Professor of Data Science and Applied AI in Business (W3)

Quick Facts

• Role: W3 Professorship in Data Science and Applied AI in Business

• Focus: Interdisciplinary research and applied data science/AI for business contexts

• Teaching: Bachelor’s and master’s courses in German and English; supervision of theses and doctoral candidates

Description

The position supports the expansion of expertise in Data Science and Applied Informatics and is intended to strengthen interdisciplinary cooperation, especially within the Center for Applied Informatics and Data Science (ZAD). The professor will conduct internationally visible, competitive research in Data Science and Applied AI with behavioral-science perspectives in economic and societal contexts, integrating modern Machine Learning, Natural Language Processing, causal modeling, and analysis of unstructured data (text, image, video). In parallel, the role includes teaching, knowledge transfer, and independent acquisition and leadership of third-party funded projects, preferably via DFG or BMBFTR.

Responsibilities

• Represent and develop the field of Data Science and Applied AI in Business in research and teaching, anchored in business administration/management (BWL)

• Teach courses (8 semester hours per semester) in German and English in bachelor’s and master’s programs; train and mentor doctoral candidates

• Develop and expand study offerings; engage in interdisciplinary programs (including the planned Business Informatics program in cooperation with other departments)

• Lead core teaching responsibilities in business informatics; supervise study, internship, and thesis work

• Conduct research and knowledge transfer; contribute to academic self-governance; support early-career researchers

• Secure, initiate, and manage third-party funded research projects, preferably supported by DFG or BMBFTR; collaborate with other chairs within and beyond the faculty

• Participate in the Gießen Graduate Center for Social, Economic, and Legal Sciences (GGS); expand international cooperation; integrate international perspectives into teaching

• Integrate gender and diversity aspects into research and teaching

Requirements

• Completed university degree

• Outstanding PhD in a thematically relevant area

• Additional academic achievements (e.g., habilitation or relevant peer-reviewed publications)

• Proven success in acquiring and leading third-party funded projects (preferably DFG or BMBFTR)

• Pedagogical qualification and relevant teaching experience (positive teaching evaluations are beneficial)

• Readiness and ability to teach in German and English

• Internationally visible research profile with high-ranking publications and national/international conference participation

• Solid research experience abroad in a non-German-speaking country

• Interdisciplinary research profile at the interface of business economics and computer science supported by publications in both areas

• Prior research that is connectable to existing faculty and ZAD research activities

• Experience in knowledge transfer, including transfer projects, development and provision of open-source software, and support of start-ups and spin-offs

• Experience presenting research results in national and international media

Benefits

W3 professorship position with responsibilities spanning research, teaching, knowledge transfer, and academic community building.