InterDigital is looking for Ph.D. students to work on AI/ML applied to Wireless Communications, focusing on developing novel applications, proof-of-concepts, prototypes, and research ideas that integrate machine learning and AI with signal processing and wireless technologies.
Requirements
- Publications or research and development experience in one or more of the following areas: machine learning, deep learning, data mining, optimization.
- Hands on experience with ML frameworks such as Pytorch, Tensorflow.
- Background in wireless communication and/or signal processing is a plus, but not necessary.
Responsibilities
- Develop proof-of-concepts, prototypes and research ideas that tie machine learning and AI technologies with a broad range of signal processing and wireless technologies
- Pushing state of the art in AI/ML for signal processing and wireless communication.
- Formulating and solving real-world problems using non-convex, stochastic, and combinatorial optimization.
- Research and design of ML algorithms that will be at the core of next generation (6G) wireless communication systems.
- Physics informed deep learning for channel modelling and estimation.
- Hardware and energy efficient architectures for real time inference.
- Efficient information exchange and model training in dynamic wireless systems.
Other
- Ph.D. student in EE, Computer Science, Statistics, or relevant discipline.
- Full Time (Resident) onsite
- Los Altos, CA
- We promote long-lasting collaborations with our interns.
- Opportunity to collaborate with leading researchers in their fields.
