Non-tenure-track Senior Lecturer/Lecturer Positions in Information Engineering and Computational Intelligence
Established in 1981, the School of Electrical and Electronic Engineering (EEE) is one of the three founding Schools of the Nanyang Technological University, Singapore. Built on a culture of excellence, the School is renowned for its high academic standards and extensive research activities. To support advanced research, the School hosts 13 research centres which are well-equipped with sophisticated and state-of-the-art equipment. Besides the 13 centres, there are more than 60 laboratories, supporting both the teaching and research activities in the School.
NTU EEE is now one of the top-ranked schools in the world, ranked 2nd globally by subject in the U.S. News and World Report Best Global Universities Rankings 2022 and 4th worldwide in the QS University Rankings by Subject 2022 (Electrical and Electronic Engineering).
Join the School of Electrical and Electronic Engineering, College of Engineering,
Nanyang Technological University, Singapore as a faculty member and embark on a challenging and exciting career in teaching and research excellence, so as to prepare engineering leaders of the future.
The School invites applications for two non-tenure-track Senior Lecturer/Lecturer positions in Information Engineering and Computational Intelligence.
Applicants should have at least Master’s degree in electrical and Electronic
Engineering, or Computer Science/Engineering, or a closely related discipline.
Candidates who have a Bachelor’s degree and extensive industry or vocational
experience may also be considered. A strong background and teaching experience in one or more of the following areas: Software Engineering, Computing and Programming (python, C, object-oriented programming, and assembly),
Microprocessor, Computer Architecture, Internet and Mobile Services and
Applications, Database Systems, Web Applications, Wireless Communications,
Embedded System Design, Cyber-Physical Systems, Cyber Security, Internet of
Things, Machine learning, Pattern Recognition, Data Mining/Analytics, Natural
Language Processing, and Speech Analysis would be an added advantage.
Fresh PhD graduates would be considered but preferences are given to candidates with relevant working/teaching experience in universities.
The successful candidates are expected to teach courses in the fields of Information Engineering and Computational Intelligence at the undergraduate
and postgraduate levels, and supervise undergraduate and postgraduate students.
Applicants are invited to submit their applications (cover letter, CV, research and
teaching statements, and citation report, where applicable) through the NTU career portal.
Review of applications and shortlisting of applicants will be carried out on an on-going basis until the positions are filled. Only shortlisted candidates will be notified.