Research Fellow (Electromagnetic Imaging and Intelligent Sensing)

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 Research Fellow to conduct cutting-edge research in high-resolution electromagnetic imaging and intelligent sensing. The successful candidate will contribute to the theoretical development, algorithm design, and system validation of next-generation intelligent imaging and information sensing technologies.

Key Responsibilities:

• Conduct independent and collaborative research in electromagnetic imaging, inverse scattering, computational imaging, and intelligent sensing.

• Develop novel theories, methodologies, and technologies for high-resolution imaging, information reconstruction, and target characterization in complex environments.

• Explore new imaging and sensing approaches that integrate physics-based models with artificial intelligence and conduct research on complex inverse problems and information reconstruction.

• Publish high-quality research outcomes in top-tier journals.

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

• Contribute to grant applications, project report writing, and laboratory operations.

Job Requirements:

• PhD in Electrical Engineering, Computer Engineering, Physics, or a closely related discipline.

• At least three years of relevant research experience in electromagnetic imaging, inverse scattering, reconfigurable metasurfaces and intelligent sensing, information reconstruction, and AI for imaging and sensing.

• Strong background in electromagnetic theory, mathematical modeling, optimization, and scientific computing.

• Experience in computational imaging, inverse problem solving, machine learning, or artificial intelligence is highly desirable.

• Excellent publication record with multiple high-quality publications in top-tier international journals as a leading contributor.

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

• Excellent written and verbal communication skills in English - essential for data analysis and communication with stakeholders

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