Department of Electrical Engineering

Electronic Systems

Our goal is to create constructive design trajectories for electronic systems that lead to high-quality, cost-effective systems with predictable properties (functionality, timing, reliability, power dissipation, cost).


Designing better ways to design better electronics

Electronic systems are everywhere. They closely interact with the physical systems they are embedded in, with human users, and with other systems connected in networks. Electronic systems are how we are going to create a smart society – if we can solve the societal challenges of reliability, miniaturization and reduction of power dissipation. The Electronic Systems (ES) research group aims to provide a scientific basis for design trajectories for electronic systems, from function to realization, and to do so in collaboration with industry.

Our subprograms

The ES research program targets the design of next generations of electronic systems. It is organized in three subprograms that cover the engineering, system and circuit perspectives. This allows an integral approach to the design of electronic systems.

Research highlight: Machine Learning

Machine learning and in particular deep learning (DL) has dramatically improved the state-of-the-art in object detection, speech recognition, robotics, and many other domains. Whether it is superhuman performance in object recognition or beating human players in Go, the astonishing success of deep learning is achieved by deep neural networks trained with huge amounts of training examples and massive computing resources. Although already applied successfully in academic use-cases and several consumer products (e.g. machine translation), these data and computing requirements pose challenges for further market penetration. Efficient Deep Learning (EDL) is an important focus point of our Smart Electronic Systems and Digital Nanoelectronics subprograms.


Student opportunities

All Master projects offered by the Electrical Engineering department can be found at the Master Project Marketplace. You can login to this website using your TU/e account.

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Highlighted projects

Meet some of our Researchers


Successful launch of TU/e and RU student team's REXUS rocket with their own PR3 payload

To determine the position of a rocket to within a few centimeters during its entire flight – that is what a team of researchers and students from Eindhoven University of Technology and Radboud University Nijmegen have tested during an experimental rocket launch in Sweden on the 11th of March. Their method - up to ten times more accurate than GPS – will enable the better adjustment of rockets in flight so that they can return to land in the right place. In time, the method could possibly also be used to trace lost objects at sea, such as the remains of an airplane wreck or the lost containers that recently washed ashore on the Wadden Islands. Read more



Asst/Assoc/Full Professor Embedded Computer Architecture in Electronic Systems (V36.3890)

Assistant/associate professor position in Efficient Machine Learning (V36.3777)

Assistant Professor Digital Circuits in the Electronic Systems group (V36.3891)

(Associate) Professor in Model-driven Synthesis of Digital Circuits and Systems (V36.3811)

We are always looking for exceptional candidates interested in pursuing a PhD. So if you have (almost completed) a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related area, and if you have expertise and interest in one or more relevant areas, e.g., digital circuits, VLSI, design automation, multiprocessor systems-on-chip, models of computation, compiler technology, embedded systems, IoT, or CPS, you are invited to apply.