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.