Research Fellow (Physics/Computer Science/Mathematics/Machine Learning)

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Our group is actively seeking a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around variational quantum algorithm in the near-term, especially on innovating advanced error mitigation or detection techniques to solve quantum many-body physics problems with high accuracy.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.
 

Key Responsibilities:

• To conduct independent research in near-term variational quantum algorithms.

• To seek and demonstrate practical utility of variational quantum algorithm by leveraging error mitigations techniques and symmetries embedded in quantum many-body systems.

• To produce publications in top conferences and journals.

• To offer guidance and assistance to any students involved in the project.

• To collaborate with industrial and academic partners.

• To collaborate with interdisciplinary teams, including experts in physics, chemistry, and those who work on quantum computing hardware.

• To perform any other duties related to the research program.

Job Requirements:

• A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields.

• Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI, NeurIPS, ICML, ICLR, and etc.

• Experience in interdisciplinary studies of deep learning, mathematics, and physics is preferred.

• Strong theoretical background in quantum learning theory, quantum many-body physics, and quantum error mitigation.

• Good programming skills in Python. Familiarity with PyTorch or tensorflow will be a bonus.

• Proficiency of programming skill with quantum machine learning architectures, such as PennyLane, Qiskit, and similar platforms, is preferred.

• Capable of handling multiple tasks across projects and research activities.

• Showing excellent communication skills, and willingness to learn.

• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.