The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant.
Key Responsibilities:
Set up the provenance capturing systems
Collect and pre-process simulated provenance data
Perform literature review and background study on graph analytics for intrusion detection
Apply Data Mining & Machine Learning techniques for graph-based intrusion detection, implement prototypes of the solutions, and validate their effectiveness empirically
Job Requirements:
Possess Bachelor degree in Computer Science, or a related discipline, with a focus on Cyber Security, Machine Learning and/or Data Mining
Experiences in developing intrusion detection and/or graph analytics technologies
Good programming skills in e.g., Python, Matlab, C++, etc
Good interpersonal skills
Excellent teamwork awareness
Good communication and writing in English
Strong research experience/track record in cyber security or graph mining will be a plus
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
R00016213