Marketing Management

In the Department of Marketing Management at Rotterdam School of Management, Erasmus University, we explore how marketing not only drives value but also shapes society. Our research – from consumer neuroscience and behavioural experiments to machine learning, field trials, and causal analytics – spans critical domains such as brand strategy, sustainability, algorithmic fairness, and human–AI collaboration. By combining methodological rigour with a commitment to societal impact and creating value for companies and organisations, our faculty brings cutting-edge insights and evidence-based solutions to complex real-world challenges.

Prof. Anne-Kathrin Klesse and Prof. Bram Van den Bergh, co-chairs of the Department of Marketing Management.

PhD vacancy in Decision Neuroscience

The Erasmus Center for Neuroeconomics seeks a highly motivated PhD student looking to study decision-making using neuroscience methods (fMRI or EEG). Strong applicants typically have backgrounds in (cognitive) psychology, (cognitive) neuroscience, neuroeconomics, or data science, and are looking to pursue careers as world-class academic researchers. At our Center, students define and execute their own projects in consultation with their advisers, and thus need creativity, self-direction, and a passion for scientific research.

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PhD vacancy in Marketing

The marketing group at Rotterdam School of Management, Erasmus University seeks highly motivated PhD students looking to study topics in marketing, who aim to specialise either in the domain of quantitative marketing or consumer behaviour.

Our PhD program seeks to train the next generation of marketing academics. We want our students to maximise their potential and become independent marketing scholars. We expect students to become experts in a specific domain of choice and define a research agenda around a topic of their choosing. As such, PhD positions in our group are open and students have the opportunity to collaborate with several faculty members when possible. The supervisory team will be formed considering the student’s research interests.

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