Job Description

We are looking for an experienced Research Fellow in the field of electromagnetic scattering and antenna.

• Expected to develop computational electromagnetic algorithms to calculate Radar cross-section (RCS) for electromagnetic wave.
• Expected to design antenna decoupling methodologies that reduce mutual couple for both intra- frequency and inter-frequency scenarios.
• Expected to integrate insights of wave physics with deep machine learning algorithms.
• Expected to interpret multipath effect in antenna arrays, from the viewpoint of wave physics.
• Expected to design cloaking surfaces for to reduce the scattering by passive targets near antenna. 

Qualifications

• Possess a Doctor’s Degree in electrical engineering, or equally having passed PhD thesis defence, with a specialization in electromagnetics.
• Experienced in numerical methods of electromagnetic scattering theory, such as method of moment (MoM).
• Experienced in antenna design and decoupling.
• Possess knowledge of electromagnetic theory, such as Dyadic Green’s function and angular spectrum representation, which are essential in interpreting the multipath effect in antenna decoupling.
• Experienced in algorithms of machine learning.
• Has good technical proposal writing and presentation skills.
• Able to do research in a multidisciplinary team.
• Open to fixed-term contract

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department: Electrical and Computer Engineering
Employee Referral Eligible: No
Job requisition ID: 17750