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Open nowPosted 3 days ago

Research Assistant (AGI Research)

MyCareersFuture91,877 open roles

Pay
SGD 4,500 – SGD 6,500 a month
Where
West, Singapore
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Your applicationOpen nowResearch Assistant (AGI Research)MyCareersFuture · West, Singapore

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 3 days ago

MyCareersFuture median: 4 days open

The posting

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28AGI-Research%29/27812-en_GB/

We regret that only shortlisted candidates will be notified.

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 submit your latest Curriculum Vitae to the NUS Career Portal. 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.
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