Prof. Dr. Reto Hofstetter forscht im Bereich Marketing mit quantitativen und experimentellen Methoden und publiziert in Top-Journals wie dem Journal of Marketing und dem Journal of Consumer Research.

Nikolas Köpfer ist wissenschaftlicher Mitarbeiter und Doktorand am Lehrstuhl von Prof. Dr. Reto Hofstetter.

As a PhD student, you will:

• Conduct independent, methodologically rigorous research at the intersection of marketing, technology and quantitative modeling
• Develop and apply econometric, structural, and machine-learning-based models to marketing questions
• Analyze large-scale field, market, or platform data to identify causal effects of marketing actions (e.g., pricing, advertising, AI-driven personalization, ...)
• Design and analyze field experiments and quasi-experimental studies in collaboration with industry partners
• Partner with leading Swiss and international companies on applied, data-intensive research projects

Your Profile:

• An above-average degree in economics, statistics, data science, quantitative marketing, computer science, or related fields
• Strong interest in quantitative and methodological questions in marketing and technology/AI
• Strong programming skills in R or Python; experience with large-scale or field data is a plus
• A high level of personal initiative and goal orientation
• Excellent command of written and spoken English; knowledge of German is beneficial
• Exceptional analytical and conceptual abilities

This is a full-time research associate position (100%), salaried in accordance with the university's guidelines.

The chair of Prof. Dr. Reto Hofstetter offers a young, highly motivated environment with excellent infrastructure. You will have the freedom to pursue your own research agenda, the time to do it properly, and financial support for your projects, from data collection and participant incentives to conference travel. We encourage you to publish in top-tier journals (e.g., JCR, JMR) and support your development through continued training at international institutions (e.g., GSERM, University of Michigan, ESADE). Our projects run in cooperation with top international universities (e.g., Columbia or Stanford) and leading companies. Regular conference participation helps you build your own international network early on.

The University of St.Gallen is among the leading business schools in Europe, with a large and active doctoral community.