Research Assistant (XAI)

National University of Singapore; Singapore; Vor Ort; SGD 42.000 - 60.000; Vollzeit

Zusammenfassung

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

Qualifikationen

• 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.

Kenntnisse

Machine learning

Explainable AI

Algorithms for dynamical systems

Signal processing

Jobbeschreibung

Job Title: Research Assistant (XAI)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Mechanical Engineering

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 23/10/2026

Job Description

This position focuses on advancing the mathematical and computational foundations of interpretable algorithms for dynamical systems and explainable AI. The successful candidate will develop new methods for modelling, simulating, and understanding complex dynamical processes with a focus on Earth system science, and connections to physics-informed learning, and interpretable machine intelligence.

Qualifications

• Machine learning
• Explainable AI
• Algorithms for the simulation of classical dynamical systems (including climate-relevant targets such as transport, multiscale flows, and extremes)
• Signal processing, time evolution, and structure-preserving transformations

Req ID: 33520