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Research Fellow – Trust Technologies & Digital Forensics

ntu · Singapore

🇬🇧 English
PyTorch TensorFlow Python Java Go homomorphic encryption federated learning secure computation Machine Learning Digital Forensics AI Generation Models

Job description

About the role

The National Centre for Research in Digital Trust at Nanyang Technological University seeks a highly motivated Research Fellow to advance trustworthy digital content, AI systems, and forensic technologies for financial crime detection and anti‑money‑laundering efforts.

Key responsibilities

  • Design and develop trust technologies such as digital forensics for financial investigations, graph analytics, criminal network discovery, and suspicious activity detection.
  • Implement and deliver working prototypes or demos of the developed systems.
  • Lead or contribute to research and industrial projects, producing scientific reports and papers.

Required profile

  • Ph.D. in Computer Science, Mathematics, Information Theory, Cybersecurity, Electrical Engineering, or a related discipline.
  • Strong publication record in top‑tier AI, security, privacy, digital forensics, or trustworthy computing venues.
  • Proven ability to work independently and collaboratively in a multidisciplinary team.

Required skills

  • Deep‑learning frameworks: PyTorch, TensorFlow.
  • Programming languages: C, C++, Python, Java, Go.
  • Domain expertise: Machine Learning, Digital Forensics, AI Generation Models.
  • Privacy‑preserving technologies: homomorphic encryption, federated learning, secure computation.

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Source : ats:workday

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Published 1 month ago

Expires 2 weeks from now

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ntu

Singapore