NTU SINGAPORE

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

NTU Main Campus, Singapore Full time

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:

  • Review the literature about digital twin and energy management of shipyard operations

  • Design new digital twin models and energy management to support different shipyard operations

  • Develop new digital twin and advanced AI models to support the energy optimization to reduce cost and improve reliability

  • Implement and test the digital twin models

  • Publish research papers in top-tier journals and conferences

Job Requirements:

  • Preferably master’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent.

  • Strong publication record with papers accepted/published in top-tier journals and conference

  • Familiar with digital twin and energy management systems

  • Demonstrated capability to conduct innovative research in digital twin and energy management

  • Excellent teamwork and verbal, written communication skills

  • In-depth knowledge relevant to the project domain of digital twin and energy management of shipyard.

  • The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

  • Demonstrated ability to formulate hypothesis and design effective experimental plans.

  • Ability to design and implement new experimental methods.

  • High-level expertise in the required analytical and modelling methods.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU