Contract type: Fixed term contract
Duration: 24 months
The Luxembourg Institute of Science and Technology (LIST) in partnership with a strategic industrial partner will drive significant research and development focused on responding to innovation challenges in tire-related applications and business intelligence.
The primary objective of this project is to foster research excellence and the development of technologies, skills and tools to capture the value of data generated along the manufacturing and business levels of an industrial partner and use them as innovation asset in the tire-related application and services. This will be achieved by broad research approaches which will be built on public-private synergy between LIST and our partner. The project is structured in two programs.
All projects and positions will be co-supervised by LIST senior researchers and our industrial partner professionals who all have a large experience in supervision and project management.
For one of the projects, we are looking for a highly motivated researcher that holds a PhD degree to work on the definition of a framework that allows re-configuring and selecting between different machine learning models. The work will also look at model parameters tuning, error analysis and quality indicators for model selection. The framework will be used to optimize a number of predictive services.