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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.
