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Job Overview
Research Fellow, Ships and Offshore Structures
Job Description
- Perform research in the following areas, to support the development of fast computational models for assessment of ship and offshore structures:
- global structural dynamic analyses of vessels and offshore structures
- interfacing between local, global and hydrodynamic models
- instrumentation of ships and offshore structures
- apply reduced order model to enhance analysis and interpretation.
- Design and conduct physical model tests to support the development of integrated physical-numerical modelling and simulations.
- Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to assist in securing further research grants.
- Any other duties as assigned by supervisor.
Job Requirements
- Ph.D. in Offshore/Civil/Structural/Mechanical Engineering, Naval Architecture, Applied Mathematics or other related disciplines.
- Preferably 3+ years of relevant postdoctoral/research/industry experience with competent knowledge in some of the following areas:
- Strong working knowledge of marine structures, offshore structural engineering and naval architecture.
- Strong knowledge and experience in using FEM structural analysis software packages to solve global structural dynamic responses.
- Strong interest in applying reduced order, machine learning and AI techniques.
- Knowledge/experience in instrumentation and experiments of marine and offshore systems at model- and full-scale will be an advantage.
- Prior experience/knowledge of the following software/programming languages will be preferred:
- ABAQUS, ANSYS
- SESAM Suite or equivalent,
- MATLAB, Fortran, Python and/or C++
Other Requirements (e.g. Skills, Competencies):
- Good interpersonal and communications skills.
- Ability to adapt and work effectively as members of a team.
- Good command of written and spoken communications.
- Resourceful and self-driven with a high degree of professional integrity.
Job Detail
- Offered SalaryNot Specified
- Career LevelNot Specified
- ExperienceNot Specified
- GenderBoth
- INDUSTRYEducation
- QualificationDoctorate Degree (Ph.D.)
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