Research Assistant in Quantum Algorithms and Machine Learning

National University of Singapore; Singapore; On-site; SGD 33,000 - 60,000; Full time

Job summary

National University of Singapore, Centre for Quantum Technologies, invites a Research Assistant to advance quantum computing and machine learning research at Kent Ridge Campus. The role blends theory with experiments, aiming to develop scalable quantum training methods and novel optimization frameworks.

The successful candidate will contribute to both theoretical advances and experimental implementations, with opportunities to co-author publications and collaborate with leading researchers in

Qualifications

• Master’s or PhD in Computer Science, Physics, Mathematics, or a closely related field.
• Strong foundation in linear algebra, probability, and optimization.
• Background or strong interest in quantum computing, quantum information, or quantum algorithms.
• Knowledge of machine learning (e.g., deep learning, optimization, or learning theory).
• Programming in Python and scientific computing (NumPy, SciPy, PyTorch).
• Familiarity with quantum software frameworks (Qiskit, PennyLane, Cirq).
• Experience with research or advanced technical projects.

Responsibilities

• Develop and implement quantum learning models
• Design and evaluate novel quantum optimization and training algorithms
• Perform large-scale simulations using frameworks such as Qiskit and PennyLane
• Potentially execute experiments on state-of-the-art quantum hardware
• Benchmark quantum models against classical and hybrid baselines
• Contribute to research publications at leading venues
• Develop reusable, high-quality research code and contribute to open-source tools

Skills

Python programming

Machine learning

Analytical thinking

Team collaboration

Scientific writing

Education

Master’s or PhD in CS/Physics/Math

Tools

NumPy

SciPy

PyTorch

Qiskit

PennyLane

Cirq

Job description

Job Title: Research Assistant in Quantum Algorithms and Machine Learning

University-Level Unit: Centre for Quantum Technologies

Faculty/Department-Level Unit: Exploratory Initiatives Group

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 14/04/2026

About The Centre For Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

We are seeking a promising Research Assistant to join an advanced research project at the intersection of quantum computing and machine learning, focused on developing scalable and coherent training methods for quantum models.

This project tackles one of the central challenges in quantum machine learning: how to train quantum systems efficiently and reliably on scaling quantum hardware. The research will develop novel optimization frameworks based on quantum dynamics and apply them to advanced learning architectures.

The successful candidate will contribute to both theoretical advances and experimental implementations, with opportunities to co-author publications and engage with leading researchers in the field.

Main Responsibilities

• Develop and implement quantum learning models
• Design and evaluate novel quantum optimization and training algorithms
• Perform large-scale simulations using frameworks such as Qiskit and PennyLane
• Potentially execute experiments on state-of-the-art quantum hardware
• Benchmark quantum models against classical and hybrid baselines
• Contribute to research publications at leading venues
• Develop reusable, high-quality research code and contribute to open-source tools

Qualifications

• Master’s or PhD in Computer Science, Physics, Mathematics, or a closely related field
• Mathematical foundation, particularly in linear algebra, probability, and optimization
• Background or strong interest in quantum computing, quantum information, or quantum algorithms
• Knowledge of machine learning (e.g., deep learning, optimization, or learning theory)
• Programming skills in Python and experience with scientific computing (e.g., NumPy, SciPy, PyTorch)
• Experience with numerical simulations, algorithm design, or high-performance computing is advantageous
• Familiarity with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) is preferred
• Experience with research or advanced technical projects
• Analytical thinking, problem-solving skills, and intellectual curiosity
• Ability to work both independently and collaboratively in a research environment
• Strong scientific writing and communication skills

We encourage applications from candidates with diverse backgrounds. Applicants who do not meet all the listed criteria but are interested in the role are encouraged to apply.