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

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading research university in Singapore invites applications for a research position focused on AI and Computer Science. The role involves conducting innovative research, proposing novel methodologies, and developing models for projects. Ideal candidates should have a Master's degree in a relevant field, strong analytical abilities, and software skills. This position offers an opportunity to contribute to significant advancements in AI, biometrics, and video analysis, and requires a collaborative spirit along with a strong publication record.

Qualifications

• Master's degree in Computer Engineering, Computer Science, or Electronics Engineering is preferable.
• Strong software implementation abilities.
• 1+ year of research experience is preferred.

Responsibilities

• Conduct literature reviews of existing methods.
• Propose and develop innovative methods and models.
• Train, evaluate, and compare models with recent efforts.
• Prepare research papers and reports.
• Develop systems based on the models for partners.

Skills

Analytical skills

Team player

Communication skills

Research capabilities

Software implementation

Education

Master in Computer Engineering, Computer Science or 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. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #5 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.

Key Responsibilities

• Literature review of existing methods and models
• Identify the weaknesses of existing models
• Propose and develop state-of-the-art methods to overcome existing problems.
• Train and evaluate the models and systemically compare them with recent models.
• Prepare papers and reports.
• Develop systems based on the developed models for agencies/commercial partners

Job Requirements

• Preferably Master 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.
  • For image authentication: In depth knowledge of AI editing methods, deepfake classification methods, and property of generative models.
  • For biometrics: In depth knowledge of face recognition, soft biometrics, extraction biometric information in videos
  • For video analysis: In depth knowledge of object detection, video summarization.
• 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.
• Preferably a strong publication record at top AI conferences or journals, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, TIP, TIFS, TMM and TBio is a plus.
• Preferably publications related real/AI generated image classification, video processing, or biometrics
• Strong software implementation skills.
• Preferably 1 year+ research experience, including master study.