Ph.D. project in Electrical Engineering that involves the study and development of modern data driven predictive control algorithms.
New technologies for signal processing and control have great potential to increase efficiency of smart buildings. It could be to save energy, increase living comfort, reduce maintenance, or improve management. In this project we will in particular study and develop modern data driven predictive control algorithms. These methods rely on a mix of linear systems theory, optimization, and machine learning. They have proven to be efficient for complex systems with time varying dynamics.
This Ph.D. project will be carried out within the framework of the Dig-It Lab competence center in tight collaboration with industrial partners and as part of a multidisciplinary team of researchers.
Supervision: Professor Magnus Jansson
Last application date: 8 May 2024
Read more about the project: Data Driven Predictive Control for Smart Buildings
Read more the position and apply: Doctoral student in data driven predictive control for smart buildings