Research Fellow (Machine Learning) 1

National University of Singapore; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

National University of Singapore invites outstanding researchers to join a joint project between the MathEXLab (Mechanical Engineering) and the Centre for Quantum Technologies. The role focuses on classical and quantum algorithm design, with an emphasis on drug discovery and molecular modelling.

The successful candidate will work within a multi-disciplinary team, contributing to robust software implementations and both quantum and classical algorithm development.

Qualifications

• Experience with machine learning methods and ML workflows.
• Knowledge of quantum computing concepts and quantum algorithms is advantageous.
• Familiarity with dynamical systems theory and modelling.
• Ability to implement robust production-grade software for research.
• Strong analytical and collaboration skills in multidisciplinary teams.

Responsibilities

• Collaborate in a cross-disciplinary team to design classical and quantum algorithms.
• Develop software implementations for research prototypes and production-grade code.
• Contribute to applications in drug discovery and molecular modelling.

Skills

Machine learning

Quantum Machine Learning

Dynamical Systems

Algorithms for dynamical systems

Signal processing

Job description

Job Title: Research Fellow (Machine Learning) 1

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: 12/08/2026

Job Description

We invite excellent candidates in classical machine learning to join a collaborative research initiative between the MathEXLab of NUS (Mechanical Engineering) and the Centre for Quantum Technologies (CQT). The project benefits from access to both leading experts in the field and advanced quantum computing infrastructure.

The successful candidate will work within a multidisciplinary team that combines classical and quantum algorithm design, software implementation, and applications in drug discovery and molecular modelling. The research will contribute to the development of both quantum and/or classical algorithms, supported by robust, production-grade implementations.

Qualifications

• Machine learning
• Quantum Machine Learning
• Dynamical Systems
• 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: 34038