Research Assistant (Computer Science)
at NANYANG TECHNOLOGICAL UNIVERSITY
Singapore, Southeast, Singapore -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 04 Jun, 2024 | Not Specified | 05 Mar, 2024 | N/A | Machine Learning,Computer Science,Cyber Security,Intrusion Detection,English,Writing,Interpersonal Skills,Data Mining,C++,Matlab | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
The School of Computer Science and Engineering (SCSE) 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
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 empiricall
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer science or a related discipline with a focus on cyber security machine learning and/or data mining
Proficient
1
Singapore, Singapore