Lille Economics and Management (LEM, CNRS UMR 9221) and IÉSEG School of Management invite applications for afully funded Ph.D. Position in Data Science at its Lille Campus.

PROJECT DESCRIPTION

In a Bleckmann - IÉSEG School of Management collaboration, the overarching aim of this research project is to innovate in the field of predictive analytics in the logistics sector. Bleckmann is the world-leading logistics company. Using all available data from their data warehouse, we draw on recent advances in the data science field to design various interesting research problems.

The Ph.D. candidate will be supervised by a multi-disciplinary team: Peter Van Butsel (CIO - Bleckmann), Astra Vandenbussche (Business Intelligence Manager) and Prof. Dr. Kristof Coussement (IÉSEG School of Management).

The selected Ph.D. candidate will be part of the IÉSEG Center for Marketing Analytics research team (click here for more information).

ABOUT IÉSEG SCHOOL OF MANAGEMENT

• 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.

ABOUT LILLE ECONOMICS AND MANAGEMENT (LEM)

• 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.

QUALIFICATIONS

• Have an MSc. (or be close to completion) in a relevant field, such as computer science, information systems, (business-)engineering or related with excellent grades.
• Strong analytical skills and commitment to research excellence.
• Strong programming experience in Python.
• Experience with big data analytics, Azure Databricks, and PySpark is a plus.
• Familiarity with and interest in machine learning, AI and analytics.
• Interested in the field of cinema, entertainment & predictive maintenance.
• Excellent command of written English.
• Ability to work effectively in teams.
• Willingness to travel.

WORKING CONDITIONS

The selected applicant is expected to begin his/her assignment beginning 2025. The exact starting date will be determined in accordance with the applicant. Gross salary will be competitive with other European research and academic institutions. The Ph.D. student will be based in Lille (on the site of IÉSEG School of Management) and Waregem (on the site of Bleckmann). The selected candidate will have to enroll in a Ph.D. programme at the University of Lille. The Ph.D. student will get all the means and support to engage in innovative research projects with high potential to get published in international peer reviewed journals.

APPLICATION PROCEDURE

Interested candidates must send their application(consisting of a CV, motivation letter and statement of academic performance) through this platform. To submit your application, please click on "apply" and follow the submission process.

For any further question, please contact us by e-mail to phd.recruitment@ieseg.fr or k.coussement@ieseg.fr .

APPLICATION DEADLINE

We will begin considering candidates immediately. The deadline to apply is December 30 th , 2024. Interested candidates are encouraged to submit their application file as soon as possible.

Service Postes Académiques / Academic positions Role Teaching & Research Assistant (doctoral position) Locations Campus Lille