Clausthal University of Technology is a modern profile university focused on the Circular Economy. The guiding theme with its characteristics of resource-efficient circular economy, sustainable materials, renewable energies and digital control of the overall system is a recurrent theme throughout the university. At Clausthal University of Technology, we research, teach and work to build a sustainable society in the digital age. Founded in 1775, students in the Harz region have been successfully educated in the natural sciences, engineering and economics as well as computer science and mathematics for around 250 years. Approximately 80 professors, 3,000 students and 1,100 employees enjoy short distances, a personal atmosphere and the varied landscape in the middle of a UNESCO World Heritage Site. We are known for our close contact with students. The research-intensive university, with its excellent national and international network, is the most important economic factor in the region.

The Faculty of Science of the Clausthal University of Technology is seeking to appoint the Position of

Junior Professor (Salary Scale W1 NBesO) with Tenure Track (leading to Salary Scale W2 NBesO) "Security and Generative AI" (m/f/d)

at the Institute for Software and Systems Engineering starting as soon as possible.

The requirements of the position are defined in Section 30 of the Niedersachsen Higher Education Act (Niedersächsisches Hochschulgesetz NHG). Junior professors are appointed to a fixed term of three years (in line with § 30 Abs. 4 of the Niedersachsen Higher Education Act, NHG). In case of a positive evaluation of this term, the appointment can be extended by up to three additional years. After at most five years overall, the tenure-track evaluation process as outlined in the "Tenure Track Ordnung der TU Clausthal" (Ordnung zur Gewährung einer Professur auf Lebenszeit im Tenure Track-Verfahren) can be initiated. In case of a positive outcome and in compliance with applicable laws and regulations, the junior professorship will be converted to a permanent professorship (Salary Scale W2).

You fit in with us if:

We require expertise in the following areas of research:

1. Security of generative Al systems (e.g., attack detection, robustness, privacy, trust)

2. Using generative Al for security

The applicant should also have substantial research experience in another related research area, such as one or more of the following areas:

3. Model interpretability / explainable Al (XAI) / trust in security-related applications

4. Data protection in machine learning (e.g., federated learning, differential privacy)

5. Monitoring and verification/validation of Al-based systems at runtime

6. Trustworthy Al engineering (including certification & tracability)

7. DevSecOps and security in an MLOps context

The primary objective is to develop, in the medium term, a research-intensive and externally well-funded research area in the aforementioned fields.

Within the university, the professorship should actively contribute to the "Digitalization for a Sustainable Society" research field and thus strengthen the digitalization-related research profile of our engineering sciences and computer science institutes. We expect the appointed applicant to become an active member of the Center for Digital Technologies (DIGIT). This includes in particular the participation in the bachelor, master and further education programs of the joint study program Digital Technologies as well as the further development of this study program, which Clausthal University of Technology and the Ostfalia University of Applied Sciences offer in cooperation. Additionally, the appointee will have the opportunity to contribute to the DIGIT with own research projects, most notably in an application-oriented context at the digitalization laboratories of the DIGIT.

Experience in the acquisition of third-party funded projects is expected.

The successful applicant is responsible for the organization and development of the teaching and research portfolios of the professorship. Teaching should primarily address the courses of study Computer Science/Business lnformatics (B.Sc. and M.Sc.), Digital Technologies (B.Sc. and M.Sc.), as well as the M.Sc. courses of study Intelligent Manufacturing and Electrical Engineering/Information Technology. The willingness to conduct courses in German and English is a prerequisite. Strong commitment to teaching is expected.

This is what you can look forward to at TU Clausthal:

• The university stands for equal opportunities, diversity, internationality and family friendliness.
• Among other things, we offer support services for balancing family and career.
• On a campus surrounded by nature, researchers enjoy an atmosphere of open-mindedness, team spirit and active interdisciplinarity.
• We support our welcoming culture with an onboarding program.
• Continuing education and health promotion are also very important at Clausthal University of Technology.

Clausthal University of Technology strives to increase the proportion of female professors and therefore expressly encourages women to apply. At the same time, it values the diversity of skills of its employees in all areas of the university. We therefore welcome applications regardless of age, gender, nationality, origin and religion. Applications from severely disabled people are also expressly encouraged and will be given preference if equally qualified. A command of German for teaching and committee work is desirable.

Part-time employment can be made possible on request.

Applicants who have already reached the age of 50 at the time of the intended appointment and are not already employed as civil servants will generally be recruited as employees.

We look forward to your application!

Applications with the usual documents must be uploaded by 15 September 2026 on our web portal (link below).

Please address the cover letter to the Dean of the Faculty of Science at Clausthal University of Technology, Prof. Dr. René Wilhelm.

Contact

Further information is available from the Chairman of the Appointments Committee:

Prof. Dr. Benjamin Säfken, Phone: +49 (0) 5323 72-2401, Email:

Please note our information on data protection in the application process at: