TUe has several open PhD / Post Doc positions in Smart Edge Processors. Please see the attached document for more information and how to apply.
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As the world witnesses the emergence of smart applications for smart applications powered by Artificial Intelligence (AI) in almost every edge device, there is an urgent need for ultra-low-power (ULP) edge AI System-on-Chips (SoC) or Smart Edge Processors (SEP) that offloads the computing closer to the source of data generation to address the limitations (e.g., latency, bandwidth) of cloud or centralized computing.
However, this can only be realized if we can make SEPs at least 100 times more energy-efficient, while offering sufficient flexibility and scalability to deal with AI, which is a fast-moving target.
Our EU-funded project CONVOLVE aims to achieve these targets by taking a holistic approach with innovations at all design stack levels, including memristive circuits, exploiting Compute-in-Memory (CIM) and approximate computing, advanced Deep Learning (DL) models, online learning, exploiting dynamism and reconfiguration at DL-, Architecture- and Circuit-levels, while rethinking the whole compiler stack.
We are looking for excellent, teamwork-oriented, and research-driven candidates with Computer Science, Electrical Engineering, or related background, with very strong software design skills, for joining as PhD and/or Post Doc candidates in any of the following research areas in CONVOLVE .