Host: KUL (BE) Main supervisor: Prof. Tim Claeys Co-supervisors/mentors: Prof. Frank Leferink (UT, NL), ing. Ronny Deseine (Barco, BE), Prof. Mathias Verbeke (KUL, BE) Duration: 36 months Required profile: Electrical Engineering Desirable skills/interests: Electromagnetism, antenna theory, signal processing, measurement techniques,… Objectives: DC15 will explore how AI can enhance the efficiency and accuracy of near-field – adaptive sampling on (aged) deployed products. Special emphasis is placed on optimizing near-field sampling, as it captures all radiant energy affecting the EM integrity of the entire system. This aims to reduce the duration of lengthy EMC tests and enable in-situ testing. Factors such as human errors during installation, product aging, corrosion, shock, vibration, and interactions between subsystems will also be considered. To address this challenge, DC15 will work on an AI/ML approach combining advanced sampling, modeling techniques, and electronically switched probe arrays. Secondments (2-4 months in total): Barco (BE) and TU/e (NL)