Research Fellow

About the Job

The Singapore University of Technology and Design (SUTD) invites applications for a Research Fellow position in multimodal wireless perception for physical AI. The project focuses on integrating wireless sensing, complementary sensor information, and artificial intelligence for environment understanding and autonomous decision-making. The successful candidate will conduct research in integrated sensing and communications, edge intelligence, and communication-sensing-computation co-design, with an emphasis on accurate perception and efficient inference in distributed systems.

What You Will Do

• Develop multimodal perception algorithms combining wireless measurements with complementary sensor information for environment understanding, localization, and tracking.

• Investigate integrated sensing and communications techniques and distributed sensing methods for physical AI applications.

• Develop efficient edge AI inference methods considering perception accuracy, processing latency, communication overhead, and energy consumption.

• Design optimization and learning algorithms for joint allocation of sensing, communication, and computing resources.

• Implement and evaluate proposed methods through numerical simulations, relevant datasets, and prototype development where appropriate.

• Prepare publications in leading journals and conferences, technical reports, and project deliverables.

• Work closely with the principal investigator, support student research, and contribute to collaborative projects and research proposals.

Who We Are Looking For

• A Ph.D. in Electrical Engineering, Telecommunications, Computer Science, or a closely related discipline.

• A strong research background in wireless communications, integrated sensing and communications, edge AI, or mobile edge computing.

• Demonstrated experience in mathematical modelling, numerical optimization, machine learning, or deep learning.

• Proficiency in Python or MATLAB, with experience in relevant simulation or machine learning frameworks.

• A strong publication record in relevant peer-reviewed journals or conferences.

• Strong analytical, scientific writing, and communication skills, with the ability to conduct independent research and collaborate within a multidisciplinary team.

• Experience in multimodal learning, sensor fusion, wireless sensing, or distributed perception.

• Experience in communication-computation co-design, distributed AI inference, or resource allocation for intelligent wireless systems.

• Experience in developing research prototypes or validating algorithms using realistic datasets or experimental measurements.