Ph.d. Position in Data Science for Predictive

il y a 2 jours

Lille, France IÉSEG School of Management Temps plein

**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.

**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**

**APPLICATION PROCEDURE**

**APPLICATION DEADLINE

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