Research Fellow (Self-Driving Softwarized Networks)
Recently, self-driving networks have been receiving much attention which could achieve resource efficiency, provide improved quality of service, and handle critical events such as congestion, failures, and attacks effectively. Self-driven networks can dynamically respond to events (such as congestion, failure, attack etc.), and implement the strategy to manage the network – with minimal human interaction at any stage. In this project, we aim at developing AI/machine learning/deep learning based techniques for network control and services providing resilience in networks. The scope of the work for the Research Fellow position requires development of techniques and algorithms, analysis, and performance study.
Interested candidates who are passionate for research with strong academic and research record and Ph.D. degree in Computer Engineering/Computer Science/Electrical, Electronics, Telecommunication Engineering and other related disciplines are eligible for this position. The Research Fellow should have knowledge/interest/experience in one or more of the following areas.
- Doctorate degree in related field
- Artificial intelligence/machine learning/deep learning
- Optimization techniques
- Computer networks
- Network softwarization, virtualization - NFV, SDN
- 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.
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Electrical and Computer Engineering
Employee Referral Eligible: No