PhD/Postdoctoral Researcher . Multi-Domain Computational Modeling of the Neuromuscular System for the Human Digital Twin bei Technische Universität München

We are looking for an outstanding and highly motivated doctoral or postdoctoral (i.e., recently or soon-to-be PhD graduate) researcher to join our team at MIRMI and contribute to the Geriatronics Lighthouse Initiative under the supervision of Prof. Sami Haddadin. This position will give you the opportunity to work on multi-domain modeling of the neuromuscular system for the purpose of building up a human digital twin that is to be used for patient monitoring during neurorehabilitation and telemedicine scenarios.

Your work will be integrated with our existing work, including a lumped parameter neuromechanics model and a telemedicine setup with our assistive robot, GARMI. You are expected to develop your own scientific ideas/concepts within the framework of the research project objectives and to communicate them verbally and in writing. We will provide all support for writing papers and will submit to the IEEE conferences EMBC, ICORR, IROS, ICRA, and corresponding journals.

You will work closely with MIRMI team members located in both Garmisch-Partenkirchen and Munich and will report your research activities and progress within Geriatronics (Project Y). The position may also include duties related to supervising student research work in the area of cardiovascular modeling and integrating your results with the GARMI setup and with the Human Digital Twin group. Your primary working location will be Garmisch-Partenkirchen.

Please consider applying if you have a strong background and interest in several of the following areas:

• neuromuscular physiology,
• molecular biophysics,
• systems and control theory, and
• analytical and computational mathematics.

We especially seek individuals with additional experience and knowledge in some of the following areas: human neuromechanics, human/robot kinematics and dynamics modeling and model calibration/individualization, sensors (i.e. data collection and processing), programming (Matlab, Simulink, C++, Python), and numerical solvers. Experience with virtual reality rendering engines (e.g., Unreal) is also greatly appreciated.

The position also requires sound verbal and written skills in English.

About us

Located in the prosperous capital of Bavaria and home to over 39000 students, the Technical University of Munich (TUM) is one of the world’s top universities (top 4 European technical universities in THE World University Ranking, top 50 in Shanghai Ranking, top 10 in Global University Employability Ranking, etc.) and home to one of the most vibrant environments in robotics. It is committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM benefits from the healthy mix of companies and startups of all sizes headquartered in the region and is tightly connected to regional research hospitals. The university also forges strong links with companies and scientific institutions across the world. The Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible interdisciplinary research center for machine intelligence, which is the integration of robotics, artificial intelligence, and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. More than 60 professors from various TUM faculties cooperate within the framework of MIRMI.

A lighthouse initiative of the MIRMI is the Geriatronics project located in Garmisch-Partenkirchen. The term Geriatronics refers to the use of robotics, mechatronics, and information technology, in particular machine intelligence, in the fields of gerontology and geriatrics as well as in preventive, outpatient, and inpatient care of the elderly.

How to apply?

The following documents are needed for applications:

• a motivation letter (1-3 pages) describing (i) yourself, (ii) your research interests, (iii) your qualifications, (iv) your future career goals and research focus, and (v) why you would be a suitable candidate,
• a detailed CV,
• academic transcripts from your Bachelor’s and Master’s degrees,
• doctoral degree certificate (for postdoc applicants),
• email addresses of at least two references.

Interested applicants should upload the documents with the subject "19MIRMIPhD/postdoc’’ via the following link: https://airtable.com/shr52glIqEwIUm7ix. The position will be filled as soon as possible and only shortlisted candidates will be notified. Preference will be given to applications received before September 30, 2023.

TUM has been pursuing the strategic goal of substantially increasing the diversity of its staff. As an equal opportunity and affirmative action employer, TUM explicitly encourages n