Research Fellow

SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN

Singapore, Singapore
Not specified
Phd in computer science or related field
Strong background in machine learning
Experience with ood detection
The Singapore University of Technology and Design (SUTD) is seeking a Research Fellow to join their team on a project focused on improving the reliability and efficiency of AI systems. The ideal candidate will hold a PhD and possess expertise in machine learning, particularly in areas related to distribution shifts and model robustness

Job Summary

  • The role involves developing training-free methods to improve the reliability, robustness, and efficiency of modern AI systems.
  • Candidates will conduct research on model reliability under distribution shift, including out-of-distribution detection and uncertainty estimation.
  • The successful candidate is expected to publish findings in top-tier conferences such as NeurIPS, ICCV, and IJCAI.

Matching Summary

Match Score: 85

The Singapore University of Technology and Design (SUTD) is seeking a Research Fellow to join their team on a project focused on improving the reliability and efficiency of AI systems. The ideal candidate will hold a PhD and possess expertise in machine learning, particularly in areas related to distribution shifts and model robustness.

Skills & Requirements

Must-have

  • PhD in Computer Science or related field
  • Strong background in machine learning
  • Experience with OOD detection
  • Proficiency in Python and PyTorch
  • Solid mathematical foundation

Nice-to-have

  • Proven publication record in top-tier venues
  • Ability to work independently
  • Collaborative interdisciplinary team player
  • Experience with time series data
  • Industrial fault diagnosis applications

Key Requirements

  • PhD degree required
  • Top-tier publication record preferred
  • Deep learning framework proficiency

Work Rights

Not specified

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