Blacksburg, VA30+ days ago
Candidates may focus on one or more domains such as: Semiconductor devices and nanomanufacturing (process control, yield learning, variability, reliability); Photonics and optoelectronics (inverse design, fabrication-aware modeling, nonlinear or multi-physics systems); Quantum and cryogenic platforms (noise modeling, calibration, control, materials-device coupling); Wireless and sensing systems (AI-native PHY/MAC, RF-aware learning, joint sensing-communications); Power electronics and power systems (physics-aware grid modeling, stability, protection, resilience, microgrids); Cross-domain work that transfers Physical AI methods across platforms. The successful candidate will develop AI-native models, digital twins, and control frameworks that bridge the loop between theory, simulation, experimentation, and deployment across one or more of ECE's core strength areas, including:
• Semiconductors and micro/nanofabrication • Photonics and optoelectronics • Quantum and cryogenic devices • Wireless, communications, networking, and sensing systems • Power electronics, power systems, and energy infrastructure.