Professorship (W2) in Business Information Systems, Business Analytics and Applied AI (100 %) (m/f/d)

CharacteristicsFixed-term employment contract (initially for two years)Full-timeFully remote from Germany or abroad (German working hours) or hybrid from Hanover, Munich or LeipzigPublished on 21.08.2026Application deadline: 31.12.2026Earliest start date: 01.08.2027Teaching 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 Business Information Systems, Business Analytics and Applied AI (100 %). Your responsibilitiesProgram development: Contributing to the development of the Bachelor's program in Digital Business and Transformation, and assisting in recruiting studentsMasterclasses and expert seminars: Conducting live sessions on business information systems, business analytics, applied artificial intelligence and data engineering in EnglishStudent supervision and examination formats: Providing academic guidance, mentoring, and support for project and research work; designing and evaluating portfolio assessments, exams, and bachelor's thesesApplied research: Conducting practice-oriented research and transfer projects in the areas of business analytics, applied artificial intelligence, and data-driven decision-making – in cooperation with industry and research institutionsFunding and cooperation: Initiating research collaborations and acquiring third-party funding to strengthen applied research at our universityPublications and presentations: Publishing research findings in academic journals and at relevant conferences, as well as representing the university at specialist presentations and industry eventsTransfer: Willingness to participate in research-related product developments, founding/start-up ventures, and patent applicationsUniversity 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 degreePedagogical-didactic aptitude confirmed through practical experienceSpecial aptitude for in-depth independent scholarly work, generally evidenced by an above-average doctorate in the fields of business information systems, computer science, data science or related fieldsSpecial 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 data analytics, business intelligence, AI, or information systems roles in industry In addition, we assumeThe 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 valueInnovative spirit in teaching: Motivation to develop and apply new didactic formats in business analytics and applied AI educationInterdisciplinary openness: Readiness to collaborate with colleagues in applied computing and AI, digital business transformation, and immersive designPractice and transfer orientation: Proven experience in industry or research projects related to artificial intelligence and data-driven business applicationsInternational perspective: Experience in international contexts or motivation to integrate international data and AI projects into teaching and research.Commitment to institutional development: Willingness to actively shape the foundation and growth of a new universityResearch profile: A visible research focus in business analytics, applied AI, or data engineering for enterprisesKnowledge and technology transfer: Understanding research as a bridge between science, industry, and society What we offerThe