NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow, Computer Science

Location
Singapore
Posted
27 Jul 2022
End of advertisement period
24 Aug 2022
Ref
9019444
Contract Type
Permanent
Hours
Full Time

Job Description

Applicants should have a demonstrated successful track-record of prior research work, and have a keen interest in participating in high-impact research within a large, multi-disciplinary corporate lab, and expertise in at least one of the research areas of the lab mentioned below. A keen interest in experimentation and system-building is beneficial, as is specific expertise in security and privacy, AI/Machine Learning/Deep Learning, log analytics, cloud computing technologies, networked and distributed systems, and the Internet of Things Security.

Interested applicants should send your CV to Prof. Dong Jin Song (dcsdjs@nus.edu.sg) and Prof. Lin Yun (dcsliny@nus.edu.sg) and Dr. Nay Oo (nay.oo@ncs.com.sg) with your CV.

Only shortlisted candidates will be notified. 

Qualifications

  • A Bachelor's degree in a relevant area (Computer science)
  • Sophisticated programming skills; and
  • Background or substantial interests in artificial intelligence, security and networks

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: School of Computing
Department : Department of Computer Science
Employee Referral Eligible: No
Job requisition ID : 15545

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