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Generative AI Specialist

1 week ago

Singapore NTU (Nanyang Technology University- Main Office-HR) Full time
Digital Trust Centre at Nanyang Technological University

We are a research centre dedicated to creating a trustworthy digital environment for people and businesses. Our mission is to establish Singapore as a trusted digital hub through our national program.

Job Role:

We are seeking a Research Fellow to join our team, focusing on multi-modal model testing. The successful candidate will be responsible for conducting advanced research in Generative AI, designing and developing Large Language Models (LLMs), and investigating methodologies to ensure AI authenticity and integrity of digital content.

Key Responsibilities:
  1. Conduct research in Generative AI, focusing on the design, development, and optimization of multi-modal LLMs.
  2. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content.
  3. Develop and refine machine learning and deep learning algorithms, including machine unlearning techniques, to enhance model robustness and reliability.
  4. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems.
  5. Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research community.
Requirements:
  • PhD degree in computer science or engineering or a related field.
  • Proficiency in Python is mandatory; experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
  • Background in Generative AI research, including multi-modal LLMs, and AI Safety research, including AI authenticity, accountability, and integrity of digital content.
  • Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • Strong analytical and problem-solving skills, with a focus on developing innovative solutions for multi-modal LLMs.
  • Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
  • Competent in collaborative skills, with experience working in cross-functional teams.