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KU Leuven

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PhD Position in Distributed AI-driven Embedded Intelligence for Ubiquitous Sensing – Electrical Engineering KU Leuven in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Mar 23, 2026

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Country

Belgium

University

KU Leuven

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Keywords

Computer Science
Electrical Engineering
Machine learning

About this position

The e-Media Research Lab at the Department of Electrical Engineering (ESAT), KU Leuven, is offering a PhD position focused on distributed AI-driven embedded intelligence for ubiquitous sensing in the sky. This research opportunity is ideal for candidates interested in optimizing distributed machine learning models for resource-constrained devices, with applications in advanced sensing technologies. The position is supported by the Research Foundation Flanders (FWO), a leading agency for research funding in Belgium.

As a PhD researcher, you will join a dynamic team working at the intersection of electrical engineering, computer science, and artificial intelligence. The project aims to develop innovative solutions for embedded intelligence, leveraging distributed AI to enable efficient and scalable sensing systems. The research environment at KU Leuven provides access to state-of-the-art facilities and collaboration with leading experts in the field.

Applicants should have a strong background in electrical engineering, computer science, or a related discipline, and demonstrate high motivation and the ability to work independently. The position is open to candidates with a keen interest in distributed AI, embedded systems, and optimization for devices with limited resources. For more information, you may contact the supervisors, Jona Beysens or Hazem Sallouha.

The application deadline is March 23, 2026. For detailed application instructions and to submit your application, please visit the official KU Leuven jobsite. This is an excellent opportunity for aspiring researchers to contribute to cutting-edge developments in distributed AI and embedded intelligence at a world-class institution.

Funding details

Available

What's required

Applicants should have a strong interest in distributed machine learning, embedded intelligence, and optimization for resource-constrained devices. A relevant background in electrical engineering, computer science, or a related field is expected. High motivation and the ability to work independently are required. Specific degree, GPA, or language requirements are not mentioned.

How to apply

Visit the provided KU Leuven jobsite link for the full application procedure. Contact Jona Beysens or Hazem Sallouha for more information. Prepare your application materials as instructed on the university website.

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