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Ph.D. position in Business Analytics – Data Science

Ph.D. position in Business Analytics – Data Science

Lille Economics and Management (LEM, CNRS UMR 9221) and IÉSEG School of Management invite applications for a fully funded Ph.D. position in Business Analytics – Data Science at its Lille campus.


  • IÉSEG is AACSB, EQUIS and AMBA accredited and is a member of the “Conférence des Grandes Écoles.”
  • The IÉSEG Research Center is accredited by the French National Center for Scientific Research (CNRS).
  • IÉSEG’s faculty is very diverse with more than 40 different nationalities represented.


  • LEM is a research unit associating the CNRS (National Center for Scientific Research), the University of Lille and the Catholic University of Lille
  • LEM comprises about 150 researchers and 100 doctoral students in economics, management and statistics.
  • Research at LEM is multi-disciplinary in economics and management and is centered on societal issues.
  • LEM is a young, internationally oriented and dynamic laboratory with a strong scientific ambition.


The doctoral researcher will be supervised by Prof. Kristof Coussement and Dr. Arno De Caigny. The researcher will be hosted in the research team of ICMA, the Center for Marketing Analytics of IÉSEG School of Management (Paris & Lille, France): a knowledge hub formed by a team of academic experts with a proven track record in the fields of marketing/business analytics and data science.

You can find out more about the IÉSEG Center for Marketing Analytics here.

Ph.D. position in Business Analytics – Data Science


  • Have a MSc. (or be close to completion) in business analytics, computer science, statistics, engineering or similar. He/she is expected to possess strong analytical skills and have a commitment to research excellence.
  • He/she should also display a high level of team-spirit.
  • Applicants should be preferably fluent in both English and French.

We are looking for candidates whose research interests are related to business analytics summarized by one or multiple of the following keywords, amongst statistical and machine learning algorithms, (rule-based/hybrid) ensembles, predictive modeling, deep learning, R, Python, SAS, Spark, (NO/)SQL, web analytics, web scraping, social media analytics, data mining, recommendation tools, process mining, social network analytics, text mining, visual analytics, and/or big data analysis tools. In-depth knowledge in the field of text mining or audio mining is a plus.


The selected applicant is expected to begin his/her assignment in September 2020. Gross salary will be competitive with other European research and academic institutions. The researcher will be based in Lille (on the site of IESEG School of Management). The PhD position is in close collaboration with a large European financial services provider.


Interested applicants must send their curriculum vitae in a PDF document bearing the applicant’s name and the reference code “Business Analytics-data science” reserved for this opening by email at [email protected]

For any further questions, please contact us by e-mail.


We will begin considering candidates immediately and will continue until the position is filled. We encourage you to submit your application as soon as possible.

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