PhD Candidate in Agentic AI, Strategy, and Industrial Transformation

Conduct applied research on generative and agentic AI in close collaboration with industry partners, focusing on next-generation products and organizations. Co-develop and support the implementation of strategies, business models, products, and processes for generative and agentic AI. Contribute to the design and evaluation of generative and agentic AI systems, including prototypes and live systems in real-world organizational contexts. Derive rigorous, publishable insights from joint projects with industry partners, ensuring both academic excellence and practical relevance. Communicate results through high-impact publications, presentations, and regular interaction with executive (C-level) stakeholders.

As one of Europe's leading universities of economics and business administration, the University of St.Gallen (HSG), Switzerland, is committed to the education of over 10'000 students. The HSG is one of the largest employers in the region and provides an attractive and innovative environment for more than 3'500 researchers, educators and professional staff.

• Strong interest in agentic AI, technology-driven innovation, entrepreneurship, business models, and strategy

• Academic background in business and/or technology (e.g., management, economics, information systems, computer science, or engineering)

• Experience with data analytics, machine learning, natural language processing, generative AI, or AI agents

• Prior experience in applied research, startups, consulting, or venture capital is a plus

• Strong conceptual thinking and excellent communication skills, with confidence in presenting research to interdisciplinary audiences

• Master's degree with a GPA of at least 5.0 (equivalent to 2.0 or better in Germany or Austria), meeting the requirements for PhD admission at the University of St. Gallen

• Proficiency in both German and English (written and spoken) required