Research Assistant in Quantum Algorithms and Machine Learning

National University of Singapore; Singapore; On-site; SGD 42,000 - 72,000; Full time

Job summary

National University of Singapore's Centre for Quantum Technologies at Kent Ridge Campus seeks a Research Assistant to advance quantum algorithms and machine learning, tackling scalable training for quantum models.

You will develop models, implement training methods, run large-scale simulations with Qiskit/PennyLane, and contribute to publications.

The role offers collaboration with leading researchers and hands-on work with state-of-the-art hardware and software.

Qualifications

• Master’s or PhD in Computer Science, Physics, Mathematics, or related field.
• Strong mathematical 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, learning theory).
• Programming skills in Python; experience with NumPy, SciPy, PyTorch.
• Experience with numerical simulations or HPC is advantageous.
• Familiarity with quantum software frameworks (Qiskit, PennyLane, Cirq) preferred.
• Strong research track record and ability to work independently and collaboratively.
• Excellent scientific writing and communication skills.

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

Machine Learning

Quantum computing

Numerical simulations

Linear algebra

Problem solving

Communication

Independent work

Education

Master’s or PhD in Computer Science, Physics, Mathematics

Tools

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: Kent Ridge Campus
Posting Start Date: 06/07/2026

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

Interested Applicants Should Submit The Following Documents

• Curriculum Vitae (CV)
• Academic transcripts
• Cover letter (1-2 pages) outlining research interests and relevant experience
• Sample of technical work (e.g., paper, report, or code repository)
• Contact information for 2 referees (Letters may be requested at a later stage)

For more information, please reach out to [e-mail].

We encourage applications from candidates with diverse backgrounds.