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Research Fellow

2 weeks ago

Singapore NTU (Nanyang Technology University- Main Office-HR) Full time
About the Role

Nanyang Technological University's National Centre for Research in Digital Trust (DTC) aims to establish Singapore as a strong trust hub. The centre supports efforts to create a trusted digital environment by providing assurance and confidence to businesses and consumers during digital transformation.

Key Responsibilities:
  • Conduct advanced research in Generative AI, focusing on multi-modal Large Language Models (LLMs).
  • Investigate and implement methodologies to ensure AI authenticity, accountability, and digital content integrity.
  • Develop machine learning and deep learning algorithms, including machine unlearning techniques, to enhance model robustness and reliability.
  • Design and execute AI testing frameworks to assess and mitigate risks in AI systems.
  • Collaborate with interdisciplinary teams to align AI research with ethical standards and best practices in AI safety.
  • Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research community.
Job Requirements:
  • PhD degree in computer science/engineering or related fields.
  • Proficiency in Python is required, with experience in other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow being advantageous.
  • Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including data preprocessing, feature extraction, model training, and evaluation.
  • Background in Generative AI research, including multi-modal LLMs.
  • 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.
  • Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
  • Strong collaborative skills, with experience working in cross-functional teams.
  • Keen attention to detail and commitment to high-quality deliverables.
  • Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.