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The Maritime Engineering team at Nanyang Technological University seeks a Research Engineer to advance Structural/FEA work for Maritime Drone Operations. You will develop and run nonlinear FEA simulations of drone-vessel impacts, estimate structural damage to vessel subsystems, and classify risk and damage severity for integration into the project framework.
You will also design surrogate models, work with PhD students and collaborators, and contribute to technical reports and publications that
The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation's long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.
For more details, please view https://www.ntu.edu.sg/mae/research .
We are looking for a Research Engineer in Structural/Finite Element Analysis for Maritime Drone Operations to investigate the risk that multirotor drone collisions pose to vessels operating in maritime environments. The role will focus on developing and executing finite element analysis (FEA) simulations of drone-vessel impacts, estimating structural damage to critical vessel subsystems, and translating simulation outputs into damage severity classifications and risk matrices that feed into the project's separation-assurance framework and the Maritime Digital Twin. The role will also be involved in developing data-driven or physics-informed surrogate models of the FEA simulations to enable fast, generalisable damage predictions across a range of drone and vessel scenarios.