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NTU Singapore’s School of Mechanical & Aerospace Engineering invites applications for a Research Engineer to perform Finite Element Analysis for maritime drone operations. You will develop nonlinear FEA frameworks, estimate structural damage from drone–vessel collisions, and produce risk classifications feeding into the Maritime Digital Twin.
You will work with PhD students and project partners, translating simulation results into actionable insights and publishing findings.
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.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg
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