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Research Associate – Deepfake Detection

ntu · Singapore

🇬🇧 English
PyTorch OpenCV Python Linux CUDA GPU computing model optimization

Job description

About the role

The School of Electrical and Electronic Engineering at Nanyang Technological University is seeking a Research Associate to lead a project on real‑world deepfake detection and image forgery localization. You will work within the ROSE Lab, collaborating with faculty, PhD students and international visitors.

Key responsibilities

  • Lead research into deepfake detection, image forgery detection, localization and multimedia forensics.
  • Create or adapt large‑scale datasets for algorithm training and evaluation.
  • Participate in the execution of funded research projects as part of a multidisciplinary team.
  • Assist in drafting proposals for new research grants in the above areas.

Required profile

  • Master's degree in Computer Science, Data Science, Engineering or a related field.
  • Research experience in computer vision, image processing, multimedia forensics, or deepfake detection.
  • Strong written and oral communication skills and ability to lead a small team of researchers or assistants.

Required skills

  • Proficiency with PyTorch and OpenCV.
  • Programming in Python and C/C++.
  • Experience with Linux (Ubuntu) environments.
  • Knowledge of GPU computing, CUDA programming and model optimization.

Questions fréquentes

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Source : ats:workday

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ntu

Singapore