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Multiple Ph.D. positions with full RA/TA support are available for embodied AI
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Multiple Master's and Ph.D. positions with full RA/TA support are available in Hongyu An's research group (https://sites.google.com/mtu.edu/hongyu). Hongyu is an assistant professor at the Electrical and Computer Engineering Department of Michigan Tech. His research interest mainly focuses on Neuromorphic Computing, Robotic Learning, and Medical Applications. Neuromorphic computing (NC) is an emerging research topic that realizes artificial intelligence by emulating and building the human brain, including neurons, synapses, and Spiking Neural Networks. This approach involves both hardware design and algorithm development, such as circuit design, FPGA, neural network algorithms, edge computing, etc. Recently, the group has been applying NC to intelligent robotics and robotic learning. The project goal is to develop a self-learning robotic system that does not rely on massive datasets and can directly learn from constant interaction with the surrounding environment. The group closely collaborates with top research groups/institutes, including Intel neuromorphic research lab (Loihi chips), Sandia National Labs, Oak Ridge National Labs, Institute of Neuroinformatics of ETH Zurich, on robotics, spiking neural networks, and medical applications. The group also has multiple ClearPath jackal mobile robotics, emerging neuromorphic chips, Lidar, and other robotic sensors for our robot learning. Moreover, the group, as a neuromorphic community of Intel Labs, has access to the Intel Loihi neuromorphic chips, which are the top-tier neuromorphic computing platform in the market. The ideal candidates are expected to have extensive experience in • Understanding ROS • Robotic sensors, e.g., Lidar, cameras, etc. • Basic understanding of deep learning, neural networks • 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) If interested, please send me your CV, transcript(s), GRE, TOEFL (international applicants only), and sample publications if applicable to the 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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