Researcher for big data energy aware scheduling for sustainable manufacturing for industry 4.0
The "WAVES" research group is the expertise center of the Department of Information Technology of Ghent University/IMEC in Belgium for scheduling and recommending research.
With the emerging industrial transition toward Industry 4.0, the penetration of Internet-of-Things (IoT) technologies into manufacturing industry (industrial IoT, or IIoT) enables collecting these various data in a cheaper and more flexible manner. This unlocks an enormous potential of big data technologies applied to production lines. Nowadays, decisions in planning and production execution systems are mainly based on traditional performance metrics, without any consideration on energy consumption. Thanks to IIoT it will be possible to optimize production efficiency and energy consumption in industry.
Important research domains in the context of scheduling for manufacturing in industry 4.0 are:
- Data mining techniques for energy and cost efficiency in manufacturing.
- Optimization of energy consumption of individual machines and on multi-machine level
- Development of energy-aware Scheduling algorithms
- Innovative algorithms to increase efficiency and decrease labor cost accounting for delivery times
We are looking for enthusiastic candidates to perform research in the domains above in both national and international European projects. Candidates with a Master degree in Electrical engineering and computer engineering qualify for this research job. Experience is not necessary but interest in optimization and big data is a definite plus.
What do we offer? We offer a pleasant work climate within a young dynamic team and the possibility of obtaining a PhD. If you are interested in joining our research team, address your application letter and curr. vitae to:
Isabelle Van der Elstraeten
Ghent University, INTEC - WAVES