NATIONAL UNIVERSITY OF SINGAPORE

Research Assistant (Video Packet Analytics)

Location
Singapore
Posted
14 Sep 2022
End of advertisement period
14 Oct 2022
Ref
10628744
Contract Type
Permanent
Hours
Full Time

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing.  The Research Assistant will be part of a network security project on video surveillance packet analysis using machine learning techniques.  The project is in collaboration with a local industry partner. 

Job responsibilities would include the development of packet analysis software, conducting experiments, and documenting the research.

Qualifications

The potential candidate should possess experience or interest in the following areas:

  • At least a bachelor’s degree in computer science or a related field 
  • Familiarity with computer networking at the network layer
  • Familiarity with machine learning techniques
  • Excellent communication skills (written and verbal) and interpersonal skills

Knowledge of video compression and video streaming standards would be a plus.

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 : 17294

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