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NANYANG TECHNOLOGICAL UNIVERSITY

Research Engineer I (Computer Engineering/Computer Science/Electronics Engineering)

Professional Contract 0 年以上の経験

月給

$3,300 – $6,600

掲載日

2026年3月19日

2026年4月2日 まで

スキル

TeamworkElectronics EngineeringDesign of ExperimentsIndependenceWritten CommunicationComputer ScienceTeam Managementimplementation skillsTeam PlayerResearchcomputational skills

職務内容

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:

  • Develop and optimize AI models, including data preparation, training and evaluation.

  • Collaborate with teams to implement models and improve performance based on results.

  • Design and conduct human behavioral experiments, including developing protocols and ensuring compliance.

  • Collect and analyze experimental data and interpret findings to support research objectives.

Job Requirements:

  • Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

  • Independent, highly analytical, proactive and a team player

  • Excellent teamwork and verbal, written communication skills

  • Strong coding and implementation skills in developing AI models

  • In depth understanding of neural circuits for controlling eye movements in neuroscience

  • Strong communication skills in terms of writing and reading academic papers, and presenting research works in public settings

  • Candidates must have strong computational background

  • Candidates must have coding experiences in deep reinforcement learning and deep learning

  • Candidates must also have strong neuroscience backgrounds especially in designing and conducting human behavioral experiments

We regret that only shortlisted candidates will be notified.