Openings for Artificial Intelligence, Brain-Machine Interfacing, and Robot Le...

Title: Multiple Openings for Artificial Intelligence, Brain-Machine Interfacing, and Robot Learning (Spring 2023 and Fall 2023)
Multiple Master's and Ph.D. positions with full RA/TA support are available in Hongyu An's research group on the research topics of Brain-Inspired Computing, Neuromorphic Computing, Brain-Machine Interfacing, Robot Learning, and Energy-efficient Neuromorphic Electronic Circuit Design for Artificial Intelligence.
Our group currently focuses on Artificial Intelligence, Neuromorphic Computing, and their applications:
•        Robot Learning: Energy-Efficient Online learning through Spiking Neural Networks and Neuromorphic systems.   
•        Real-time Closed-Loop Deep Brain Stimulation (CL-DBS) System using neuromorphic chips for Parkinson’s disease treatment.
•        Energy-efficient Neuromorphic Electronic Circuit Design for Closed-Loop Deep Brain Stimulation (CL-DBS) System.
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, Intelligent Robotics, and Medical Applications. More information about the principal investigator (PI) can be found on his personal website: https://sites.google.com/mtu.edu/hongyu and official website at https://www.mtu.edu/ece/department/faculty/an/
Neuromorphic computing is an emerging research topic that realizes artificial intelligence by mimicking and recreating the human brain, including neurons, synapses, and neural networks. This approach involves both hardware design and algorithm development, such as circuit design and neural network algorithms.
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 neuroinformatic of ETH Zurich, on robotics, spiking neural networks, and medical applications. The group also has multiple ClearPath mobile robotics and Deep Brain Stimulation systems for our medical applications. Moreover, the group, as a neuromorphic community of intel labs, has the access to the Intel Loihi neuromorphic chips, which are the top-tier neuromorphic computing platform in the market.
Our lab also has Clearpath Jackal mobile robot equipped with numerous sensors and computing platforms, such as Lidar Velodyne VLP-16, 1 Camera Stereolab Zed 2 Stereo, Nvidia Jetson Tk1, etc. Michigan Tech has both indoor and outdoor intelligent robot research testing environments. The Department of Electrical and Computer at Michigan Tech has two indoor robot research labs, which are 834 and 978 square feet. The indoor intelligent robot labs can conduct real-time testing on decision making, traffic light recognition, and navigation, etc.
The candidates are expected to either excellent programming capability or hardware design experience. The projects will be assigned based on your background.
Desired Skills:
•        Basic understanding of deep learning, artificial neural networks.
•        Programming experience in one or more of the following languages: Python, MatLab, etc.
•        Programming experience on deep learning platforms: PyTorch, TensorFlow, etc.
•        Ability to communicate effectively (both verbal and written).
•        ROS system.
•        Computational Neuroscience background is a big plus.
If interested, please send me your CV, transcript(s), 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/