Research Assistant (Computer Engineering/Computer Science/Electronics Engineering)

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

NTU Singapore’s College of Computing and Data Science is seeking a research-focused candidate to conduct advanced research in computer vision and multimodal AI. You will design and evaluate deep learning models, curate datasets, and contribute to reports, papers, and code repositories while collaborating with the PI and team.

The role emphasizes independent, analytical work, strong teamwork, and flexibility to adapt methods within a multidisciplinary research environment in a leading global

Qualifications

• 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.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• Ability to design and implement new experimental methods.
• Oversee and report project progress.
• Willingness to work some flexible hours.

Responsibilities

• Conduct research and development in computer vision, multimodal learning, medical/industrial imaging, and related AI4X topics.
• Design, implement, train, and evaluate deep learning models and research prototypes using Python/PyTorch and related tools.
• Prepare and curate research datasets, conduct experiments, and perform result analysis.
• Review literature and identify baselines, datasets, evaluation protocols, and opportunities.
• Contribute to technical reports, project deliverables, research papers, code repositories, and presentations.
• Work closely with the PI and collaborators, participate in research meetings, and support collaborative research activities.

Skills

Analytical thinking

Team player

Excellent communication

Research capability

Experiment design

Multidisciplinary collaboration

Education

Bachelor’s degree in computer engineering/Computer Science/Electronics Engineering

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:

Conduct research and development in computer vision, multimodal learning, medical/industrial imaging, and related AI4X topics. Design, implement, train, and evaluate deep learning models and research prototypes using Python/PyTorch and related tools. Prepare and curate research datasets, conduct quantitative and qualitative experiments, and perform rigorous result analysis. Review relevant literature and identify suitable baselines, datasets, evaluation protocols, and research opportunities. Contribute to technical reports, project deliverables, research papers, code repositories, and presentations. Work closely with the PI and collaborators, participate in research meetings, and support collaborative research activities. Perform other research-related duties as assigned by the PI in support of the project 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 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.

Hiring Institution:

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive