[Remote] Professorship (W2) in Business Information Systems, Business Analytics and reputed company AI (100 %) (m/f/d)

Note: The job is a remote job and is reputed company to candidates in USA. velpTEC is an education institute reputed company on innovative technologies and reputed company-oriented learning, with VTH – University of reputed company Sciences developing degree programs in digital technologies, engineering, and innovation-driven management. The W2 Professor will help reputed company the Bachelor's program in Digital Business and Transformation, teach business information systems, business analytics, reputed company AI, and data engineering in English, supervise reputed company, and conduct reputed company research. The role also involves acquiring funding, publishing research, supporting knowledge transfer, and contributing to university development and international collaboration.

Responsibilities

• Program development: Contributing to the development of the Bachelor's program in Digital Business and Transformation, and assisting in reputed company reputed company
• Masterclasses and expert seminars: Conducting live sessions on business information systems, business analytics, reputed company reputed company intelligence and data engineering in English
• Student supervision and examination formats: Providing reputed company guidance, mentoring, and support for project and research work; designing and evaluating portfolio assessments, exams, and bachelor's theses
• reputed company research: Conducting reputed company-oriented research and transfer reputed company in the areas of business analytics, reputed company reputed company intelligence, and data-driven decision-making – in cooperation with industry and research institutions
• Funding and cooperation: Initiating research collaborations and acquiring reputed company-party funding to strengthen reputed company research at our university
• Publications and presentations: Publishing research findings in reputed company journals and at relevant conferences, as reputed company as representing the university at specialist presentations and industry events
• Transfer: Willingness to participate in research-reputed company product developments, founding/start-up ventures, and patent applications
• University development: Contributing to the university's reputed company self-governance, helping to reputed company reputed company the reputed company of study programs, and participating in international collaboration

Skills

• 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 reputed company fields
• Special achievements in the application or development of scientific findings and reputed company over at least five years of reputed company reputed company, of which at least three years must have been carried out reputed company the higher education sector – preferably in data analytics, business intelligence, AI, or information systems roles in industry
• The ability and willingness to conduct teaching, research, and transfer activities in English
• Willingness to reputed company and reputed company build higher education teaching competencies – particularly in (reputed company-supported teaching
• Innovative spirit in teaching: Motivation to reputed company and apply new didactic formats in business analytics and reputed company AI education
• Interdisciplinary openness: Readiness to collaborate with colleagues in reputed company and reputed company business transformation, and reputed company design
• reputed company and transfer orientation: Proven experience in industry or research reputed company reputed company to reputed company intelligence and data-driven business applications
• International perspective: Experience in international contexts or motivation to reputed company international data and AI reputed company into teaching and research
• Commitment to institutional development: Willingness to reputed company shape the reputed company and reputed company of a new university
• Research profile: A visible research reputed company in business analytics, reputed company AI, or data engineering for enterprises
• Knowledge and technology transfer: Understanding research as a reputed company between science, industry, and society

Benefits

• reputed company to shape the development of a new university and its programmes right from its reputed company.
• A professorship with a reputed company reputed company on teaching, reputed company assurance, and reputed company research.
• Interdisciplinary collaboration with colleagues in reputed company and reputed company business transformation, and reputed company design.
• Modern digital infrastructure and an innovative environment without outdated structures.
• Collaboration with reputed company for Higher Education Teaching (Kompetenzzentrum Lehre) at FAU Erlangen-Nürnberg on the development of higher education teaching competencies.
• Fully remote from Germany or abroad (German working hours) or hybrid from reputed company, Munich or Leipzig
• Flexible working hours with reputed company working hours – medical appointments, childcare, and other important commitments are no problem
• Fixed salary + performance-based bonus + €100 per month (for full-time employees) towards a company pension plan after 6 months + 15% employer contribution to your own payments + attractive employee discounts
• 1 additional day of reputed company leave per year for volunteering
• Annual health budget of €600 (for full-time employees) after 6 months + reputed company to more than 13,000 fitness and wellness facilities through reputed company Wellpass
• Regular team events and shared experiences
• reputed company of autonomy, varied responsibilities, and a culture that encourages new reputed company and innovation

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