Research Fellow
2 weeks ago
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.
Job Responsibilities:
- To conduct independent research in large-scale deep learning models.- To investigate the learnability of LMs from a physical perspective.- 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 perform any other duties related to the research program.
Job Requirements:
- Preferably PhD in Computer Science or relevant fields.-
- Strong publication record in top conferences/journals, such as 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, representation learning, and quantum computing.- Good programming skills in Python. Familiarity with PyTorch or Tensorflow is 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.
Hiring Institution: NTU
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