PhD Opportunity: Quantitative Marketing & AI Research

University of St.Gallen; Lavamünd; Vor Ort; EUR 42.000 - 62.000; Vollzeit

Zusammenfassung

The University of St.Gallen invites applications for a full-time research associate to perform rigorous research at the intersection of marketing, technology and quantitative modeling. You will develop econometric and machine-learning models and analyze large-scale data to identify causal effects of marketing actions.

You will collaborate with industry partners on field experiments and contribute to publications in top journals, supported by excellent infrastructure and international partners.

Qualifikationen

• 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.
• 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

English proficiency

Ausbildung

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

Tools

R

Python

Jobbeschreibung

The University of St.Gallen invites applications for a full-time research associate to perform rigorous research at the intersection of marketing, technology and quantitative modeling. You will develop econometric and machine-learning models and analyze large-scale data to identify causal effects of marketing actions.

You will collaborate with industry partners on field experiments and contribute to publications in top journals, supported by excellent infrastructure and international partners.