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PhD position in the field of Agentic AI and Generative AI - (100% position TV-Hessen E13)
Would you like to complete your doctorate at one of the leading business informatics chairs in the German-speaking world and actively shape the future of artificial intelligence? Are you passionate about topics such as Agentic AI, Generative AI and data-driven platforms - and would you like to research how these technologies can transform organizations and society in a sustainable and human-centric way? Then the doctoral position in the AI-supported data platform for social services project is just right for you!
Prof. Dr. Jan Marco Leimeister's research group is one of the leading business informatics teams in Europe. We offer you the opportunity to complete your doctorate at an internationally visible and excellently networked chair - and to actively shape the future of artificial intelligence.
In a project funded by the Federal Ministry of Research, Technology and Space (BMFTR), we are developing novel agentic AI systems that automatically analyze data, make independent decisions and enable innovative services. We are exploring in the field how social services can be made more intelligent, efficient and user-centered. Our approach combines technological excellence with human-centered design - practical, socially relevant and scientifically leading.
How do we work?
You will take on early responsibility in an interdisciplinary team where you will research and implement new approaches to the design and use of AI-supported data platforms in the social sector. You will work on the design and development of generative and agentic AI systems that support social services, as well as conducting empirical studies with practice partners. Your work will be both independent and in close collaboration with a dynamic consortium of academia, social enterprises and technology partners. We conduct research on real-world economic and socially relevant problems and expect and encourage the development of scientific excellence and publications in leading journals and conferences. Together, we explore how human-AI interactions can be meaningfully designed to enable sustainable, user-centered innovation in the social sector.
We offer you:
- An innovative and practical research environment with direct relevance to current issues in AI and digitalization in the social sector
- The opportunity to do a PhD in the fields of generative AI, agentic AI, data platforms, digital services or human-AI interaction
- Early assumption of responsibility in an interdisciplinary, agile team
- Diverse development opportunities in the field of new technologies and data-driven business models
- An interdisciplinary, dynamic team and close cooperation with leading practice partners and internationally renowned research institutions (e.g. University of St. Gallen, Switzerland; Friedrich-Alexander University Nuremberg Erlangen (FAU); European Research Center for Information Systems (ERCIS))
- Participation in national and international conferences and research stays abroad are encouraged
- Team events and collegial exchange
What convinces us:
- Very good university degree in a relevant discipline, e.g. business informatics, industrial engineering, economics, business psychology or a comparable subject (degree must be available by the recruitment date at the latest)
- Strong interest in AI technologies, especially generative AI, multi-agent systems and data platforms
- Basic knowledge of empirical research methods (quantitative or qualitative) and/or programming skills (e.g. Python, R)
- High level of initiative, ability to work in a team and enjoy interdisciplinary work
Very good communication skills in German and English
The position is in pay group 13 TV-H, temporary and full-time with currently 40 hours per week. The application deadline is September 30, 2025. If you have any questions, please contact research group leader Dr. Mahei Li(mahei.li@uni-kassel.de) or department head Prof. Dr. Jan Marco Leimeister(leimeister@uni-kassel.de) are at your disposal.
The complete call for applications can be found under the following link.