Research Fellow (Quantum), School of Computing

National University of Singapore; Singapore; Vor Ort; SGD 80.000 - 110.000; Vollzeit

Zusammenfassung

The National University of Singapore invites applications for the position of Research Fellow in quantum computing and artificial intelligence, in the Department of Computer Science, School of Computing. The role involves research at the interface of quantum information, quantum many-body physics and machine learning, with opportunities to work with industry partners and international collaborators.

Collaborations will be with the Principal Investigator and the wider Singapore quantum AI

Qualifikationen

• PhD in physics, computer science, applied mathematics or a related field.
• Research experience in quantum information and computation, quantum many-body physics, tensor-network or ML.
• Strong programming skills (Python) and ability to work independently as well as in a team.
• A publication record appropriate to career stage.

Aufgaben

• Collaborate closely with the Principal Investigator and the wider Singapore quantum AI ecosystem.
• Research topics at the interface of quantum information, quantum many-body physics and ML.
• Opportunities to collaborate with industry partners and international collaborators.

Kenntnisse

Quantum information

Machine learning

Python

Ausbildung

PhD (completed or near completion)

Tools

Python

Jobbeschreibung

Job Title: Research Fellow (Quantum), School of Computing

University-Level Unit: School of Computing

Faculty/Department-Level Unit: Department of Computer Science

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 04/09/2026

Job Description

The National University of Singapore invites applications for the position of Research Fellow in quantum computing and artificial intelligence, in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will collaborate closely with the Principal Investigator, Assistant Professor Zhang Yuxuan, as well as with the wider Singapore quantum AI ecosystem. Research topics are at the interface of quantum information, quantum many-body physics and machine learning, and include verifiable quantum advantage and quantum complexity; the classical simulability of quantum circuits using tensor-network and Pauli-path methods; quantum simulation of many-body and open quantum systems on current quantum hardware; and machine-learning methods for quantum circuit compilation and for representing quantum states. Theory-oriented, computational and hardware-facing projects are all available, and there are opportunities to work with industry partners in quantum computing and with collaborators across North America, Europe and Asia. Further details of the group and its current openings are at https://yuxuanzhang1995.github.io/join/, and informal enquiries to the Principal Investigator are welcome.

Only shortlisted applicants will be notified.

Qualifications

• A PhD in physics, computer science, applied mathematics or a related field, completed or nearing completion
• Research experience in one or more of: quantum information and computation, quantum many-body physics, tensor-network or other numerical methods, and machine learning
• Strong programming skills (for example Python), and the ability to work independently as well as within a team
• A publication record appropriate to career stage

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science

Employee Referral Eligible: No

Job requisition ID : 34320

Req ID: 34320