Research Fellow: Trust Tech & Digital Forensics

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 67,000 - 100,000; Full time

Job summary

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) seeks a Research Fellow to conduct cutting-edge research on trustworthy digital content, AI systems, and advanced forensic technologies for financial crime detection and AML.

You will contribute to the design, development and validation of innovative approaches to detect illicit activities and strengthen trust in digital financial ecosystems.

Qualifications

• PhD in Computer Science, Mathematics, Information Theory, cybersecurity or related field.
• Strong publication record in AI, security, privacy, digital forensics or trustworthy computing.
• Solid background in ML, Digital Forensics, Security and AI generation models.
• Experience with PyTorch or TensorFlow and multiple programming languages.

Responsibilities

• Research and development of trust technologies such as digital forensics for investigations, graph analytics, and detection of illicit activity.
• System development, implementation, and delivery of working prototypes and demos.
• Lead or participate in research and industrial projects.
• Prepare reports and scientific papers.

Skills

Machine Learning

Digital Forensics

AI Systems

Privacy-preserving tech

Education

PhD degree

Tools

PyTorch

TensorFlow

C/C++

Python

Java

Go

Job description

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) seeks a Research Fellow to conduct cutting-edge research on trustworthy digital content, AI systems, and advanced forensic technologies for financial crime detection and AML.

You will contribute to the design, development and validation of innovative approaches to detect illicit activities and strengthen trust in digital financial ecosystems.