NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow , Machine/Deep Learning and Network Security

Location
Singapore
Posted
30 Sep 2022
End of advertisement period
30 Oct 2022
Ref
8728144
Contract Type
Fixed Term
Hours
Full Time

Job Description

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine/deep learning (ML/DL) and association rule mining (ARM) implementations that can be applied to handle network security. The works must also lead to publications in top-tier international conferences and journals, as well as real-world implementations. Candidate must be skilled to implement and demonstrate a Proof-of-Concept (PoC).

Responsibilities:

  • Develop algorithms and adaptive strategies using ARM and ML/DL models for automatic rule generation and mining on network traffic flow data;
  • Implement ML/DL that may be augmented with real-time/dynamic ARM techniques developed to classify the traffic and to reconfigure the network during attacks;
  • Develop use cases relevant to the application, implement them as a proof-of-concept;
  • Work towards filing an invention disclosure
  • Must conduct performance evaluations/simulations for research works and must work towards publishing research articles;
  • Contribute to knowledge exchange activities with external partners and collaborators;

Qualifications

  • A PhD in Computer Science/Computer/Electrical Engineering, with specialization/experience related to machine/deep learning and network security;
  • Proven ability to conduct independent research with a strong and relevant publication record;
  • Prior experience in network security and ML/DL, network traffic flow data handling, information extraction, dynamic or real-time Association Rule Mining based strategies will be an asset;
  • Must be prepared to do network-based implementations
  • 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 : 15275

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