13.06.2023, Wissenschaftliches Personal
We seek enthusiastic individuals to join our Neural Interfacing research team, for the development of real-time decoding for Brain-Computer Interfaces (BCI) (e.g., brain-controlled robots) for patients with severe upper limb motor impairments, such as Spinal Cord Injury (SCI) and stroke.
We seek enthusiastic individuals to join our Neural Interfacing research team, for the development of real-time decoding for Brain-Computer Interfaces (BCI) (e.g., brain controlled robots) for patients with severe upper limb motor impairments, such as Spinal Cord Injury (SCI) and stroke. The ideal candidate should have high motivation and willingness to work in a big international and interdisciplinary team, as well as demonstrated skills in peer-reviewed manuscript preparation.
Key responsibilities:
The Postdoc for the Neural Interfacing research field will contribute to the research for Brain-Computer Interfaces:
- Driving the experimental work on a regular basis
- Publishing the outcomes of the work in peer-reviewed journals
- Closely collaborating with the Doctoral candidates working on Brain and Neuromuscular Interfaces
- Working for the success of research projects
- Closely collaborating with the Senior Scientist responsible for the Neural Interfacing Field
- Participation in project proposals writing
- Mentoring M.Sc. and B.Sc. students
Prerequisites:
- Master degree in electrical engineering, control engineering, cybernetics, robotics or other related fields
- Ph.D in the above fields or fields related to Neuroscience or Human-Machine Interfaces
Desired qualifications:
Knowledge in:
- Biomedical signal processing (filtering, high-dimensional data processing
- single unit activity
- local field potentials
- kinematic data
- Experimental design
- Real-time systems and algorithms
- Proficiency in C/C++ and/or Python/Matlab
- Low-level machine learning
- Control theory and systems
- Experience in mentoring M.Sc. and B.Sc. students
- Excellent communication skills in English (written and oral)
Good to have qualifications:
- Acquisition of high-resolution neurophysiological data
- Building electronics and embedded system
- Experience with patient studies (with motor disabilities
- German language knowledge (or willingness to learn)
What we offer, benefits:
- Exciting research with high impact in the intersection between Brain-Computer Interfaces, and Robotics
- Opportunity to work in a unique and leading lab equipped with acquisition systems for electrophysiology data and motion tracking systems up to various robots and mechanical/electrical workshops
- Opportunity to collaborate with researchers at MIRMI and collaborators working in multiple fields such as robotics and human modeling
- Established collaboration with medical doctors in the field of Neurosurgery and Neurorehabilitation
- Salary according to the public German system TV-L E13
Application
We look forward to receiving your detailed application documents (cover letter, curriculum vitae and certificates). Please upload them with subject " 9MIRMIPostdoc’’ via the following link: https://airtable.com/shr52glIqEwIUm7ix. The deadline for applications for this position is 15th July, 2023.
Contact for questions:
Dr. Melissa Zavaglia
[email protected]
More information:
Neural Interfacing Lab
Technische Universität München
Munich Institute of Robotics and Machine Intelligence
Georg-Brauchle-Ring 60-62,
80992 München
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: https://airtable.com/shr52glIqEwIUm7ix
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