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Open nowPosted 21 days ago

Scientist , Advanced Manufacturing & Semiconductor, IAIC

MyCareersFuture94,028 open roles

Pay
SGD 4,750 – SGD 9,500 a month
Where
West, Singapore
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Your applicationOpen nowScientist , Advanced Manufacturing & Semiconductor, IAICMyCareersFuture · West, Singapore

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This job: posted 21 days ago

The posting

Job Summary

The AMS Division, IAIC, A*STAR, is seeking a highly motivated Research Scientist to join a dynamic, multi-disciplinary team. This position is part of a joint laboratory initiative with an Oil&Gas company, focusing on the degradation behavior and reliability of polymeric seals in mechanically energized sealing systems used in oil and gas applications.

The successful candidate will play a key role in developing computational models, analyzing failure mechanisms, and enhancing the long-term reliability of polymeric sealing systems. This research is of strong industrial relevance and involves close collaboration with engineers and experimentalists from industry.

The key scope of work includes:

  • Develop finite element (FE) models of mechanically energized sealing systems to evaluate performance and reliability under thermal, mechanical, and environmental loads.
  • Automate FE-based parametric studies and perform sensitivity analyses to identify critical material and geometric factors affecting seal performance.
  • Investigate failure modes such as viscoelastic relaxation, thermal aging, and thermal cycling; develop and validate degradation models for these mechanisms.
  • Integrate degradation models with traditional metrics (e.g., compressive stress relaxation, mechanical property evolution) for performance prediction.
  • Work with experimental teams and partners to refine test procedures, define reliability criteria, and assess lifecycle failure risks.

Job Requirements

  • PhD in Mechanical Engineering, Materials Science, Applied Physics, or a related field.
  • Solid background in continuum mechanics, polymer material behavior (especially aging and viscoelasticity), and finite element modelling (FEM).
  • Sufficient experiences in FE software (e.g., Abaqus) and Python scripting for automation and parametric studies; experience with statistical FE analysis is a plus.
  • Knowledge of polymer degradation mechanisms, aging tests, or reliability engineering methodologies is highly advantageous.
  • Proficiency in scientific programming languages (Python, Fortran, MATLAB, or similar).
  • Good communication and interpersonal skills to effectively collaborate across multidisciplinary teams and industrial partners.
  • Proven ability to work independently, meet deadlines, and produce high-quality technical reports and publications.
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