Research Fellow – Quantum-Enhanced Learning & Algorithms

About the role

The Centre for Quantum Technologies at NTU seeks a Research Fellow to lead independent and collaborative work at the intersection of quantum information science, machine learning, and related theoretical fields.

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.

Required profile

• PhD in Quantum Information, Theoretical Physics, Computer Science, Mathematics, Machine Learning or a closely related discipline (or near‑completion).
• 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 and quantum combs
• Machine learning and statistical learning theory
• Reinforcement learning
• Differential privacy
• Model reduction and distillation
• Quantum reservoir computing
• Variational quantum circuits
• Quantum resource theories and quantum thermodynamics