Research Fellow – ML/NLP for Extreme Weather Forecasting

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

National University of Singapore invites applications for a Research Fellow specializing in computational science and machine learning for extreme weather forecasting. The role emphasizes strong coding skills, Python, and proficiency with Large Language Models and NLP.

You will collaborate with faculty to advance ML-driven forecasting, publish results, and contribute to software development. The ideal candidate holds a PhD in Computer Science (NLP) with hands-on experience in Python and ML

Qualifications

• PhD in Computer Science with NLP specialization.
• Proficient in Python and ML tooling (TensorFlow or PyTorch).
• Strong coding and software development skills.
• Excellent English writing and verbal communication.

Responsibilities

• Conduct research in computational science and ML for extreme weather forecasting.
• Develop and maintain software in Python; experiment with LLMs for forecasting tasks.
• Publish results and collaborate with domain experts.

Skills

Python

LLMs

NLP

Software Development

Education

PhD in Computer Science (NLP)

Tools

TensorFlow

PyTorch

Job description

National University of Singapore invites applications for a Research Fellow specializing in computational science and machine learning for extreme weather forecasting. The role emphasizes strong coding skills, Python, and proficiency with Large Language Models and NLP.

You will collaborate with faculty to advance ML-driven forecasting, publish results, and contribute to software development. The ideal candidate holds a PhD in Computer Science (NLP) with hands-on experience in Python and ML