The NanoComputing Research Lab in Integrated Circuits (IC) group within the Department of Electrical Engineering of the Eindhoven University of Technology (TU/e) is seeking to hire an outstanding PhD candidate within the Horizon Europe project PHASTRAC.
In recent years, we have witnessed an explosion of artificial intelligence (AI) applications which will continue to grow over the next decade. An intelligent and digitized society will be ubiquitous, enabled by increased advances in nanoelectronics. Key drivers will be sensors interfacing with the physical world and taking appropriate action in a timely manner while operating with energy efficiency and flexibility to adapt. The vast majority of sensors receive analog inputs from the real world and generate analog signals to be processed.
However, digitizing these signals not only creates enormous amount of raw data but also require a lot of memory and high-power consumption. As the number of sensor-based IoTs grows, bandwidth limitations make it difficult to send everything back to a cloud rapidly enough for real-time processing and decision-making, especially for delay-sensitive applications such as driverless vehicles, robotics, or industrial manufacturing.
In this context, PHASTRAC proposes to develop a novel analog-to-information neuromorphic computing paradigm based on oscillatory neural networks (ONNs). We propose a first-of-its-kind and novel analog ONN computing architecture to seamlessly interface with sensors and process their analog data without any analog-to-digital conversion. ONNs are biologically inspired neuromorphic computing architecture, where neuron oscillatory behavior will be developed by innovative phase change VO2 material coupled with synapses to be developed by bilayer Mo/HfO2 RRAM devices. PHASTRAC will address key issues:
The PHASTRAC consortium includes some of Europe's strongest research groups and industries, covering from device fabrication, circuit and architecture design to end-use applications. We will demonstrate a first-of-its-kind analog-to-information computing paradigm with industrial applications such as intelligent vehicle interior design and human-robotics interactions that opens the road for EU leadership in energy efficient edge computing.
We are seeking highly motivated and talented PhD candidates to join our research team in the exciting field of analog/mixed-signal circuit design for neuromorphic computing based on oscillatory neural networks. This position offers an exceptional opportunity to contribute to cutting-edge research in the development of novel brain-inspired computing architectures for advanced machine learning and artificial intelligence applications.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.
Do you recognize yourself in this profile and would you like to know more?
Please contact Prof. Aida Todri-Sanial, a.todri.sanial[at]tue.nl, https://www.tue.nl/en/research/research-groups/electronic-systems/nanocomputing-research-lab.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
If you are interested in working in an exciting, dynamic, high-tech environment, where you will contribute to creating the society of the future, we invite you to submit a complete application by using the 'apply now' button on this page.
The application should include:
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We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.