Professorship (W2) in Data Science reputed company Systems (100%) (m/f/d)

About the position VTH – University of reputed company Sciences in reputed company (in Gründung) is a private university of reputed company 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 reputed company help shape our innovative learning environment. We are filling a W2-Professorship in Data Science reputed company Systems (100%). Responsibilities • Contributing to the development of the Master's program in Technology Business Management, and assisting in reputed company reputed company • Conducting live sessions on big data, business intelligence, reputed company infrastructures, and data-driven technologies in English • Providing reputed company guidance, mentoring, and support for project and research work; designing and evaluating portfolio assessments, exams, and master's theses • Conducting reputed company-oriented research and transfer reputed company in the areas of data science, data infrastructures, reputed company transformation – in cooperation with industry and research institutions • Initiating research collaborations and acquiring reputed company-party funding to strengthen reputed company research at our university • Publishing research findings in reputed company journals and at relevant conferences, as reputed company as representing the university at specialist presentations and industry events • Willingness to participate in research-reputed company product developments, founding/start-up ventures, and patent applications • 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 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 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, digital systems, or data-driven business processes • 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. reputed company-to-haves • Innovative spirit in teaching: Motivation to reputed company and apply new didactic formats in data science reputed company systems education • Interdisciplinary openness: Readiness to collaborate with colleagues in AI, blockchain, robotics, and management • reputed company and transfer orientation: Proven experience in industry or research reputed company reputed company to implementing data science solutions or digital infrastructures in reputed company-world contexts • International perspective: Experience in international contexts or motivation to reputed company global developments in data and reputed company sciences 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 big data analytics, reputed company systems, AI-based data analysis, or digital infrastructures • 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 robotics, blockchain, additive manufacturing, and innovation management. • 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 in Germany or hybrid work from one of our offices in reputed company, Munich, or Leipzig • Flexible working hours coordinated reputed company 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 reputed company Educational Days per year for reputed company development + 1 additional day of annual leave for volunteer work • reputed company to 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 Apply tot his job Apply To this Job