Research Fellow
4 days ago
Nanyang Technological University's National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre focused on supporting the development of a strong trust hub in Singapore.
The centre aims to create a trusted digital environment for people and businesses through the provision of assurance and confidence as they undergo digital transformation.
Role OverviewWe are seeking a Research Fellow to join our Digital Trust Centre, with a focus on multi-modal model testing.
- Conduct Advanced Research in Generative AI:
- Design, develop, and optimize multi-modal Large Language Models (LLMs).
- Investigate and implement methodologies to ensure AI authenticity, accountability, and integrity of digital content.
- Develop and refine machine learning and deep learning algorithms, including machine unlearning techniques, to enhance model robustness and reliability.
- Design and execute rigorous 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.
The successful candidate will be responsible for:
- Publishing findings in top-tier conferences and journals, contributing to the broader AI and machine learning research community.
- Collaborating with interdisciplinary teams to advance AI research and its applications.
- Designing and executing research projects to address real-world challenges in AI and digital trust.
- Communicating complex technical concepts effectively to both technical and non-technical stakeholders.
To be considered for this role, candidates must possess:
- A PhD degree in computer science or a related field.
- Proficiency in Python programming language, with experience in other languages such as Java, C/C++, or Go highly advantageous.
- Background in Generative AI research, including multi-modal LLMs, and AI Safety research.
- Strong knowledge of machine learning and deep learning techniques, including machine unlearning.
- 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.
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