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Professorship; W2) in Business Information Systems, Business Analytics and Applied AI m​/f​/d

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: velpTEC edutainment
Full Time position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    Data Scientist
  • Education / Teaching
    University Professor, Academic, Data Scientist
Salary/Wage Range or Industry Benchmark: 104000 - 150000 USD Yearly USD 104000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Professorship (W2) in Business Information Systems, Business Analytics and Applied AI (100 %) (m/f/d)

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 21.08.2026
  • Final date to receive applications: 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 Business Information Systems, Business Analytics and Applied AI (100 %).

Your responsibilities
  • Program development:
    Contributing to the development of the Bachelor's program in Digital Business and Transformation, and assisting in recruiting students
  • Masterclasses and expert seminars:
    Conducting live sessions on business information systems, business analytics, applied artificial intelligence 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 business analytics, applied artificial intelligence, and data-driven decision-making – 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 requirements

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 business information systems, computer science, 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, business intelligence,…
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