Quantum ML Research Assistant: Algorithms & Training

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

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.