Postdoc: ML-Driven RFIC Antenna Design & Digital Twin

Penn State University; University Park (AL); On-site; USD 60,000 - 75,000; Full time

Job summary

Penn State University seeks a Postdoctoral Scholar in Electrical Engineering. The role involves developing advanced numerical analysis methods using machine learning for predictive modeling, optimizing RFIC phased array antenna design under Prof. Douglas H. Werner's guidance. This position offers a collaborative environment with engineers and data scientists, focusing on cutting-edge technology in antenna systems.

Qualifications

• PhD required with a specialization in electromagnetics.
• Expertise in computational electromagnetics and RFIC phased array antenna design preferred.
• Proficiency in machine learning techniques is necessary.

Responsibilities

• Develop numerical analysis approaches utilizing Machine Learning-based multi-physics tools.
• Support the design of advanced RFIC phased array antenna systems.
• Collaborate with engineers and data scientists on predictive modeling and optimization.

Skills

Computational electromagnetics

Machine learning

RFIC phased array antenna design

Education

PhD in electrical engineering with a focus on electromagnetics

Job description

Penn State University seeks a Postdoctoral Scholar in Electrical Engineering. The role involves developing advanced numerical analysis methods using machine learning for predictive modeling, optimizing RFIC phased array antenna design under Prof. Douglas H. Werner's guidance. This position offers a collaborative environment with engineers and data scientists, focusing on cutting-edge technology in antenna systems.