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).

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Meet some of our Researchers

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.

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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.

Highlighted projects

Meet some of our Researchers

Our job opportunities

The Electronic Systems group is 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.

Please check out the TU/e vacancy pages for opportunities!

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