Professorship W2 in Data Science and Digital Systems

This is a fully remote position, open to applicants in Germany.

📋 Description

• Program development: Engage in the design and creation of the Master’s program in Technology Business Management and support student recruitment efforts.

• Masterclasses and expert seminars: Conduct live sessions in English covering big data, business intelligence, cloud infrastructures, and data-driven technologies.

• Student supervision and examination formats: Offer academic guidance, mentoring, and assistance for project and research work; design and evaluate portfolio-based assignments, examinations, and master’s theses.

• Applied research: Undertake practice-oriented research and knowledge-transfer projects in data science, data infrastructures, and digital transformation in partnership with industry and research collaborators.

• Funding and cooperation: Initiate collaborative research efforts and secure external funding to enhance applied research at the university.

• Publications and presentations: Disseminate research findings in academic journals and present at relevant conferences; represent the university at specialized and industry events.

• Transfer: Engage in research-related product development, start-up initiatives, and patent applications when applicable.

• University development: Contribute to the university’s academic governance, assist in expanding the range of study programs, and participate in international collaborations.

⛳️ Requirements

• A completed university degree.

• Proven pedagogical and didactic skills demonstrated through practical teaching experience.

• Special aptitude for independent scholarly work, typically evidenced by an above-average doctorate in Computer Science, Information Systems, Mathematics, Data Science, or a related field.

• Significant accomplishments in applying or developing scientific findings and methods, with a minimum of five years of professional experience, at least three of which should be outside the higher education sector—preferably in data analytics, digital systems, or data-driven business processes.

• Ability and willingness to engage in teaching, research, and transfer activities in English.

• Openness to develop and enhance higher education teaching skills, especially in (generative) AI-supported instruction.

• Innovative teaching approach: eagerness to create and implement new didactic formats in data science and digital systems education.

• Interdisciplinary collaboration: readiness to work with colleagues in AI, blockchain, robotics, and management.

• Practical and transfer orientation: demonstrated experience in industry or research projects that apply data science solutions or digital infrastructures in real-world environments.

• International perspective: experience in international contexts or a desire to incorporate global developments in data and systems science into teaching and research.

• Commitment to institutional growth: eagerness to actively contribute to the establishment and expansion 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: view research as a connection between academia, industry, and society.

🏝️ Benefits

• 15% employer contribution to your company pension plan.

• 3 paid Educational Days per year for professional development, along with 1 additional paid day off annually for volunteer work.

• Access to over 13,000 fitness and wellness facilities through EGYM Wellpass.

• Regular team events and shared experiences.

• Significant autonomy, diverse responsibilities, and a culture that fosters new ideas and innovation.