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Jobs or company...

Research Assistant (AGI Research)

  • Full Time, onsite
  • SingHealth Duke-NUS Global Health Institute
  • Singapore, Singapore
Salary undisclosed
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Job Description

Job Description

Prof. YAN Shuicheng from the Learning and Vision Lab at the School of Computing, National University of Singapore is exploring e-AGI: Efficient, Embodied, and Evolving. We are seeking creative Research Assistants for this direction. This position offers a unique opportunity to develop novel computational architectures for foundation models, explore embodied AI approaches, and pioneer self-improving methodologies that push the boundaries of intelligent systems.

Key Responsibilities
  • Develop a comprehensive understanding of diverse research domains and relevant literature, mastering a wide range of research techniques.
  • Identify tractable components within complex research problems, showcasing exceptional problem-solving skills.
  • Investigate emerging tools, technologies, and methodologies under the guidance of experienced mentors, contributing specialized expertise to effective project planning.
  • Successfully complete research tasks that yield innovative outcomes.
  • Develop algorithms, prototypes, theoretical frameworks, tools, analyses, insights, or datasets that address critical aspects of our overarching research objectives.

Apply

If you are excited to join our cutting-edge AGI research team, please send your latest Curriculum Vitae to [email protected]. We look forward to exploring this exciting opportunity with you.

Job Requirements
  • A strong commitment to academic and research excellence.
  • Solid understanding of large language models, with practical experience using deep learning libraries such as PyTorch, TensorFlow, JAX, or equivalents.
  • Demonstrated ability to collaborate effectively with fellow researchers.
  • A penchant for unconventional thinking as a catalyst for creative and innovative solutions.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science

Employee Referral Eligible: No

Job requisition ID : 27812