Fully Funded PhD Thesis – FPGAs for AI
- MSc in Computer Engineering / Computer Science with very good grades.
- Eligible to be enrolled at The University of Utah in the field of engineering (e.g., computer science, electrical engineering, computer engineering)
- Practical experience in deep learning, machine vision and/or machine learning
- Good knowledge of a deep learning framework (e.g., TensorFlow, Keras, PyTorch)
- Practical experience with FPGAs
- Very good knowledge in Python and Verilog