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

Overview

Characteristics 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 About us velpTEC is an education institute focused on innovative technologies, combining experience from business, future studies, and new educational approaches. Through

What you'll do

• Characteristics 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 About us 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%).
• Your responsibilities 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 findin.

Requirements

• Practical experience with Go, RAG.
• Relevant academic or project background for a Professorship (W2) in Data Science and Digital Systems (100%) (m/f/d) role.
• Strong written and verbal communication in English.
• Comfortable working remotely with distributed teams.

Skills