Research Associate, Structural Fire Engineering & AI

Nanyang Technological University Singapore

Singapore

On-site

SGD 60,000 - 90,000

Full time

14 days+

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Job summary

Nanyang Technological University Singapore invites applications for a Research Associate in the School of Civil and Environmental Engineering to advance structural fire engineering research, including experiments, simulations and AI-assisted methods. The role covers numerical modelling with ABAQUS/ANSYS, experimental testing, and collaboration with a multidisciplinary team.

Entry-level candidates are welcome.

Qualifications

  • Master's degree in Civil/Structural Engineering or related field.
  • Strong knowledge of structural mechanics and structural analysis.
  • Experience with finite element software (ABAQUS/SAFIR/ANSYS) is advantageous.
  • Experience with structural fire engineering or experimental testing is advantageous.
  • Programming skills in Python or MATLAB; interest in AI applications.
  • Good analytical, problem-solving, communication and teamwork skills.
  • Entry-level candidates welcome.

Responsibilities

  • Conduct research on structural behaviour and fire resistance under fire conditions.
  • Develop numerical models and perform structural fire simulations using finite element software.
  • Assist in planning and conducting structural fire experiments and analysing test results.
  • Investigate structural performance, failure mechanisms and fire resistance through experimental and numerical studies.
  • Explore AI and machine learning applications for efficient structural fire analysis.
  • Prepare technical reports, research publications and presentations, and support project deliverables.

Skills

Structural analysis
Python
MATLAB
Analytical thinking
Teamwork
Communication skills

Education

Master's degree in Civil/Structural Engineering

Tools

ABAQUS
SAFIR
ANSYS

Job description

Nanyang Technological University Singapore invites applications for a Research Associate in the School of Civil and Environmental Engineering to advance structural fire engineering research, including experiments, simulations and AI-assisted methods. The role covers numerical modelling with ABAQUS/ANSYS, experimental testing, and collaboration with a multidisciplinary team.

Entry-level candidates are welcome.

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