Openings

Wireless Networking and Machine Learning (WiN-ML) group at Utah State University is looking for a fully funded Ph.D. student to work on distributed machine learning . The student will preferably join in Summer/Fall 2026. Please check the following to see if you are a good match for the skill sets we seek.

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)

If you satisfy the requirements, wonderful! Please send me your CV, transcripts, and up to 3 representative publications at 📧 ferdous.pervej@usu.edu , clearly indicating your research interest(s).