Research Assistant (Computer Science)

at  NANYANG TECHNOLOGICAL UNIVERSITY

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

Key Responsibilities:

• Conduct research in the field of neural networks, vision-language AI, and computational narrative intelligence.
• Independently read and critically evaluate existing literature on AI.
• Implement neural networks and carry out experiments under the supervision of a professor
• Write papers and present the research work to a wide audience

Job Requirements:

• Bachelor in Computer Science or equivalent.
• Strong background in Python and PyTorch programming.
• Curiosity in learning new knowledge and investigating unsolved problems,
• Keen observation for clues that most people may overlook,
• Audacity to carry on after temporary setbacks.
• Excellent oral and written communication.
• Excellent teamwork, sense of responsibility, and interpersonal skills

We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU

• Conduct research in the field of neural networks, vision-language AI, and computational narrative intelligence.
• Independently read and critically evaluate existing literature on AI.
• Implement neural networks and carry out experiments under the supervision of a professor
• Write papers and present the research work to a wide audienc