Postdoctoral Fellow (Applied Electromagnetics)

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world's largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are seeking a highly motivated Postdoctoral Fellow to conduct cutting-edge research in AI-enabled modelling and design of microwave and RF devices. The successful candidate will develop advanced physics-assisted modelling techniques to accelerate and improve the robustness of the analysis, optimization, modelling and inverse design of microwave components and systems.

Key Responsibilities:

• Conduct independent and collaborative research on AI-based modelling and design of microwave and RF devices.

• Perform electromagnetic simulation, design, fabrication, and experimental validation of microwave and RF components.

• Develop physics-assisted AI/ML methods to accelerate and improve the robustness of microwave device modelling and inverse design.

• Publish research outcomes in top-tier journals and present findings at international conferences.

• Assist in supervising PhD students, junior Research Assistants, and Master students.

• Contribute to grant applications, project reports, and laboratory operations.

Job Requirements:

• A PhD (or pending conferment) in Electrical Engineering, Computer Engineering, Physics, or a closely related discipline.

• At least 3 years of relevant research experience in microwave and RF device modelling and design.

• Strong background in computational electromagnetics and electromagnetic simulation techniques.

• Experience in AI-based RF transistor modelling is highly desirable.

• Solid knowledge of machine learning algorithms and their application to microwave device modelling and design.

• Experience in AI-based RF transistor modelling is highly desirable.

• Excellent publication record in AI-enabled microwave and RF device modelling.

• Demonstrated ability to conduct independent research and lead research projects.

• Strong written and oral communication skills.

We regret to inform that only shortlisted candidates will be notified.