Postdoctoral Scholar - Electrical Engineering Werner Group
Core
Developing numerical analysis approaches using Machine Learning based multi-physics tools for predictive modeling, high-dimensional optimization, uncertainty quantification, and forward/inverse design of advanced RFIC Phased Array Antenna Systems.
Role type
Postdoctoral Scholar in Computational Electromagnetics
Builds
Digital Twin components and next-generation microelectronics manufacturing solutions
Domain
Electrical Engineering / RFIC / Antenna Systems / Machine Learning
Deliverable
production ML models
Required skills
computational electromagnetics, RFIC phased array antenna design, machine learning, numerical analysis, multi-physics modeling
Preferred skills
uncertainty quantification, forward and inverse design, high-dimensional optimization
Technologies
Machine Learning frameworks, multi-physics simulation tools
Responsibilities
Develop and apply numerical analysis approaches using ML-based multi-physics tools; support multidisciplinary team efforts in design, modeling, and fabrication of Ka-Band and W-Band antenna systems.
Seniority
Postdoctoral Researcher
