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 looking for a Research Fellow (Wireless Security) to conduct research on AI-aided wireless security for 6G communications. The recruited Research Fellow will focus on ONE of the following research directions: 1) developing and validating AI-enabled methods for security-oriented RF design, 2) low-detectability/covert wireless transmission, or 3) radio-frequency (RF) fingerprinting-based device authentication. The work will involve theoretical analysis, algorithm development, simulation, and hardware-in-the-loop experimentation. The Research Fellow will work closely with the Principal Investigator and collaborators/students across NTU Singapore to deliver high-quality research, demonstrable prototypes, peer-reviewed publications, intellectual property, and follow-on research proposals.

Key Responsibilities:

• Conduct original research on AI-aided wireless security, with emphasis on secure and resilient physical-layer technologies for future 6G communication systems.

• Identify potentially patentable research outcomes and fill in patent application forms.

• Write and publish high-quality research papers.

• Assist in the preparation and writing of research grant proposals.

• Co-supervise undergraduate and/or graduate students.

Job Requirements:

• PhD in electrical and electronic engineering, communication engineering, signal processing, RF/microwave engineering, or related discipline.

• Strong publication record and hands-on experience in one of the following areas: wireless security, wireless communications, AI/machine learning for communications, covert communications, signal processing, and/or RF design.

• Ability to conduct research independently and collaboratively within a team.

• Good written and oral communication skills in English - essential for data analysis and communication with stakeholders

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