G. (Gui) Liberali

Endowed Professor
RSM - Rotterdam School of Management
Erasmus University Rotterdam
Fellow ERIM
Field: Marketing
Affiliated since 2010

Gui Liberali is the Endowed Professor of Digital Marketing at the Rotterdam School of Management (RSM) of the Erasmus University. He holds a doctorate in marketing and a B.Sc. in computer science. His work has appeared on Marketing Science, Management Science, International Journal of Marketing Research, Sloan Management Review, and European Journal of Operational Research. His research interests include optimal learning, multi-armed bandits, digital experimentation, natural language processing, morphing theory and applications (e.g., website morphing, ad morphing), dynamic programming, machine learning, and product line optimization. Personal webpage: www.guiliberali.org

  • G. Liberali (2016). Research & development grant - Takeoff studies - Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO). Overig.
  • G. Liberali (2013). Top Talent Researcher, Erasmus School of Economics 2013. Overig.
  • G. Liberali (2010). John D.C. Little Best Paper Award - Finalist. Overig.
  • G. Liberali (2010). Salary Grant (Two Years) - Marie Curie Actions - European Comission. Overig.
  • G. Liberali (2009). Emerald Group Citation of Excellence, top 50 of 15000 Papers in Management Journals. Overig.
Xin Zhou

E-commerce success: traffic, bouncing and conversion

  • Role: Daily Supervisor
  • PhD Candidate: Xin Zhou
  • Time frame: 2015 -

Editorial positions

  • Management Science

    Ad Hoc Reviewer

  • International Journal of Research in Marketing

    Co-Editor Special Issue

  • Marketing Science

    Ad Hoc Reviewer

  • International Journal of Research in Marketing

    Member Editorial Review Board

  • Journal of Marketing Research

    Ad Hoc Reviewer

Side positions

  • Co-Chair of the 1st Joint Symposium AMA(American Marketing Association)-EMAC(European Marketing Academy)

    Co-Chair of the Symposium, along with Eitan Muller, Roland Rust, and Stefan Stremersch

  • Erasmus Center for Marketing and Innovation (ecmi.nl)

    Co-founder (2012) and co-director (2012-2014)

  • Marketing Seminar Series at Erasmus University

    Coordinator 2010-2012

  • eCode - Erasmus Center for Optimization of Digital Experiments (www.erim.nl/ecode)

    Scientific Director

Doctoral Research in Marketing Science

The Department of Marketing at the Rotterdam School of Management – Erasmus University is inviting applications for a PhD project in the area of marketing science. In particular, we have positions open for talented students interested in learning and developing machine learning models that use natural language processing (e.g., text-analysis), and online multi-armed bandits e.g., models that help firms make optimal decisions on how to allocate resources when designing and personalizing digital products.

The successful applicant and the supervisory team will jointly determine the specific research to be pursued, but we have identified fundamental research opportunities on: 

• methods to help firms handle unstructured consumer input such as online reviews on Amazon.com, and consumer opinion expressed on Twitter and blogs.

• methods to help firms optimally interact with consumers in online settings, such as when making product recommendations.

These topics are part of larger on-going research collaborations with colleagues in top schools that produced impactful published papers on first-tier journals. When working on these topics, we detected new major research challenges that have very high potential for publication and impact on practice, so we are looking forward to the incoming cohort of talented aspiring PhD applicants interested in building successful careers as high-impact researchers and scholars.

We are looking for highly motivated applicants with enthusiasm about these or similar topics and with the initiative and drive needed to pursue several research ideas within these broad areas. The research will be based on theoretically-grounded empirical analysis of marketing problems, and draw primarily on fundamentals from multi-armed bandit models, machine learning (e.g., natural language processing and classification methods), and Bayesian statistics. 
We provide full tuition plus a stipend, and full access to the resources and facilities at RSM. In addition to the intensive training and research activity of a quantitative PhD program, we also provide funding for a 3-6 months stay in top schools in the U.S. to help the student develop her or his own research network as an independent scholar.

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Visiting address

Office: Mandeville Building T10-14
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam

Latest publication

G. Liberali (2016). Research & development grant - Takeoff studies - Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO). Overig.