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Research Fellow (Computer Engineering/CS/Electronics)

ntu · NTU Main Campus

New
Senior 🇬🇧 English
Deep learning Foundation models Diffusion models Watermarking Object detection Video processing Software implementation

Job description

About the role

Nanyang Technological University (NTU) Singapore, through its College of Computing and Data Science, is recruiting a Research Fellow in Computer Engineering, Computer Science or Electronics Engineering. The post sits within a young, research-intensive university and involves developing state-of-the-art methods and systems, supervising junior researchers and students, and preparing papers and reports.

Key responsibilities

  • Literature review of existing methods and models, and identification of their weaknesses
  • Propose and develop state-of-the-art methods to overcome existing problems
  • Train and evaluate models and systematically compare them with recent models
  • Prepare papers and reports
  • Develop systems based on the developed models for agencies and commercial partners
  • Supervise junior researchers and master students
  • Oversee and report project progress

Required profile

  • PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent
  • Preferably 4+ years of research experience, including PhD study
  • Demonstrated capability to conduct innovative research, formulate hypotheses and design effective experiments
  • Ability to collaborate in a multidisciplinary team and to adapt to new scientific approaches
  • Willingness to work some flexible hours

Required skills

  • In-depth knowledge of deep learning, especially foundation models and diffusion models
  • Position-specific knowledge: watermarking (protecting and attacking), open-vocabulary/few-shot and referring object detection, or video summarization, key-frame extraction and test-time domain adaptation
  • Strong software implementation skills
  • Strong publication record at top AI conferences or journals (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, TIP, TIFS, TMM); preferably related to object detection, watermarking or video processing

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Source : ats:workday

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Published 3 hours ago

Expires 1 month from now

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ntu

NTU Main Campus