Research Fellow (Computer Science/Artificial Intelligence/Machine Learning)

On-siteJuniorResearch Scientistposted 4d ago

✦Role summaryAI-generated

This role focuses on pioneering advancements in deep learning and large-scale model optimization, requiring hands-on research to develop novel techniques for distributed training and generalization. The position emphasizes academic rigor and collaboration within a top-tier university setting, ideal for early-career researchers with a strong theoretical and practical foundation in AI.

Skills required

Deep learning Large-scale model optimization Distributed systems Generalization techniques Scalable algorithms Neural architecture search Reinforcement learning High-performance computing Data parallelism Gradient optimization Data science Machine learning AI

About this role

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.

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.

Key Responsibilities:

To conduct independent research in deep learning, large-scale model optimization, and generalization.
To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training.
To conduct theoretical analysis of optimization and generalization to inform the design of practical training algorithms.
To produce high-quality publications in top-tier machine learning conferences and journals.
To offer guidance and assistance to students involved in the project.
To collaborate with academic and industrial partners and perform other duties related to the research program.

Job Requirements:

A PhD in Computer Science, Artificial Intelligence, Machine Learning, or relevant fields.
Strong theoretical research capability, particularly in the theoretical analysis of optimization, convergence, stability, and/or generalization of deep learning models.
Strong background in machine learning optimization, with experience in distributed or multi-node collaborative training; experience in large-scale training is highly desirable.
Strong publication record in top-tier machine learning conferences and journals, such as ICML, ICLR, NeurIPS, and IEEE TPAMI.
Demonstrated capability to formulate fundamental research problems, develop novel optimization methodologies, and conduct rigorous theoretical and empirical studies.
Independent, highly analytical, proactive, and capable of working effectively in a collaborative research environment.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

Apply on Ntu →Opens in new tab

score your resume against this role