Quantum-Enhanced Learning & AI Research Fellow

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

The Centre for Quantum Technologies at NTU invites applications for a Research Fellow position in Quantum-Enhanced Learning, Agents and Algorithms. The successful candidate will conduct independent and collaborative research at the intersection of quantum information science, machine learning, statistical learning theory, quantum thermodynamics, and complexity science.

The successful candidate will develop novel theoretical frameworks and algorithms for quantum-enhanced learning and intelligent

Qualifications

• PhD in Quantum Information, Theoretical Physics, CS, Math, ML, or closely related area.
• Demonstrated research excellence with publications or conference talks.
• Experience in quantum algorithms; ML theory; reinforcement learning; or quantum thermodynamics.

Responsibilities

• Conduct high-quality research in quantum-enhanced learning, quantum information science, and related areas.
• Develop new theoretical models, methodologies, and algorithms.
• Publish research outcomes in leading peer‑reviewed journals and conferences.
• Prepare grant applications, technical reports, and research presentations.
• Collaborate with internal and external researchers across disciplines.
• Contribute to supervision and development of graduate students.
• Support achievement of research milestones and project objectives.

Skills

Quantum information

Machine learning

Reinforcement learning

Analytical skills

Communication skills

Independent work

Education

PhD in Quantum Information or related

Job description

The Centre for Quantum Technologies at NTU invites applications for a Research Fellow position in Quantum-Enhanced Learning, Agents and Algorithms. The successful candidate will conduct independent and collaborative research at the intersection of quantum information science, machine learning, statistical learning theory, quantum thermodynamics, and complexity science.

The successful candidate will develop novel theoretical frameworks and algorithms for quantum-enhanced learning and intelligent