XAI Research Assistant: Interpretable Dynamics & Climate ML

National University of Singapore; Singapore; On-site; SGD 42,000 - 60,000; Full time

Job summary

National University of Singapore invites applications for a Research Assistant (XAI) in the Mechanical Engineering department at Kent Ridge Campus. The role focuses on advancing interpretable algorithms for dynamical systems and Earth system science, with connections to physics-informed learning.

You will help develop new methods for modelling, simulating, and understanding complex dynamical processes with emphasis on explainable AI and climate-relevant targets, contributing to cutting-edge

Qualifications

• Experience with machine learning methods and explainable AI.
• Familiarity with dynamical systems modelling and simulation concepts.
• Knowledge of signal processing and time evolution.
• Ability to work on Earth system science applications and climate-relevant targets.

Skills

Machine learning

Explainable AI

Algorithms for dynamical systems

Signal processing

Job description

National University of Singapore invites applications for a Research Assistant (XAI) in the Mechanical Engineering department at Kent Ridge Campus. The role focuses on advancing interpretable algorithms for dynamical systems and Earth system science, with connections to physics-informed learning.

You will help develop new methods for modelling, simulating, and understanding complex dynamical processes with emphasis on explainable AI and climate-relevant targets, contributing to cutting-edge