PhD in Quantitative Marketing & AI — Independent Research

Universität St.Gallen; Sankt Gallen; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Zusammenfassung

The University of St.Gallen invites applications for a full-time research associate position (100%) serving as a PhD student in marketing, technology, and quantitative modeling. You will pursue your own research agenda with strong methodological support and exposure to international projects.

You will develop econometric, structural, and machine-learning models, analyze large-scale data, and collaborate with leading Swiss and global partners.

Qualifikationen

• A strong background in economics, statistics, data science, or related fields.
• Strong programming skills in R or Python; experience with large-scale data is a plus.
• Excellent command of written and spoken English; knowledge of German is beneficial.

Aufgaben

• 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

Kenntnisse

Programming in R or Python

Large-scale data experience

English language proficiency

Ausbildung

Above-average degree in economics, statistics, data science, quantitative marketing, computer science, or related fields

Jobbeschreibung

The University of St.Gallen invites applications for a full-time research associate position (100%) serving as a PhD student in marketing, technology, and quantitative modeling. You will pursue your own research agenda with strong methodological support and exposure to international projects.

You will develop econometric, structural, and machine-learning models, analyze large-scale data, and collaborate with leading Swiss and global partners.