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"Research Assistant (Transport Phenomena & AI)"

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Research Assistant (Transport Phenomena & AI)

Research Assistant

2026-04-06

Location

Kent Ridge Campus, Singapore

National University of Singapore

Type

Staff / Administration

Required Qualifications

Undergraduate or Master's in Mechanical Engineering, Applied Mathematics, Aerospace Engineering or related
Substantial experience in numerical simulations
Familiarity with robotics, reinforcement learning, foundation models, deep learning

Research Areas

Deep-learning frameworks
Foundation models
Weather/climate prediction
Data assimilation
Transport Phenomena
AI applications
71% Job Post Completeness

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Research Assistant (Transport Phenomena & AI)

Job Description

The candidate will develop deep-learning frameworks and foundation models for regional/global weather/climate prediction, data assimilation, and related tasks.

Qualifications

  • An undergraduate or master degree in mechanical engineering, applied mathematics, aerospace engineering or other related fields.
  • Substantial experience in numerical simulations.
  • Familiar with robotics, reinforcement learning, foundation models, and deep learning.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department: Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID: 31661

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Frequently Asked Questions

🎓What qualifications are required for the Research Assistant (Transport Phenomena & AI) role?

Candidates must hold an undergraduate or master's degree in mechanical engineering, applied mathematics, aerospace engineering, or related fields. Key requirements include substantial experience in numerical simulations and familiarity with robotics, reinforcement learning, foundation models, and deep learning. Review tips for success in excelling as a research assistant or explore research assistant jobs.

🔬What are the main responsibilities in this position?

The role involves developing deep-learning frameworks and foundation models for regional/global weather/climate prediction, data assimilation, and related tasks in transport phenomena and AI. Focus on advancing predictive modeling in the Mechanical Engineering Department at NUS.

📍Where is the Research Assistant position located?

The position is based at Kent Ridge Campus, National University of Singapore, in the College of Design and Engineering, Mechanical Engineering Department. This prime Singapore location supports cutting-edge AI and climate research. See more research jobs in Singapore.

📝How do I apply for this NUS Research Assistant job?

Applications are open until April 6, 2026 (Job Requisition ID: 31661). Use the official apply link in the posting. Prepare a CV highlighting numerical simulations and deep learning experience. Employee referrals are not eligible. Learn how to write a winning academic CV.

🌤️What research areas does this role cover at NUS?

Key focus areas include transport phenomena, AI-driven deep-learning frameworks, foundation models for weather/climate prediction, and data assimilation. Ideal for those experienced in reinforcement learning and robotics. Related insights in AI research boom.

🌍Is visa sponsorship available for international applicants?

Visa sponsorship is not mentioned in the posting. As a Staff / Administration role at NUS, check eligibility for Singapore work passes. International candidates should verify requirements via official channels.
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