Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)

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.

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.

Key Responsibilities:

• Work closely with research and engineering teams to develop and integrate AI-based digital design solutions into existing and new software systems
• Analyze and assess current digital design flows, libraries, and system architectures to identify upgrade paths for AI-augmentation
• Design, implement, and test AI models with integrated protocols, or frameworks
• Evaluate performance, interoperability, and security implications of replacing classical EDA flows
• Support the development of technical documentation, migration roadmaps, and user integration guides for internal and external stakeholders
• Collaborate with industry partners (e.g., EDA companies, semiconductor design houses) to deploy AI augmented solutions
• Work closely with commercialization team for high TRL productization and technology transfer
• Contribute to research papers, technical reports, specifications and presentations for internal reviews and external conferences or journals

Job Requirements:

• Preferably PhD in computer engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player.
• Excellent teamwork and verbal, written communication skills.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research and technology transfer.
• The ability and willingness to adapt and incorporate novel ideas and approaches in deep-tech industry.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU