Trustworthy AI Developer
7 days ago
We are seeking an outstanding Research Fellow to join our team at the Nanyang Technological University (NTU) National Centre for Research in Digital Trust (DTC). In this role, you will contribute to the development of trustworthy AI systems, focusing on multi-modal model testing and researching novel approaches to ensure AI authenticity, accountability, and the integrity of digital content.
Key Responsibilities:
- Investigate and develop methodologies to guarantee AI authenticity, accountability, and the integrity of digital content.
- Refine machine learning and deep learning algorithms to enhance model robustness and reliability.
- Design and execute comprehensive AI testing frameworks to assess and mitigate risks in AI systems.
- Collaborate with interdisciplinary teams to align AI research with industry best practices and ethical standards in AI safety.
- Publish research findings in top academic conferences and journals, contributing to the broader AI and machine learning research community.
Requirements:
- PhD degree in computer science/engineering or related field.
- Proficient in Python programming; experience with other languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly beneficial.
- Background in Generative AI research, including multi-modal LLMs, and familiarity with AI Safety research.
- Strong understanding of machine learning and deep learning techniques, including machine unlearning, and AI testing.
- Ability to convey complex technical concepts effectively to both technical and non-technical audiences.
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