Tenure Track Assistant Professor in "Implantable Brain-Computer Interfaces" (f/m/d) Technische Universität München (TUM)

The Technical University of Munich (TUM) invites applications for the position of

Tenure Track Assistant Professor
in » Implantable Brain-Computer Interfaces «

to begin as soon as possible. The position is a W2 fixed-term (6 year) tenure-track professorship with the possibility for promotion to a tenured W3.

Scientific Environment
The professorship will be assigned to the TUM School of Medicine and Health and affiliated with the Munich Institute of Robotics and Machine Intelligence. It will be embedded in an outstanding interdisciplinary environment for the translation and implementation of neurotechnologies, with close collaboration among experts at TUM in neuroscience, neurosurgery, engineering, robotics, and artificial intelligence. TUM’s scientific environment offers excellent opportunities for collaboration with leading clinical and basic research scientists at TUM, at the TUM University Hospital, and across the Munich metropolitan region. Scientific excellence is supported by outstanding research infrastructure and state-of-the-art platform technologies.

Responsibilities
The responsibilities of this position include research and teaching, as well as the promotion of early-career scientists. We seek to appoint an expert in systems architecture and integration for implantable brain-computer interfaces (BCIs), with the goal of developing the next generation of robust, long-term stable, and scalable devices. Teaching responsibilities include courses in the university’s bachelor’s and master’s programs, as well as in the PhD programs of the TUM School of Medicine and Health.

Qualifications
We are looking for candidates who have demonstrated initial scientific achievements and the capacity for independent research at the highest international level. A university degree and an outstanding doctoral degree or equivalent scientific qualification, as well as pedagogical aptitude, are prerequisites. Substantial research experience abroad is expected (please see www.tum.de/en/faculty-recruiting-faq/ for further information). Candidates must demonstrate profound expertise in design and/or signal-decoding related to implantable brain-computer interface technologies, a strong commitment to interdisciplinary research, and the ability to attract competitive third-party funding. A commitment to acquiring and leading collaborative research projects is also expected.

Our Offer
Based on the best international standards and transparent performance criteria, TUM offers a merit-based academic career path for tenure track faculty from Assistant Professor through a permanent position as Associate Professor, and on to Full Professor. The regulations of the TUM Faculty Recruitment and Career System apply.
TUM provides excellent working conditions in a lively scientific community, embedded in the vibrant research environment of the Greater Munich Area. The TUM environment is multicultural, with English serving as a common interface for scientific interaction. TUM offers attractive and performance-based salary conditions and social benefits.
The TUM Munich Dual Career Office (MDCO) provides tailored career consulting to the partners of newly appointed professors. The MDCO assists the relocation and integration of new professors, their partners and accompanying family members.

Your Application
TUM is an equal opportunity employer and explicitly encourages applications from women. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Application documents should be submitted in accordance with TUM’s application guidelines for professors. These guidelines and detailed information about the TUM Faculty Recruitment and Career System are available at www.tum.de/faculty-recruiting. Here you will also find TUM’s information on collecting and processing personal data as part of the application process.

Please submit your application by 15 September 2026 via the TUM recruitment portal: www.recruit.tum.de