Research Engineer, Machine/Deep Learning and Network Security

5 days left

09 Sep 2022
End of advertisement period
09 Oct 2022
Contract Type
Fixed Term
Full Time

Job Description

We are looking for a Research Engineer who will be responsible for undertaking practical research and implementation in machine/deep learning and association rule mining models that can be applied to handle network security. Candidate must be able to work in a team and must assist the research team in implementing the strategies. Candidate must be skilled in programming and must be prepared to adapt to the needs of the project towards realizing a Proof-of-Concept (PoC).


  • Conduct a thorough search on the State-of-the-art literature and prepare a survey material;
  • Participate and assist in data procurement, setting up the network infrastructure (test bed) to conduct experiments;
  • Identifying the relevant security attacks for the experiments using the data acquired
  • Assist the research team to implement algorithms and adaptive strategies using ARM and ML/DL models for automatic rule generation and mining on network traffic flow data;
  • Understand and develop use cases relevant to the application, implement them as a proof-of-concept;
  • Participate in the work towards filing an invention disclosure
  • Must conduct performance evaluations/simulations where necessary for research works;
  • Contribute to knowledge exchange activities with external partners and collaborators;


  • A Bachelor’s Degree in Computer Science/Computer/Electrical Engineering, with specialization/experience related to machine/deep learning and network security;
  • Proven record on programming skills, specifically on Python and relevant packages; 
  • Must assist in data collection, pre-processing, and setting up a network test bed for experiments
  • Must be prepared to learn and adapt to any new technical knowledge (other programming skills, network related aspects, etc) expected 
  • Prior experience in network security and ML/DL, network traffic flow data handling, information extraction, will be an asset;
  • Must be prepared to assist the research team in implementing the strategies
  • Excellent interpersonal communication and oral presentation skills 
  • Open to fixed term contract

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: College of Design and Engineering
Department : Electrical and Computer Engineering
Employee Referral Eligible: No
Job requisition ID : 15276

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