Senior Research Fellow, Quantum Reservoir Computing & ML

Nanyang Technological University; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Nanyang Technological University’s School of Physical and Mathematical Sciences invites a Senior Research Fellow to advance the theoretical foundations of quantum reservoir computing. The role focuses on memory and echo state properties in input-driven open quantum dynamics, learnability for temporal quantum learning, and kernel methods, with research stays at the University of Tokyo.

The successful candidate will coordinate with the NTU and Tokyo teams, supervise a graduate student, and publish

Qualifications

• PhD in mathematics, applied mathematics, physics, control theory, electrical engineering, or a related field with 4 years of relevant experience.
• Research record in open quantum systems, quantum control, quantum stochastic processes, quantum information, or the mathematics of dynamical systems and machine learning.
• Knowledge of input-driven and stochastic dynamical systems, operator theory, or functional analysis; familiarity with kernel/RKHS methods or statistical learning theory is a strong advantage.
• Publications in leading journals and the ability to produce original theoretical results.
• Proficiency in Python, MATLAB, or Julia for numerical work.
• Excellent communication skills, ability to work independently and in international collaborations, and willingness to travel for research stays.

Responsibilities

• Analyse memory and echo state properties of quantum reservoirs, including non-Markovian and infinite-dimensional settings.
• Extend stochastic state-space and state-affine frameworks to quantum reservoirs with measurement-induced randomness.
• Derive learnability and generalization guarantees for temporal quantum learning.
• Construct and analyse quantum reservoir-induced kernels and associated finite-sample bounds.
• Run numerical simulations and benchmarks validating the theory.
• Publish in leading journals, present at international conferences, and support project workshops and the associated international conference.
• Coordinate with the Japan-based team and collaborators, and co-supervise a graduate student.

Skills

Memory and echo state properties

Open quantum systems

Kernel / RKHS methods

Machine learning theory

Excellent communication

Education

PhD in mathematics/physics/engineering

Tools

Python

MATLAB

Julia

Job description

Nanyang Technological University’s School of Physical and Mathematical Sciences invites a Senior Research Fellow to advance the theoretical foundations of quantum reservoir computing. The role focuses on memory and echo state properties in input-driven open quantum dynamics, learnability for temporal quantum learning, and kernel methods, with research stays at the University of Tokyo.

The successful candidate will coordinate with the NTU and Tokyo teams, supervise a graduate student, and publish