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Friedrich-Alexander-Universität Neuromuscular Physiology and Neural Interfacing | n-squared lab
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  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department 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.

Join the EMGRoll research project at FAU!

The goal of EMGRoll is to develop a smart sensor kit for intuitive and assisted control of electric smart wheelchairs, combining EMG muscle signals with sensor-based environment perception to support people with mobility impairments.

Tasks:

  • Assist with data collection sessions.
  • Help build and maintain the experimental setup.
  • Contribute to the development and implementation of algorithms for EMG signal processing and intention detection using Python and MATLAB.

Requirements:

  • Very good German communication skills, as you will be working directly with participants during experiments and must be comfortable engaging with them in person.
  • Good English skills for teamwork and documentation.
  • Solid programming experience in Python and MATLAB, especially in Signal processing and Machine learning.
  • Basic knowledge of ROS is a plus.

Supervisor:

Amin Olamazadeh, M. Sc.

Application:

The position is limited to 8 hours per week. Please provide a short CV and transcript of records to nsquared@fau.de.

Please use the subject line: EMGRoll Application

The primary goal of this project is to improve and test the design of a high-density intramuscular electromyography (EMG) sensor. This work will be conducted in close collaboration with the LKT and the WTM at FAU.

Tasks:

  • Design and develop enhancements for the existing high-density intramuscular EMG sensor
  • Identify and examine alternative sensor materials
  • Conduct thorough testing and validation of the improved sensor design
  • Document the design process, testing methods, and results
  • Coordinate the research project with LKT and WTM and serve as a key contact person

Requirements:

  • Innovative thinking and strong analytical & problem-solving skills
  • Solid knowledge in CAD
  • Basic knowledge of electrical circuits is beneficial
  • Ability to work carefully and diligently throughout the research process
  • Proficiency in both English or German at a professional level to ensure effective collaboration
  • Ability to work independently and sound time management skills

Supervisor:

Charlotte Pradel, M. Sc.

Application:

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

Planning, designing and conducting a validation study of a custom-built 3d hand dynamometer. The device is designed to measure isometric finger forces in various directions. The validation study will assess the reliability of the dynamometer across multiple recording sessions for all five digits during both single and multi-digit contractions.

Tasks:

  • Develop a comprehensive plan for the validation study
  • Design and implement experimental protocols to evaluate the dynamometer’s performance
  • Collect and analyse data to access the reliability and accuracy of the dynamometer
  • Document the study design, methods, and conclusions

Requirements:

  • Solid python skills
  • Solid knowledge in CAD is beneficial
  • Experience with git is beneficial
  • Ability to work independently and sound time management skills
  • Ability to work carefully and diligently throughout the research process

Supervisor:

Charlotte Pradel, M. Sc.

Application:

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

Planning, designing and conducting a validation study of a custom-built 3d hand dynamometer. The device is designed to measure isometric finger forces in various directions. The validation study will assess the reliability of the dynamometer across multiple recording sessions for all five digits during both single and multi-digit contractions.

Tasks:

  • Develop a comprehensive plan for the validation study
  • Design and implement experimental protocols to evaluate the dynamometer’s performance
  • Collect and analyse data to access the reliability and accuracy of the dynamometer
  • Document the study design, methods, and conclusions

Requirements:

  • Solid python skills
  • Solid knowledge in CAD is beneficial
  • Experience with git is beneficial
  • Ability to work independently and sound time management skills
  • Ability to work carefully and diligently throughout the research process

Supervisor:

Charlotte Pradel, M. Sc.

Application:

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

The primary goal of this project is to improve and test the design of a high-density intramuscular electromyography (EMG) sensor. This work will be conducted in close collaboration with the LKT and the WTM at FAU.

Tasks:

  • Design and develop enhancements for the existing high-density intramuscular EMG sensor
  • Identify and examine alternative sensor materials
  • Conduct thorough testing and validation of the improved sensor design
  • Document the design process, testing methods, and results
  • Coordinate the research project with LKT and WTM and serve as a key contact person

Requirements:

  • Innovative thinking and strong analytical & problem-solving skills
  • Solid knowledge in CAD
  • Basic knowledge of electrical circuits is beneficial
  • Ability to work carefully and diligently throughout the research process
  • Proficiency in both English or German at a professional level to ensure effective collaboration
  • Ability to work independently and sound time management skills

Supervisor:

Charlotte Pradel, M. Sc.

Application:

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

Planning, designing and conducting a validation study of a custom-built 3d hand dynamometer. The device is designed to measure isometric finger forces in various directions. The validation study will assess the reliability of the dynamometer across multiple recording sessions for all five digits during both single and multi-digit contractions.

Tasks:

  • Develop a comprehensive plan for the validation study
  • Design and implement experimental protocols to evaluate the dynamometer’s performance
  • Collect and analyse data to access the reliability and accuracy of the dynamometer
  • Document the study design, methods, and conclusions

Requirements:

  • Solid python skills
  • solid knowledge in CAD is beneficial
  • Experience with git is beneficial
  • Ability to work independently and sound time management skills
  • Ability to work carefully and diligently throughout the research process

Supervisor:

Charlotte Pradel, 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

Henkestraße 91
91052 Erlangen
Germany
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