Faculty Appointments

Tenure-Track Faculty Positions

Electrical and Computer Engineering is the largest department at NUS with over 80 tenure-track and educator-track faculty and 1700 undergraduate, masters, and doctoral

ECE is a research-intensive department. Our faculty, research staff, and students are engaged in cutting-edge research activities that span a diversity of areas. These include Communications & Networks; Control, Intelligent Systems & Robotics; Integrated Circuits & Embedded Systems; Power & Energy Systems; Microelectronic Technologies & Devices; Microwave & RF; and Signal Analysis & Machine Intelligence. By leveraging on expertise in these core areas, ECE engages industry and government agencies to address challenges embodied in the Smart Nation initiative such as the creation of intelligent built environments, transportation, urban sustainability, security, and healthcare.

We seek exceptional tenure-track faculty candidates at Assistant Professor and Associate Professor levels in the following areas:

Cyber and cyber-physical security

The Internet of Things and cyber-enabled physical systems such as critical infrastructure have the potential to bring significant benefits to the society, businesses and individuals by connecting people, processes and data. However, the security of such systems against cyber-attacks is a growing and important concern. Candidates with interest in all aspects with cyber-security are invited to apply. The department is particularly interested in candidates who can collaborate and contribute to departmental strategic thrusts on IoT, next-generation networks, and autonomous systems. students.

Quantum information systems

Areas which include (but are not limited to) quantum communications, quantum cryptographic systems, and quantum information theory, preferably with skills that can combine fundamental research with practical systems development. The candidate should be able to lead the research on quantum information systems, collaborate on and develop inter-disciplinary research programs that lie at the intersection of computer engineering, communications, and quantum computing.

Optoelectronics and photonics

Areas including (but are not limited to) non-linear optics, quantum optics, on-chip device fabrication and integration, or development of lasers and sources such as high-power lasers, preferably with skills that can combine fundamental research with practical systems development.

Signal Analysis, Machine Learning and Artificial Intelligence

Areas including (but not limited to) artificial intelligence, machine learning, computer vision, audio and speech processing, image and video processing, biomedical signal processing, information retrieval, natural language processing, human-machine interface, and data engineering. The candidate should be able to set up outstanding research program and contribute towards major collaborative programs in engineering.

Ultra-low power integrated circuits, hardware security and IoT sensors

Areas including (but not limited to) system-on-chip for ultra-low power systems, non-von Neumann architectures, algorithm-architecture VLSI co-design, accelerator-enriched systems on a chip, networks on chip,  analog circuits for distributed sensing and signal processing, ultra-low power / signal-aware / always-on monitoring, data converters, mixed-signal circuits, and smart sensor interfaces for cyber-physical systems, with emphasis on cross-disciplinary topics such as hardware security and artificial intelligence.

Intelligent Systems and Robotics

Areas including (but not limited to) autonomous systems such as autonomous land vehicles, unmanned aerial vehicles, underwater autonomous vessels, autonomous and connected robots for industry 4.0 manufacturing, deployment of artificial intelligence in robotic systems for deep learning, data and predictive analytics, condition monitoring and enterprise-wide optimization.

Applications

The successful candidate must have an earned doctorate in Electrical Engineering and/or Computer Engineering or an allied field, with credentials suitable for appointments at levels of Associate Professor or Assistant Professor. The candidate should be able to set up outstanding research program and contribute towards major collaborative programs in engineering.

We invite you to explore https://cde.nus.edu.sg/ece/ to learn more about us and see how you could become a part of our vibrant and diverse community.

Interested applicants are invited to send by e-mail a detailed CV, a teaching philosophy statement, list of publications, statement of research interests and plans, contact details of at least 6 referees, and the NUS Personal Data Consent for Job Applicants to:

Secretary to ECE HoD
Department of Electrical and Computer Engineering,
National University of Singapore.

Email: elesec@nus.edu.sg

All applications will be kept in the strictest confidence. Only shortlisted candidates will be notified.