Research Fellow (Quantum Machine Learning)

Job Description

Job Title: Research Fellow (Quantum Machine Learning)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Mechanical Engineering

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

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Research Fellow (Quantum Machine Learning)

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