Nanyang Technological University

ResearchFellow(ComputerEngineering/ComputerScience/ElectronicsEngineering)

S$120–200k ~AI est. Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Research Fellow (Computer Engineering/Computer Science/Electronics Engineering) at Nanyang Technological University. Skills: AI safety, Multi-modal models, Experimental research. Perform literature review. Perform background study”

Industry & Context.

Problems you'll solve

Analytical

Eligibility Requirements

Flexible hours

What They're Looking For.

Must Have

PhD in Computer Engineering, PhD in Computer Science, PhD in Electronics Engineering, Demonstrated capability to conduct innovative research, Ability to formulate hypothesis, Design effective experimental plans, Design and implement new experimental methods, High-level expertise in experiment methods, High-level expertise in modelling methods, Initiate collaboration research, Oversee project progress, Report project progress

Nice to Have

PhD in Computer Engineering, PhD in Computer Science, PhD in Electronics Engineering, Equivalent degree

What You'll Do.

Perform literature review

Perform background study

Apply knowledge on models

Optimize training processes

Optimize inference processes

Compare with baselines

How You'll Work.

Team & Collaboration

Multidisciplinary team

Communication Scope

Verbal communication; Written communication

Full Job Description

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:** The successful applicant will be responsible for the development of * Performing literature review and background study on multi-modal AI safety * Apply knowledge on large multi-modal models to optimize training and inference processes * Conduct experiments to compare with comprehensive baselines and validate results **Job Requirements:** * Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. * Independent, highly analytical, proactive and a team player * Excellent teamwork and verbal, written communication skills * In-depth knowledge relevant to the project domain. * Demonstrated capability to conduct innovative research. * The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry. * Demonstrated ability to formulate hypothesis and design effective experimental plans. * Ability to design and implement new experimental methods. * High-level expertise in the required experiment or modelling methods. * Ability to initiate collaboration research in multidisciplinary team. * Oversee and report project progress. * Ability and willingness to work some flexible hours. We regret that only shortlisted candidates will be notified. Hirin

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