Professorship (W2) in Data Science and Digital Systems (100%) (m/f/d)

• Fixed-term employment contract (initially for two years)
• Full-time
• Hannover, Munich, Leipzig, Remote
• Published on 30.07.2026
• Application deadline: 31.12.2026
• Earliest start date: 01.08.2027
• Teaching load of 18 SWS

velpTEC 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 Data Science and Digital Systems (100%).

• Program development: Contributing to the development of the Master's program in Technology Business Management, and assisting in recruiting students
• Masterclasses and expert seminars: Conducting live sessions on big data, business intelligence, cloud infrastructures, and data-driven technologies 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 master's theses
• Applied research: Conducting practice-oriented research and transfer projects in the areas of data science, data infrastructures, and digital transformation – 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

The 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, Information Systems, Mathematics, Data Science, 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 data analytics, digital systems, or data-driven business processes

• 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.

• Innovative spirit in teaching: Motivation to develop and apply new didactic formats in data science and digital systems education
• Interdisciplinary openness: Readiness to collaborate with colleagues in AI, blockchain, robotics, and management
• Practice and transfer orientation: Proven experience in industry or research projects related to implementing data science solutions or digital infrastructures in real-world contexts
• International perspective: Experience in international contexts or motivation to integrate global developments in data and system sciences 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 big data analytics, cloud systems, AI-based data analysis, or digital infrastructures
• Knowledge and technology transfer: Understanding research as a bridge between science, industry, and society

• The opportunity to shape the development of a new university and its programmes right from its foundation.
• A professorship with a clear focus on teaching, quality assurance, and applied research.
• Interdisciplinary collaboration with colleagues in robotics, blockchain, additive manufacturing, and innovation management.
• Modern digital infrastructure and an innovative environment without outdated structures.
• Collaboration with the Center for Higher Education Teaching (Kompetenzzentrum Lehre) at FAU Erlangen-Nürnberg on the development of higher education teaching competencies.
• Fully remote in Germany or hybrid work from one of our offices in Hanover, Munich, or Leipzig
• Flexible working hours coordinated within your team (no weekend work) – doctor's appointments, childcare, and other important commitments are easy to accommodate
• 15% employer contribution to your company pension plan
• 3 paid Educational Days per year for professional development + 1 additional day of annual leave for volunteer work
• Access to 13,000+ fitness and wellness facilities through EGYM Wellpass
• Regular team events and shared experiences
• Plenty of autonomy, varied responsibilities, and a culture that encourages new ideas and innovation

• Please submit your application, together with the required documents, in English via our online portal. You can access the online portal through the "Auf diese Stelle bewerben" button. Unfortunately, we are unable to consider applications submitted by post or email.
• The following application documents are expected; mandatory documents are marked with *: 
  • *Cover letter
  • *CV (including an overview of previous employment since your first university degree, providing information on subject-related and application-oriented professional experience relevant to the advertised professorship; supporting documents such as employment references are welcome)
  • *Final certificate from the last general education school attended
  • *Certificates and/or diplomas for academic degrees (e.g., diploma, bachelor's, master's, doctorate)
  • *List of teaching activities
  • *Evidence of pedagogical-didactic aptitude (e.g., certificates for higher education teaching training, evaluation results of courses taught, teaching-related awards or scholarships)
  • *List of research activities
  • *List of publications and, where applicable, presentations
  • If applicable, list of third-party funding acquisitions
  • If applicable, list of international experience and cooperations
• Application documents must be submitted as scans. Please use the upload fields provided in the online portal. For your cover letter, use the "Anschreiben" upload; for your CV, use the "Lebenslauf" upload; and for your employment references, use the "Arbeitszeugnis" upload. For all other documents, please use the "Andere" upload.
• The recognition of foreign educational qualifications requires proof of equivalence. Initial points of contact can be found via the portal www.anerkennung-in-deutschland.de or https://zab.kmk.org/de/zeugnisbewertung.
• Equal opportunity and diversity are actively promoted and practiced at VTH – University of Applied Sciences in foundation (in Gründung). This position is explicitly open to people of all genders (m/f/d). Applications from female scientists are expressly welcomed.
• Application costs will not be reimbursed.