Doctoral Researcher in Hardware-Aware AI for Analog and RF Circuits
Core
Build hardware-aware behavioral models of analog and RF circuits in Python to enable energy-efficient AI-driven 6G transmitters.
Role type
Doctoral Researcher (PhD student) in Hardware-Aware AI for Analog and RF Circuits
Builds
Hardware-aware AI models for analog and RF circuits
Domain
6G wireless communication, analog and RF circuit design, machine learning
Deliverable
production ML models
Required skills
Machine learning with Python, neural network training (PyTorch), analog circuit theory, signals and systems
Preferred skills
Laboratory measurements of analog/RF circuits, signal processing for wireless communication, transistor-level circuit design and simulation
Technologies
Python, PyTorch, Cadence, Synopsys
Responsibilities
Build hardware-aware behavioral models, validate models against simulations and measurements, perform hardware-algorithm co-design, publish research results, contribute to teaching duties
Seniority
PhD student (early career researcher)