Research Fellow (software Defined Networking)
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 Fellow (RF) will be responsible to develop techniques such as AI/machine learning/deep learning, to model the normal behaviours and detect anomalies in SDN. The RF will also explore approaches for detecting and mitigating attacks. 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 PhD in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in one or more areas - network security, software defined networking, AI/machine learning/deep learrning.
- Strong research record with independent research and development capability.
- Software skill for testbed Experimentation and proof-of-concept demonstrations.
- Open to Fixed Term Contract
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 : 18477
Times Higher Education
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Job Detail
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Job IdJD1352677
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationSingapore, Singapore
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EducationNot mentioned