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Openings at Michigan Tech for neuromorphic computing and Circuit design
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Multiple Master and Ph.D. positions with full RA/TA support are available in Hongyu An's research group starting from Fall 2020 or Spring 2021. Hongyu is an assistant professor at the Electrical and Computer Engineering Department of Michigan Tech. His research interest mainly focuses on Neuromorphic Computing, Neuromorphic Electronic Circuits Design using Emerging Devices, Spiking Neural Networks, and Artificial Intelligence. More information about the principle investigator (PI) can be found on his personal website: https://an-hongyu.github.io/vt/ Neuromorphic computing is an emerging research topic that realizes artificial intelligence by mimicking and recreating the human brain, including neurons, synapse, and neural networks. This approach involves both hardware design and algorithm developing, such as circuit design, FPGA, and neural network algorithms. The potential research directions are: • Training algorithm development and circuit design for spiking neural networks • Neuromorphic computing on Edge computing and Cyber Physical System • Non-von Neumann architecture design for neural networks The candidates are expected with either excellent programming capability or hardware design experience. The projects will be assigned based on your background. Our group currently collaborates with the Neuromorphic Group at Intel Labs using their unique neuromorphic chips. Intel loihi neuromorphic chips are the top tier neuromorphic computing platform in the market. the latest neuromorphic server named Pohoiki, which deployed in 2020. Pohoiki Springs is a large-scale system neuromorphic system built upon Intel Loihi neuromorphic chips. Each Pohoiki Spring consists of 24 Nahuku boards with 768 Loihi chips in total. The 768 chips contain a total of 98,304 neuromorphic cores incorporating a total of 100,663,296 neurons and 99,840,000,000 synapses. More information about the neuromorphic chips of Intel Labs can be found at • https://events.technologyreview. ... omorphic-computing/ • https://www.intel.com/content/ww ... phic-computing.html • https://ieeexplore.ieee.org/document/8259423 Basic Qualifications: • Basic understanding of deep learning, neural networks • Relevant research experience in machine learning, deep learning, artificial intelligence • Hands-on experience with the latest artificial intelligence and machine learning libraries • Programming experience in one or more of the following languages: Python, C++, Java, etc. • Programming experience on deep learning platforms: Pytorch, TensorFlow, etc. • Ability to communicate effectively (both verbal and written) Desired Skills: • Programming experience with Python, Pytorch, TensorFlow, Java, C++, etc. • Experience with Circuit design, Virtuoso, Cadence, HSPICE, Verilog-A, etc. • Good writing and communication skills If interested, please send me your CV, transcript(s), GRE, TOEFL (international applicants only) and sample publications if applicable to email address: hongyua@mtu.edu Other detailed requirements from the department/college can be found at https://www.mtu.edu/ece/graduate/electrical/ |
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