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Job Title: Assistant Professor (Electrical and Computer Engineering)
Posting Start Date: 08/07/2025
Job Description:
Job Description
The Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is seeking a candidate at the rank of Assistant Professor (Tenure Track) in the area of machine learning and artificial intelligence. The candidate is expected lead active and externally funded research program and collaborative research with colleagues in other disciplines to address challenges that achieve scientific and societal impact are encouraged. Besides research, the candidate is also expected to contribute actively to teaching and service roles at the Department, College, or University level
Interested applicants are invited to submit a detailed CV, a teaching philosophy statement, list of publications, statement of research interests and plans, contact details of at least 3 referees, and the NUS Personal Data Consent for Job Applicants
Shortlisted candidates will be invited for a campus visit and interview. Applications will be accepted until the available position is filled.
Qualifications
The successful candidate must have an earned doctorate in Electrical Engineering and/or Computer Engineering or an allied field. Candidates must have an established track record in research.
Company Overview
NUS is a leading worldwide ranked University with a strong commitment to education and research. It ranks amongst the top 10 universities in Asia. ECE is one of the largest departments at NUS, with over 70 tenure-track, educator-track, and practice track faculty, and more than 2400 undergraduate, masters, and doctoral students. The department is ranked among the world’s top 10 in the QS World University Rankings by Subject 2022. 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.
More Information
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Electrical and Computer Engineering
Employee Referral Eligible: Yes
Job requisition ID : 29573
Apply now
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