Ph.D. position in Data Science for Predictive Maintenance

IÉSEG School of Management
Lille
EUR 40 000 - 60 000
Description du poste

Lille Economics and Management (LEM UMR CNRS 9221) and IÉSEG School of Management in collaboration with Barco invite applications for a fully funded Ph.D. Position in Data Science for Predictive Maintenance at its Lille Campus.


PROJECT DESCRIPTION

In a Barco - IÉSEG School of Management collaboration, the overarching aim of this research project is to innovate in the field of predictive maintenance. Barco is the world-leading technology company in laser cinema projectors. Using all available data from their IoT projectors, we draw on recent advances in the data science field to automatically predict projector failures.

The Ph.D. candidate will be supervised by a multi-disciplinary team: Mr. Philippe Martin (R&D Director – Barco Cinema), Mrs. An Colle (Senior Specialist Cinema Insights – Barco Cinema), Mr. Amitabh Modak (Global Architect Software – Barco Cinema) 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 ACCCSB, EQUIS and AMBA accredited and is a member of the “Conférence des Grandes Écoles”.
  • IÉSEG is member of a CNRS (French National Center for Scientific Research) research lab: LEM.
  • IÉSEG’s faculty is very diverse with 45 different nationalities represented.


ABOUT LILLE ECONOMICS AND MANAGEMENT (LEM)

  • LEM is a research unit, that comprises the CNRS, associating the University of Lille and IÉSEG School of Management
  • LEM comprises about 200 researchers and 100 doctoral students in economics and management.
  • LEM is a young, internationally oriented and dynamic laboratory with a strong scientific ambition.

ABOUT BARCO

  • Barco is a global company with headquarters in Kortrijk (Belgium). Their visualization and collaboration technology helps professionals accelerate innovation in the healthcare, enterprise and entertainment markets. They count over 3,300 visioneers, whose passion for technology is captured in over 500 unique patents.
  • Barco has sites in nearly 30 countries and R&D and/or manufacturing facilities in 10 countries.


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 Kortrijk (on the site of Barco). 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 applicants must submit their application (consisting of a CV, motivation letter and statement of academic performance) through the recruitment platform.For any further question, please contact us by email to k.coussement@ieseg.fr.

APPLICATION DEADLINE

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

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