Research Fellow In Quantum Algorithms And Learning Theory - Part-Time

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-in-Quantum-Algorithms-and-Learning-Theory/33655-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

We are seeking a Research Fellow to join an advanced research project at the intersection of quantum computing and learning theory.

Main Responsibilities:

• Design, analyze, and implement quantum learning models and training algorithms.
• Study the computational and statistical properties of quantum learning methods.
• Publish research findings in leading conferences and journals.

Qualifications

• PhD in Computer Science, Physics, Mathematics, or a closely related field
• Mathematical foundation, particularly in linear algebra, probability, and optimization
• Background or strong interest in quantum computing, quantum information, or quantum algorithms
• Knowledge of machine learning or learning theory
• Analytical thinking, problem-solving skills, and intellectual curiosity
• Ability to work both independently and collaboratively in a research environment
• Strong scientific writing and communication skills

More Information

Interested applicants should submit the following documents:

• Curriculum Vitae (CV)
• Research statement (1-2 pages) outlining research interests and relevant experience
• Contact information for 2 referees (Letters may be requested at a later stage)

For more information, please contact Lirandë Pira at [email protected]

We encourage applications from candidates with diverse backgrounds. Applicants who do not meet all the listed criteria but are interested in the role are encouraged to apply.