Junior AI-Driven EMC Researcher & Simulator

KU Leuven; West-Vlaanderen; Sur place; EUR 42 000 - 55 000; Plein temps

Résumé du poste

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

Qualifications

• Master's degree in Electronics, Electrical Engineering, Computer Science, Applied Physics, or closely related field.
• Research experience or interest in AI/ML, electromagnetic compatibility, and/or simulation-driven engineering.
• Experience with Python and AI/ML frameworks is highly desirable.
• Strong analytical and problem-solving skills.

Responsabilités

• Develop AI-supported methods for EMC risk prioritization, investigation and decision support.
• Research risk-driven simulation strategies for complex electromagnetic interference problems.
• Build and validate prototype AI-assisted EMC investigation workflows with industrial partners.
• Publish research results in leading international journals and conferences.

Connaissances

AI/ML experience

Python

Analytical skills

English writing

Communication skills

Formation

Master's degree

Outils

AI/ML frameworks

Simulation tools

Description du poste

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