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Research Fellow (AI for Science) - NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow (AI for Science) - NATIONAL UNIVERSITY OF SINGAPORE

NATIONAL UNIVERSITY OF SINGAPORED05 Clementi New Town, Hong Leong Garden, Pasir Panjang, SG
3 days ago
Job description

Roles & Responsibilities

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor Duane Loh on conducting research at the interface of Machine Learning and Microscopy under a project on Learning Spatiotemporal Motifs In Complex Materials.

The main responsibilities of the position include :

  • Conduct cutting-edge research at the intersection of AI and scientific discovery, focusing on identifying spatiotemporal motifs in complex materials.
  • Mentor and guide Ph.D. and Master’s level students in their research projects.
  • Contribute to curriculum design, teaching, and student engagement in AI-for-Science courses and seminars.
  • Support the development and deployment of AI-driven tools for High-Performance Computing (HPC) applications.

Qualifications / Requirements

Qualifications / Discipline :

  • PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution.

    • Skills :

  • Proficient in programming languages such as Python, with experience in using AI / ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Familiar with high-performance computing (HPC) environments and concepts.
  • Knowledge of software development practices and version control systems (e.g., Git).
  • Exposure to or interest in the application of AI tools to scientific or computational problems.

    • Experience :

  • Completed AI-focused final-year project(s) involving model development, training, and deployment, demonstrating a strong grasp of machine learning principles and practical implementation.
  • Participated in or helped organize university events, tech talks, or seminars, indicating familiarity with event logistics and academic engagement.
  • Demonstrated ability to work with high-performance computing environments during academic training, with basic knowledge of cluster usage or cloud-based AI tools

    • Tell employers what skills you have

    TensorFlow

    Git

    Materials Science

    Science

    Physics

    Artificial Intelligence

    Computer Science

    PyTorch

    Python

    Data Science

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    Research Fellow • D05 Clementi New Town, Hong Leong Garden, Pasir Panjang, SG