AI Researcher

4 days ago


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

About NTU DTC

Nanyang Technological University's (NTU) National Centre for Research in Digital Trust (DTC) is a cutting-edge research centre focused on establishing Singapore as a strong trust hub through its national program. Our mission is to create a trusted digital environment for people and businesses in the digital transformation by providing assurance and confidence as they digitalize.

Job Description:

We are seeking an exceptional Research Fellow to join our team at NTU DTC. As a member of our interdisciplinary research team, you will be responsible for conducting advanced research in Generative AI, focusing on the design, development, and optimization of multi-modal LLMs.

Key Responsibilities:

  • You will investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content.
  • You will develop and refine machine learning and deep learning algorithms, including machine unlearning techniques, to enhance model robustness and reliability.
  • You will design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems.
  • You will collaborate with interdisciplinary teams to align AI research with ethical standards and best practices in AI safety.
  • You will publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research community.

Requirements:

  • PhD in computer science/engineering or related fields.
  • Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
  • Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
  • Background in Generative AI research, including multi-modal LLMs.
  • Background in 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, bridging the gap between research and practical application.
  • 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.

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