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KU Leuven, through its M-Group at Bruges Campus, invites applications for a 2-year fully funded researcher position to advance AI-supported EMC investigation and simulation methods. The project REMEDIS focuses on risk-based EMC design of complex mechatronic systems and partners with industry across semiconductor, medical, and mechatronic sectors.
You will develop AI-driven approaches to EMC risk prioritization, validate simulations, and collaborate with multidisciplinary teams to publish results
At the M-Group at KU Leuven Bruges Campus, we are advancing the future of intelligent mechatronic systems and electromagnetic risk management. Through our EMC laboratory within Flanders Make @ KU Leuven – MPro (FMEC), we combine cutting-edge electromagnetic engineering with artificial intelligence, advanced modelling and industrial innovation. For the newly launched REMEDIS project – A Risk-Based Approach to EMC-Focused Design of Complex Mechatronic Systems – we are looking for an ambitious (junior) researcher to develop next-generation AI-supported EMC investigation and simulation methodologies.
Complex electronic systems increasingly suffer from difficult-to-diagnose electromagnetic interactions. Current EMC investigations often rely heavily on expert intuition, costly iterative testing and simulation workflows that are insufficiently linked to actual risk criticality. REMEDIS addresses this challenge by developing AI-supported decision-support methodologies and risk-driven simulation strategies for EMC engineering.
We are looking for a candidate with the following background:
REMEDIS develops innovative methodologies to support risk-based EMC design and assurance for complex mechatronic systems. The project combines assurance case methodologies, AI-supported investigation workflows and risk-driven simulation strategies to reduce late-stage EMC failures and improve engineering efficiency across multiple industrial sectors.
For more information please contact Prof. dr. ir. Davy Pissoort, mail: davy.pissoort@kuleuven.be or Prof. Mathias Verbeke, mail: mathias.verbeke@kuleuven.be.
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