W2 Professorship for AI-based Robotics

Technische Universität Braunschweig is one of Germany’s leading institutes of technology and offers an inspiring work environment with a wide range of research and teaching opportunities in state-of-the-art facilities. The 3,800 members of our academic, technical and administrative staff – including more than 400 international scientific staff – work together to ensure that our university successfully fulfils its mission of providing excellent teaching for our approximately 16,000 students and 100 trainees.

We focus our research on mobility, metrology, engineering for health, and the future city. Our core disciplines include a comprehensive engineering division and a strong natural sciences division, closely linked with business sciences, social sciences, educational sciences, and the humanities.

Our university is located at the heart of one of Europe’s most research-intensive regions. We cooperate closely with the more than 20 internationally renowned research institutions in our vicinity and our network extends to our partner universities in Germany and all over the world, with whom we maintain strong relationships.

W2 Professorship for AI-based Robotics

The appointment is planned for October 1, 2025.

Your responsibilities
The professorship will represent the field of robotics at the TU Braunschweig in its breadth. Research will focus on the integration of modern data-driven approaches based on modern AI methods in complex robotic systems. Methodological orientations can be, for example, current “sim-to-real” and “real-to-sim” approaches, transformer approaches to describe complex robotic missions or intuitive interaction modalities between humans and robotic systems in collaborative scenarios. You will work in an interdisciplinary manner between the theoretical and methodological investigation of modern learning procedures on the one hand and their implementation, application and evaluation in real robotic systems on the other.

In teaching, you will offer topic-related courses in the fields of robotics and methods of artificial intelligence/machine learning, which on the one hand attractively complement the Bachelor’s and Master’s degree programs of the Department of Computer Science and on the other hand enrich the curricula of the degree programs of the Faculties of Mechanical and Electrical Engineering.

The successful candidate (f/m/d) is expected to be committed to the university’s strategic goals and to actively shape its holistic development. In addition to the classic service areas of a university (research, teaching and studies, transfer, governance and administration), this applies in particular to digitalisation, internationalisation, equality and diversity, as well as knowledge exchange.

Our expectations
Essential selection criteria:

• Proven expertise in the field of AI-based robotics
• Relevant publications at top international level
• Experience in academic teaching, preferably also in English
• Sound knowledge of computer science

Desirable selection criteria:

• First experience in the successful acquisition of third-party funding
• First experience in academic self-administration
• First experience in setting up and leading your own research group

We encourage candidates (f/m/d) to apply if they fulfil the essential criteria.

International research and teaching experience, excellent command of the English language, as well as the ability and willingness to teach courses in English are a prerequisite.

Individual career decisions and career breaks due to parental/family care leave affecting research output will be taken into account by the appointment committee.

Requirements, § 25 NHG

• A degree in a relevant field
• Pedagogical aptitude
• Special qualification for in-depth independent scientific work, as a rule proven by an above-average doctorate
• Additional academic achievements, usually within the framework of a junior professorship, a post-doctoral degree (Habilitation) or through achievements equivalent to a Habilitation

Notes
Technische Universität Braunschweig makes personnel decisions on the basis of suitability, ability and professional performance.

Our aim is to increase the share of women in academic positions. Therefore, we particularly welcome applications from women and will give preference to female candidates with equivalent qualifications. People with disabilities are strongly encouraged to apply and, if equally qualified, will be given preference in the appointment process.

Technische Universität Braunschweig is certified as a family-friendly university. We are committed to facilitating a healthy and productive work-life balance and offer a dual career service as well as support for newly appointed staff. Our Family Office provides advice on all issues relating to family, childcare, and caring for relatives. Our “Prof.-Programm” offers exclusive status-related exchange and consulting formats, in particular to newly appointed professors.

Professional and Personnel Development promotes the professional development of all employees through a wide range of courses and activities.

The university actively endorses equal opportunities and diversity and promotes diverse perspectives as essential in contributing to the university’s success in research, teaching, transfer and administration.

We particularly invite applications from international candidates (f/m/d). German language skills are not a prerequisite. However, the successful candidate is expected to acquire sufficient language skills to perform teaching and administrative duties in German within one year of appointment.

Even though this is a permanent full-time position, a part-time appointment may be possible upon request.

Applicants (f/m/d) who are 50 years or older at the time the appointment commences and who have not acquired permanent civil servant status (Beamtenverhältnis auf Lebenszeit) will be employed with employee status (Angestelltenverhältnis).

We are looking forward to your application!
Applicants (f/m/d) are requested to attach the following documents:

• Academic background (curriculum vitae), including details of transfer activities
• Academic certificates and diplomas (degrees)
• List of publications
• Research and teaching statement
• List of externally funded projects and description of own role in these projects
• List of courses taught and results of course evaluations
• If applicable, add proof of parental/family care leave
• If applicable, add proof of disability status.

Please submit the application, including all documents, digitally via the online portal of Technische Universität Braunschweig.

Deadline for application
The application deadline is 2024-11-30.

Contact
Informal enquiries about the job can be directed to
Prof. Dr.-Ing. Marcus Magnor
T + 49 531 391 2101
m.magnor@tu-braunschweig.de

For questions regarding legal matters, please contact
Anne Fritz,
T + 49 531 391 4350
berufungen@tu-braunschweig.de

For questions regarding the online application process, please contact
Nicole Brückner,
T + 49 531 391 14143
berufungen@tu-braunschweig.de