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

About the role

The Centre for Quantum Technologies at NTU is inviting applications for a Research Fellow in Quantum-Enhanced Learning, Agents and Algorithms. The successful candidate will carry out independent and collaborative research at the intersection of quantum information science, machine learning, statistical learning theory, quantum thermodynamics and complexity science. The role involves developing theoretical frameworks and algorithms, publishing high-impact results, preparing proposals and presenting at conferences, while working with faculty, researchers and students and mentoring postgraduate students.

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 disciplines.
• Contribute to the supervision and development of graduate students.
• Support 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 of their PhD may also be considered.
• Demonstrated research excellence through publications, conference presentations or similar scholarly achievements.
• Knowledge of one or more of the listed topics, such as quantum algorithms, reinforcement learning, differential privacy, variational quantum circuits and quantum resource theories.
• Strong analytical, problem-solving and quantitative research skills, and excellent written and verbal communication skills.
• Ability to work independently and within multidisciplinary teams.