Research Assistant (Anomaly Detection in Software Defined Networks)

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. 

Qualifications

• A Master’s or Bachelor’s 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 : 20701