Research Fellow, AI & Multimedia Security - Watermarking

Singapore Institute of Technology; Singapore; Presencial; SGD 60.000 - 90.000; Jornada completa

Descripción de la vacante

The Singapore Institute of Technology invites applications for a Research Fellow on a 1-year contract under an AI Singapore-funded programme focusing on copyright protection for AI-assisted creative content. The work aims to develop safeguards to verify, trace, and revoke AI-generated visual content in production workflows.

The role includes researching robust watermarking for deep learning models and AI-generated media, publishing findings, and maintaining Python-based code while collaborating

Formación

• PhD required in a relevant field (computer science, electrical engineering or related).
• Experience with deep learning model watermarking or AI security research.
• Strong publication record and ability to communicate technical concepts.

Responsabilidades

• Conduct research on robust watermarking for deep learning models and AI-generated visual content (video/temporal media).
• Publish research findings in top-tier conferences and journals; present results.
• Maintain and update research documentation, code, and Python platforms.
• Collaborate with project partners and contribute to deliverables and reports.
• Assist with project-related student training and administrative tasks.

Conocimientos

Python (PyTorch)

Research & publication

Communication

Educación

PhD in Computer Science / Electrical Engineering

Herramientas

PyTorch

Python

Descripción del empleo

The Singapore Institute of Technology invites applications for a Research Fellow on a 1-year contract under an AI Singapore-funded programme focusing on copyright protection for AI-assisted creative content. The work aims to develop safeguards to verify, trace, and revoke AI-generated visual content in production workflows.

The role includes researching robust watermarking for deep learning models and AI-generated media, publishing findings, and maintaining Python-based code while collaborating