Research Fellow (E13) (m/w/d)

10.06.2022, Wissenschaftliches Personal

We are seeking a highly creative and motivated post-doctoral fellow to join the Neuromuscular Diagnostics Team at the Faculty of Sports and Health Sciences. Our research examines the computational principles of sensorimotor control. Specifically, how the sensorimotor system learns to control the complex dynamics of the body when interacting with the world. We use custom-built robotic interfaces, virtual reality and computational modelling to examine the control system. See our webpage at: www.nd.sg.tum.de

Tasks:
- Carry out research projects and publish journal articles. This research will focus on modelling the human neuromuscular system, and adapting the model according the data from wearable devices; part of a TUM innovation network examining wearables for neurorehabilitation.
- Help to train and supervise PhD students and other researchers that use the laboratory.
- Contribute to the teaching of the faculty and to grant applications.

Requirements:
- PhD in an area relevant to this research (e.g. Engineering, Physiology, Biomechanics).
- Experience in machine learning, computational modelling, or similar desired.
- Programming skills, computational skills, robotics, experience with electromyography, experience with psychophysics methods and/or other relevant experimental skills are an advantage.
- A strong, relevant publication record.
- English writing and oral presentation skills
- Highly motivated, meticulous individual with a passion for research.

We offer:
- A competitive salary (99% TV-L E13, actual pay depends on experience).
- Initial contract for one year. Funding is available for up to four years.

As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity to the university’s research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications.
(Die TU München strebt eine Erhöhung des Frauenanteils an, qualifizierte Frauen werden deshalb nachdrücklich aufgefordert, sich zu bewerben. Schwerbehinderte werden bei ansonsten im Wesentlichen gleicher Eignung und Qualifikation bevorzugt. Die Stellenbesetzung ist grundsätzlich auch in Teilzeitbeschäftigung möglich)

Interested?
Please e-mail a letter of up to 2 pages (to explain motivation, suitability and research interests) and a CV of up to 3 pages to Prof David Franklin at [email protected]. We will continue interviewing until the position is filled, but please try to submit your application by 10.07.2022.

Prof. Dr. David Franklin; Technical University of Munich; Georg-Brauchle-Ring 60/62, 80992 München, Germany

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Kontakt: [email protected]