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.

Within CCDS, this project will be conducted in the Hardware and Embedded Systems Laboratory (HESL). This lab aims to drive technological breakthroughs that enhance the functionality, efficiency, and security of hardware and embedded systems. It aims to lead in the creation of hardware and embedded system technologies that enable smarter, more secure, and highly interconnected environments. At present, focus groups at HESL perform R&D in the following key areas: Design Methodologies, Embedded Software, Reconfigurable Computing, Vision Enabled Sensing, Cyber-Physical Systems, and Secure Embedded Systems.

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

Key Responsibilities:

• Conduct research in the domain of real-time scheduling and resource allocation problems for machine learning pipelines deployed in safety-critical cyber-physical systems.
• Provide implementation and development support to the research team for translation of research ideas into concrete lab-scale demonstrators on robotic platforms.
• Assist in the procurement and management of technical equipment for the project.
• Participate in the process of writing and publishing research papers in top-tier conferences and journals.
• Support the research team in documentation and reporting activities for the grant agency.

Job Requirements:

• Preferably Master in Computer Science or related field.
• Background and familiarity with the implementation and deployment of machine learning pipelines in embedded systems (e.g., robotic platforms).
• Interpersonal skills (e.g. ability to work independently as well as in teams, develop solutions under strict timelines, meticulous and eye for details, excellent organizational & time management skills)
• Desirable: Research experience in deployment challenges for machine learning pipelines in resource-constrained systems.

We regret that only shortlisted candidates will be notified.