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Responsibilities
- Contribute to the virtual testing and validation platform of Maritime Autonomous Surface Ships (MASS), focusing on virtual environment creation, collision detection and collision avoidance (CDCA), motion prediction, and regulatory compliance.
- Develop and implement control algorithms within simulation environments to evaluate system performance and safety.
- Support model-scale experiments in the TCOMS ocean basin, including test planning, execution, data analysis, and iterative refinement of assurance methodologies.
- Work with industry partners, classification societies, and research institutes to ensure MASS functions comply with the IMO MASS Code, COLREGs, and safety standards.
- Contribute to the preparation of grant proposals, technical reports, and publications aligned with TCOMS' strategic objectives.
- Perform additional tasks assigned by the supervisor
Requirements
- Master/PhD degree in Transportation Engineering, Naval Architecture, Mechanical Engineering, Computer Engineering, or a related field
- Demonstrated expertise in transportation network, vessel dynamics, or autonomous control systems.
- Proficiency in MATLAB/Simulink, Python, or C++ for system modelling and validation.
- Strong analytical and problem-solving skills in a multidisciplinary R&D environment.
- Effective interpersonal and communication skills to liaise with regulators, industry partners, and researchers.
- Self-driven, adaptable, and committed to professional integrity.
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