Research Fellow (Computer Engineering/Computer Science/Electronics Engineering) Job at Nanyang Technological University Singapore, Singapore

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  • Nanyang Technological University Singapore
  • Singapore

Job Description

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.

Key Responsibilities:

  • Collaborate on application-level and system-level architecture design for AI-oriented software-configurable NoC systems.

  • Design reconfigurable on-chip communication components using emerging hardware technologies.

  • Conduct hardware performance evaluations (e.g. area, power, efficiency).

  • Develop software strategies for communication-aware task scheduling and runtime optimization.

  • Explore low-power and thermal-aware design techniques for embedded systems.

  • Contribute to research outputs and support timely completion of project milestones.

Job Requirements:

  • Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

  • Experience in one or more of the following areas: machine learning, deep learning, software-hardware co-design, computer system performance, design automation, embedded and real-time systems, computer architecture, or related fields.

  • Entry level candidates are welcome to apply.

  • Experienced applicants are preferred.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

Job Tags

Night shift

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