PhD/PostDoc position in the Neural Interfacing Research Group at MIRMI-TUM (Garmisch-Partenkirchen site)

17.01.2024, Wissenschaftliches Personal

The Munich Institute of Robotics and Machine Intelligence (MIRMI) is an integrative research center at the Technical University of Munich (TUM) and works on innovative and sustainable solutions for key challenges of our time, such as the future of health. Currently, TUM sets up the first integrated education and research campus for healthcare robotics in Garmisch-Partenkirchen. The region offers a unique research location with an excellent network of local clinics and doctors as well as social, educational and care facilities with which we will cooperate closely. The town of Garmisch-Partenkirchen hosted the Winter Olympics and is renowned worldwide for its impressive mountains and alpine sporting events. It is located around 90 km south of Munich and is easily accessible (80 min. by train / 60 min. by car/bus).

We seek two enthusiastic individuals to join our team in Garmisch-Partenkirchen to work on the topics of invasive Brain Machine Interfaces and Neurally-driven Robot Assistants.
The ideal candidate should have high motivation and willingness to work in a critical-mass international and interdisciplinary team, as well as demonstrated skills in peer-reviewed manuscript preparation.

Key responsibilities:

• Working with brain tissue in collaboration with Neurosurgeons and Neuroanatomists
• Developing the technology chain and processing pipeline for the Invasive Brain Machine 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 and Rehabilitation Robotics
• Working for the success of research projects
• Closely collaborating with the Senior Scientist responsible for the Research Fields Neural Interfacing and Rehabilitation Robotics
• Participating in the writing of project proposals
• Mentoring M.Sc. and/or B.Sc. students

Prerequisites:

• Master or Ph.D degree in a field related to Electrical Engineering, Biomedical Engineering, Brain Machine Interfaces, Computational Neuroscience

Desired qualifications:

• Biomedical laboratory experience
• Experimental design
• Sensor fusion
• Machine learning
• Control system development
• Biomedical signal processing (neural signal processing)
• Electrophysiology
• Neuroscience
• Brain-Machine Interfaces
• Experience in mentoring M.Sc. and B.Sc. students
• Excellent communication skills in English (written and oral) 

Good to have qualifications:

• Experience with in vitro and in vivo experiments
• German language knowledge (or willingness to learn)
• Robotics

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 invasive and non-invasive electrophysiology data, motion tracking systems, 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 "28Gap CampusPhD’’ via the following link https://airtable.com/app2bXRszGdVwIqtk/shr52glIqEwIU m7ix
The application deadline for this position will be open until the position is filled. Only shortlisted candidates will be notified.

Technische Universität München
Munich Institute of Robotics and Machine Intelligence
Georg-Brauchle-Ring 60-62
80992 München

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

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Kontakt: https://airtable.com/app2bXRszGdVwIqtk/shr52glIqEwIUm7ix