Maritime Drone Impact Engineer (FEA & Risk Modeling)

Nanyang Technological University Singapore

Singapore

Sur place

SGD 90 000 - 140 000

Plein temps

14 jours+

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Résumé du poste

Nanyang Technological University Singapore's School of Mechanical & Aerospace Engineering invites applications for a Research Engineer position focused on Structural/FEA for Maritime Drone Operations. The role develops and executes FEA simulations of drone–vessel impacts to evaluate structural damage and informs the project’s risk framework.

You will build data-driven or physics-informed surrogate models, collaborate with PhD students and partners, and contribute to publications and project

Qualifications

  • Strong background in finite element analysis, structural mechanics or impact/crash simulation.
  • Experience in maritime/naval structures or damage assessment is advantageous.
  • Ability to work with researchers and deliver within project timelines.

Responsabilités

  • Develop and execute nonlinear/explicit dynamic FEA simulations for drone–vessel impacts.
  • Translate damage outputs into risk classifications for vessel subsystems.
  • Create surrogate models to accelerate predictions across scenarios.
  • Integrate outputs with crash-area prediction and risk frameworks.
  • Collaborate with PhD students, operators, and project partners, and prepare reports.

Connaissances

Structural mechanics
Dynamic/impact loading
Python
MATLAB
Surrogate modelling
PINNs
Risk assessment

Formation

Bachelor’s or Master’s degree in Aerospace Engineering, Mechanical Engineering, Material Science and Engineering, Civil/Structural Engineering

Outils

Abaqus Explicit
LS-DYNA
ANSYS Explicit Dynamics
Python
MATLAB

Description du poste

Nanyang Technological University Singapore's School of Mechanical & Aerospace Engineering invites applications for a Research Engineer position focused on Structural/FEA for Maritime Drone Operations. The role develops and executes FEA simulations of drone–vessel impacts to evaluate structural damage and informs the project’s risk framework.

You will build data-driven or physics-informed surrogate models, collaborate with PhD students and partners, and contribute to publications and project

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