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 Associate.

Key Responsibilities:

• Responsible for the design, development, and validation of data-driven Digital Twin (DT) models to simulate and predict dynamic energy demands and renewable generation patterns in shipyard environments.
• Develop and refine advanced optimization algorithms for the Energy Management System (EMS), including energy dispatch, energy storage control, load scheduling, and market participation strategies.
• Formulate scalable system architectures that support real-time data processing, distributed decision-making, and seamless integration with operational platforms.
• Design and implement robust interfaces for real-time, bidirectional data exchange between DT and EMS, incorporating secure data pipelines and resilient middleware.
• Improve predictive performance and operational robustness through machine learning, simulation-based testing, and iterative model calibration using real-world data.
• Contribute to technical publications, documentation, and reporting required by funding agencies and industrial stakeholders.
• Engage in cross-functional collaboration with academic and industry partners to ensure alignment between technical outputs and practical requirements.
• Investigate and prototype enabling technologies, including wireless communication frameworks, that enhance system responsiveness, distributed sensing, and edge-level coordination.

Job Requirements:

• Preferably Master's degree 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.
• 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 experiment or modelling methods.
• 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.