Research Engineer (AI-based Ammonia Fuel Safety System)

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work on the development of an AI-based integrated system for safe management of ammonia fuel in maritime sector.

Major duties and responsibilities include:

• Develop an intelligent monitoring and maintenance system for ammonia pipelines using distributed fiber optic sensing and acoustic emission technologies for real-time leak, deformation, and crack detection.
• Develop advanced methods for anomaly identification, event localization, and multi-parameter safety monitoring.
• Establish a scaled-down integrated prototype test-bed based on similarity theory and onboard-like operating environments to experimentally validate the performance and reliability of the developed monitoring system.

Qualifications

The candidate must possess the following:

• Bachelor’s or Master’s degree in Energy Engineering, Mechanical Engineering, or a closely related field.
• Experience with distributed fiber optic sensing systems or related industrial monitoring technologies, including on-site deployment, system calibration, and parameter optimization.
• Experience in designing and building high-precision thermal, flow, and safety-related test platforms.
• Strong programming skills in Python, C/C++, or Fortran, with experience in developing data-driven or adaptive algorithms for anomaly detection and condition monitoring, or system diagnostics.
• Excellent problem-solving skills and ability to work independently and collaboratively.