- Singapore
Kerja Sepenuh Masa, Research Fellow (Quantum Machine Learning) di National University Of Singapore - Maukerja
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Job Title: Research Fellow (Quantum Machine Learning)
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
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
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