Research Assistant (Anomaly Detection in Software Defined Networks)

National University of Singapore; Singapore; On-site; SGD 40,000 - 80,000; Full time

Job summary

An innovative research project at a leading university seeks a Research Assistant to study threats in software defined networks (SDN) and develop cutting-edge security solutions. This role involves utilizing AI, machine learning, and deep learning to model normal behaviors and detect anomalies. The successful candidate will engage in hands-on experimentation and contribute to top-tier publications and demonstrations. Join a vibrant academic environment where your research can make a significant impact in the field of network security.

Qualifications

• Knowledge in network security and software defined networking.
• Experience in AI/machine learning/deep learning techniques.

Responsibilities

• Assist in developing techniques to model normal behaviors in SDN.
• Conduct experimentation with a testbed and proof-of-concept demonstrations.

Skills

AI

Machine Learning

Deep Learning

Network Security

Software Defined Networking

Testbed Experimentation

Education

Masters in Computer Engineering

Bachelors in Computer Science

Job description

Job Description:

This project aims at studying various threats in software defined networks (SDN) and developing security solutions for detecting anomalies and mitigation.

The Research Assistant (RA) will be responsible to assist in developing techniques such as AI/machine learning/deep learning , to model the normal behaviours and detect anomalies in SDN.

The work involves experimentation with a testbed and proof-of-concept demonstrations for use-cases. The work and findings will lead to top-tier publications, invention disclosures and proof-of-concept demonstrations.

Job Requirements

• A Masters or Bachelors degree in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in areas - network security, software defined networking, AI/machine learning/deep learning.

• Interests and skill in research and development.

• Software skill for testbed Experimentation and proof-of-concept demonstrations.

• Open to Fixed Term Contract.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 27604