Openings to Graduate Students 
Our group is always looking for highly motivated graduate students (both masters and doctoral students) who are strongly committed to research on:
- Neuromorphic Computing and Brain-Inspired Computing 
- AI hardware 
- Brain-Machine Interface and Neural prostheses 
- Artificial Intelligence for Science 
- Robotics Learning 
The projects will be assigned based on the backgrounds of the candidates.
The active research topics can be found in the research.
Direction of Neuromorphic Robotic: 
The students are expected to possess the following skills
- Understanding ROS 
- Robotic sensors, e.g., Lidar, cameras, etc. 
- Background of deep learning, neural networks 
- Programming experience in one or more of the following languages: Python, and C++ 
- Programming experience on deep learning platforms: Pytorch, TensorFlow, etc. 
- Ability to communicate effectively (both verbal and written) 
Direction of Neuromorphic Brain-Machine Interface and AI for Neuroscience: 
The students are expected to possess the following skills:
- Background of Brain-Machine Interface 
- Background of neuroscience, such as neuron models, hippocampus, etc. 
- Background of neuroscience-related diseases, such as Alzheimer's disease 
- Programming experience in languages, such as Python, MATLAB, etc. 
Direction of Neuromorphic AI hardware: 
The students are expected to possess the following skills:
- Background of integrated circuit design 
- Experiences with EDA tools, including SPICE, Cadence Virtuoso, etc. 
If interested, please send your CV, transcript(s), TOEFL (international applicants only), and sample publications (if applicable) to hongyua@mtu.edu.