Research Fellow (Quantum-Enhanced Learning, Agents and Algorithms)

About the role

The Centre for Quantum Technologies at NTU invites applications for a Research Fellow position focused on quantum‑enhanced learning, intelligent 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.

Key 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 multiple disciplines.
• Contribute to the supervision and development of graduate students.
• Support the achievement of research milestones and project objectives.

Required profile

• PhD in Quantum Information, Theoretical Physics, Computer Science, Mathematics, Machine Learning or a closely related discipline (candidates nearing completion may be considered).
• Demonstrated research excellence through publications, conference presentations or related scholarly achievements.
• Strong analytical, problem‑solving and quantitative research skills.
• Excellent written and verbal communication skills.
• Ability to work effectively both independently and within multidisciplinary research teams.

Required skills

• Quantum algorithms
• Quantum stochastic processes
• Quantum combs
• Machine learning
• Statistical learning theory
• Reinforcement learning
• Differential privacy
• Model reduction
• Distillation
• Quantum reservoir computing
• Variational quantum circuits
• Quantum resource theories
• Quantum thermodynamics