Job Description

Develop, implement, and validate autonomous berthing algorithms for MASS, integrating vessel manoeuvring models, sensor data, and environmental disturbances (wind, waves, currents).

Contribute to the simulation and digital twin platforms for autonomous berthing operations, including real-time control system integration.

Support physical model-scale experiments in the TCOMS ocean basin, focusing on berthing manoeuvres and control refinement.

Collaborate with industry partners, and technology providers to address operational, safety, and regulatory requirements for autonomous berthing.

Participate in preparing project deliverables, proposals, and publications under funded research programmes.

Perform other tasks as assigned by the supervisor.



Requirements



Master/PhD in Naval Architecture, Maritime Engineering, or related field.

Experience in autonomous vessel control, motion planning, and manoeuvring dynamics with constrained environments.

Strong programming skills in MATLAB/Simulink, Python, or C++, with exposure to real-time control.

Strong analytical ability, creativity, and interest in real-world R&D challenges.

Good teamwork and communication skills to engage with multidisciplinary stakeholders.

Independent, resourceful, and able to deliver under tight schedules.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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