. If you are interested in joining our lab, contact nsquared@fau.de with a short description of your scientific background and what you would like to do, e.g. bachelor/master thesis.

We are searching for a student assistant (7h/week) to support in the organisation of our lectures and practical exercises, as well as in the organisation of our laboratory. Your tasks will include the creation/updating of lecture/exercise slides, supporting students during practical exercises, evaluating and grading exercise submissions and other tasks related to our teaching activities. If there is no current task to do related to teaching, you will help in the organisation of our research group, as well as assist in our various research projects. Depending on your skills and background, this can include mechanical design, electronic design, assistance in research studies and data acquisitions, programming and data analysis, etc.

Start date: 01.04.2026

Tasks:

  • Teaching-related tasks (see above)
  • Organisational tasks
  • Assistance in research projects/data acquisitions

Requirements:

  • Bachelor (3rd semester and above) or Master student (1st/2nd semester)
  • Proficiency in both written and spoken English and German (B2+)
  • High proficiency and experience in the use of MS Office software
  • Ideally: Experience in Biomedical Signal processing in MATLAB or Python
  • Ideally: Experience in Mechanical/Electronical Engineering
  • Interest in committing to at least a 1-year position with the option of extention

Supervisor:

Marius Oßwald, M. Sc.

Application:

Please provide a short CV and transcript of records to nsquared@fau.de.

We are offering a Master’s thesis project focused on the development of a high-density EMG (electromyography) device aimed at detecting spinal motoneuron activity in human newborns. This interdisciplinary project contributes to advancing early neurophysiological diagnostics and motor development research.

Tasks:

  • Design and optimize a high-density surface EMG device suitable for neonatal application
  • Develop and implement signal acquisition and processing methods
  • Conduct validation and preliminary data collection

Requirements:

  • Strong background in biomedical engineering, and electronics
  • Solid knowledge in embedded systems
  • Interest in neuroscience and infant physiology
  • Ability to work independently and communicate effectively

Supervisor:

Mounir Shaib, M. Sc.

Application:

Please provide a short CV and transcript of records to nsquared@fau.de.

This project aims to develop a compact system for detecting and analyzing lower-limb movement based on force sensors. The sensor system should be wearable, lightweight, and capable od collecting and wirelessly transmitting real-time data for continuous (12h) activity monitoring.

Tasks:

  • Integrate force sensors into insoles or similar wearable platforms
  • Design and build a small, portable signal acquisition and wireless transmission unit
  • Collect, transmit and analyze motion data in real time

Requirements:

  • Solid experience in circuit design and embedded systems
  • Proficient in Python for data processing and analysis
  • Basic knowledge of CAD and 3D printing is a plus
  • Independent, motivated, and able to start soon
  • Good communication in English

Supervisor:

Hanwen Xu, M. Sc.

Application:

Please provide a short CV and transcript of records to nsquared@fau.de.

We are offering a research project focused on the design and implementation of an automated closing system for an existing EMG bracelet. This project aims to improve user comfort and usability through a reliable, hands-free closing mechanism.

Tasks:

  • Design and prototype an automated closure mechanism
  • Integrate the system with the current EMG bracelet hardware
  • Test and validate performance and reliability
  • Document the design, development, and testing phases
  • Ability to work independently and communicate effectively

Requirements:

  • solid CAD skills
  • Basic understanding of embedded systems or hardware interfaces
  • Creativity in mechatronic design and problem-solving

Supervisor:

Mounir Shaib, M. Sc.

Application:

Please provide a short CV and transcript of records to nsquared@fau.de.

Neuromuscular Physiology and Neural Interfacing Laboratory
Friedrich-Alexander-Universität Erlangen-Nürnberg

Nürnberger Straße 74
91052 Erlangen
Germany
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