Independent responsibility for particularly challenging scientific tasks in research and teaching in the field of information systems engineering, as well as the conceptual further development of strategic research priorities within the overall strategy defined by the professorship. In this context, integrative scientific work on complex research questions at the intersection of distributed systems, software engineering, data management, and security engineering, with additional incorporation of economic perspectives of systems-oriented business informatics and industry-oriented application contexts. The position holder will play a key role in the development and scientifical shaping of the thematic field “Observability in AI-driven Systems”, including establishing the systematic development of methodological foundations for observability, transparency, and quality assurance of distributed, data-intensive, and AI-supported software systems, taking into account security-related and economic evaluation criteria. Responsibilities also include the independent conception of third-party funding research proposals as well as scientific project leadership and the coordination of scientific staff,all carried out under the overall responsibility of the professorship. In addition, the position holder is responsible for independent conception and execution of courses within the predefined module structure.
As part of gender equality and early career-support strategy, measures and concepts are to be developed to further strengthen the representation of women in computer science and business informatics.

The position is designed as a permanent role aimed to ensure the development of a strong scientific profile, curricular responsibility, and international networking.

• Successfully completed university degree (Master, Diplom or equivalent) and PhD in computer science or business informatics
• Demonstration of independent scientific achievements through relevant publications in internationally refereed journals and conferences
• In-depth scientific expertise in all of the following areas: distributed systems, software engineering, data management, security engineering
• Proven experience in designing and implementing challenging research projects
• Several years of teaching experience (in German and English) in the field of computer science
• Experience in national and international scientific cooperation
• Expertise in structurally effective work to improve quality and impowerment of young talent in the MINT-field
• The ability to teach in German and in English is required

Please send your application with the reference number and the usual documents only by E-Mail (compiled into a single PDF document, max. 5 MB) to Prof. Dr. Stefan Tai (ise-TB-sekretariat@win.tu-berlin.de).

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.