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

NANYANG TECHNOLOGICAL UNIVERSITY

Singapore

On-site

SGD 60,000 - 80,000

Full time

14 days+
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Job summary

Nanyang Technological University in Singapore is seeking a research candidate in the area of AI and Data Science. The role involves literature review, proposing innovative methods, and training models for practical applications.

The ideal candidate holds a Master's degree in a relevant field and possesses strong software skills along with a publication record in top-tier conferences. Research experience of at least 1 year is preferred.

Qualifications

  • Preferably a strong publication record at top AI conferences or journals.
  • Strong software implementation skills.
  • Preferably 1 year+ research experience, including master study.

Responsibilities

  • Literature review of existing methods and models.
  • Identify weaknesses of existing models.
  • Propose and develop state-of-the-art methods.
  • Train and evaluate models and systems.
  • Prepare papers and reports.
  • Develop systems based on developed models for partners.

Skills

Independent
Analytical
Team player
Excellent communication skills
AI editing methods knowledge
Object detection knowledge
Research capability
Software implementation skills

Education

Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent

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.

We regret that only shortlisted candidates will be notified.

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