Professorship (W2) in Software Engineering and Artificial Intelligence (100 %) (

characteristics Fixed-term employment contract (initially for two years) Full-time Fully remote from Germany or abroad (German working hours) or hybrid from Hanover, Munich or Leipzig Published on 26.08.2026 Application deadline: 31.12.2026 Earliest start date: 01.08.2027 Teaching load of 18 SWS about usvelpTEC is an education institute focused on innovative technologies, combining experience from business, future studies, and new educational approaches. Through our educational offerings, we support people in strengthening their skills for the future in a practice-oriented way, helping them actively shape their own paths in life – and from 2027 onward, also in higher education.VTH – University of Applied Sciences in foundation (in Gründung) is a private university of applied sciences currently undergoing the process of state recognition through the Lower Saxony Ministry of Science and Culture. Our degree programs are launching in the fields of digital technologies, engineering, and innovation-driven management – with a clear commitment to continuously expanding our portfolio and responding to new developments. We understand teaching as a space for shaping solutions for tomorrow. Our approach is project-based, competency-oriented, and closely interlinked with practice. We are looking for individuals who are eager to break new ground in higher education and want to actively help shape our innovative learning environment.We are filling a W2-Professorship in Software Engineering and Artificial Intelligence (100 %).your responsibilities Program development: Contributing to the development of the Bachelor's program in Intelligent Systems and Applied Computing, and assisting in recruiting students Masterclasses and expert seminars: Conducting live sessions on programming, software engineering, machine learning, agentic AI and data engineering in English Student supervision and examination formats: Providing academic guidance, mentoring, and support for project and research work; designing and evaluating portfolio assessments, exams, and bachelor's theses Applied research: Conducting practice-oriented research and transfer projects in the areas of software engineering, artificial intelligence, and data engineering – in cooperation with industry and research institutions Funding and cooperation: Initiating research collaborations and acquiring third-party funding to strengthen applied research at our university Publications and presentations: Publishing research findings in academic journals and at relevant conferences, as well as representing the university at specialist presentations and industry events Transfer: Willingness to participate in research-related product developments, founding/start-up ventures, and patent applications University development: Contributing to the university's academic self-governance, helping to further develop the range of study programs, and participating in international collaboration recruitment and qualification requirementsThe recruitment requirements for professors are governed by § 25 of the Lower Saxony Higher Education Act (NHG): A completed university degree Pedagogical-didactic aptitude confirmed through practical experience Special aptitude for in-depth independent scholarly work, generally evidenced by an above-average doctorate in the fields of computer science, software engineering, artificial intelligence or related fields Special achievements in the application or development of scientific findings and methods over at least five years of professional practice, of which at least three years must have been carried out outside the higher education sector – preferably in software development, artificial intelligence, or data engineering roles in industry in addition, we assume The ability and willingness to conduct teaching, research, and transfer activities in English. Willingness to develop and further build higher education teaching competencies – particularly in (generative) AI-supported teaching. in addition, we value Innovative spirit in teaching: Motivation to develop and apply new didactic formats in software engineering and artificial intelligence education Interdisciplinary openness: Readiness to collaborate with colleagues in applied computing and AI, digital business transformation, and immersive design Practice and transfer orientation: Proven experience in industry or research projects related to software engineering, artificial intelligence and data-driven applications International perspective: Experience in international contexts or motivation to integrate international software, AI and technology projects into teaching and research. Commitment to institutional development: Willingness to actively shape the foundation and growth of a new university Research profile: A visible research focus in software engineering, artificial intelligence, or data engineering Knowledge and technology transfer: Understanding research as a bridge between science, industry,