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

velpTEC edutainment

12d•Remote

About The Position

VTH – University of Applied Sciences in foundation (in Gründung) is a private university of applied sciences currently undergoing the process of state recognition. Our degree programs are launching in the fields of digital technologies, engineering, and innovation-driven management. 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%).

Requirements

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.

Nice To Haves

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

Responsibilities

Contributing to the development of the Master's program in Technology Business Management, and assisting in recruiting students
Conducting live sessions on big data, business intelligence, cloud infrastructures, and data-driven technologies in English
Providing academic guidance, mentoring, and support for project and research work; designing and evaluating portfolio assessments, exams, and master's theses
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
Initiating research collaborations and acquiring third-party funding to strengthen applied research at our university
Publishing research findings in academic journals and at relevant conferences, as well as representing the university at specialist presentations and industry events
Willingness to participate in research-related product developments, founding/start-up ventures, and patent applications
Contributing to the university's academic self-governance, helping to further develop the range of study programs, and participating in international collaboration

Benefits

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