Research Associate (AI for Computational Fluid Dynamics)

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profile Job Location:

Singapore - Singapore

profile Monthly Salary: Not Disclosed
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Job Summary

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 nations long-term development 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 are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling viral droplet dispersion (AI4ViDro). The framework will integrate airflow droplet transport and human mobility under diverse environmental conditions. The role will focus on modernizing legacy Computational Fluid Dynamics (CFD) solvers into Python-based AI frameworks (e.g. PyTorch JAX) to enable high-efficiency scalable simulations of aerosol transport systems. The developed model will incorporate human mobility and respiratory activities into the CFD solver to realistically represent social interactions and human behavior in various environments on the respiratory disease transmission.

Key Responsibilities:

  • Development of AI-augmented CFD frameworks

  • Simulation aerosol transmission and human mobility

  • Valid the numerical model with experimental or existing numerical work

  • Engage in interdisciplinary collaboration

Job Requirements:

  • Education qualifications

    • Master degree or higher in Mechanical Engineering Computational Science Applied Mathematics or a related field.

  • Soft skills:

    • Critical thinking and problem-solving

    • Collaboration and teamwork

    • Good communication

    • Time management and self-motivation

  • Hard skills:

    • Strong foundation in CFD

    • Programming proficiency such as Python AI/ML techniques

    • Use of CUDA MPI is a plus.

  • Experience

    • Experience with CFD simulation tools (e.g. OpenFOAM Ansys Fluent or similar) is advantageous

    • Demonstrated track record of peer-reviewed publications in relevant fields.

  • Competencies

    • Capable of proposing and implementing novel computational strategies that go beyond traditional CFD paradigms

    • Enthusiastic about exploring new AI paradigms and applying them to engineering challenges.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU


Required Experience:

IC

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 bi...
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Key Skills

  • Laboratory Experience
  • ELISA
  • Immunoassays
  • Mammalian Cell Culture
  • Biochemistry
  • Cell Biology
  • Research Experience
  • Cell Culture
  • Molecular Biology
  • Microscopy
  • Research Laboratory Experience
  • Western Blot

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Nanyang Technological University is one of the top universities in Singapore offering undergraduate and postgraduate education in engineering, business, science, humanities, arts, social sciences, education and medicine.

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