Overview: The WiN-ML group is interested in the holistic design of distributed ML algorithms in wireless networks and developing physics-aided learning solutions for next-generation wireless networks. The team is looking for students who will work on the following thrust:
Thrust-1: work on fundamental research problems of privacy-preserving distributed machine learning in wireless networks
Minimum Requirements:
A bachelor’s degree in electrical/communication/telecommunication/computer engineering/science or any closely related fields
Willingness to learn and grow
Solid foundations in linear algebra and stochastic process
Basic understanding of wireless communication
Basic understanding of optimization and willingness to dive deeper
Basic understanding of different classical machine learning algorithms and willingness to dive deeper
Good at Python programming and have experience with deep learning libraries like PyTorch and/or Tensorflow
Proven track record: no prior publication is necessary as long as your transcripts and CV speak for yourself
Preferred Qualifications:
A prior MS degree in electrical /communication/telecommunication/computer engineering or any closely related fields
Good knowledge of wireless communication
Good knowledge of optimization
Good knowledge of machine learning
Prior experience with developer kits (e.g., NVIDIA Jetson developer kits)