Research Fellow

1 day ago

Singapore National University of Singapore Full time

Overview

Research Fellow (Generative AI for Blockchain Designs) at National University of Singapore. The project explores how to leverage large language models for meaningful blockchain consensus designs, with applications in supply chain finance. Supported by DTC Singapore.

Job Description

In the era of rapidly advancing artificial intelligence, the project aims to explore how to leverage the power of large language models for meaningful blockchain consensus designs. The project will also look into applications in supply chain finance and is supported by DTC Singapore.

Job Requirements
  • Holding a PhD degree in Computer Science, Industrial Engineering, Mathematics, Finance, Financial Engineering or other related Engineering or Science disciplines.
  • Research Experience: Candidates should have a strong publication record in top AI conference and journals, and should demonstrate research independence and leadership in certain AI domain.
  • Background in Natural Language Processing (NLP): Candidates should have strong understanding of machine learning principles, particularly in the field of NLP. The candidate should be very experienced in carrying out GPU-based Deep Learning training/LLM post-training process.
  • Proficiency in Blockchain and Cryptocurrency: Prior exposure to understanding of blockchain mechanisms, especially consensus, is essential. The candidate should be proficient in writing smart contracts for specific purposes.
  • Programming Skills: Strong programming skills are preferred, particularly in languages commonly used in machine learning and smart contracts, such as Python and Solidity. Candidates should be adept at libraries and frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and Scikit-learn.
More Information
  • Location: Kent Ridge Campus
  • Organization: College of Design and Engineering
  • Department: Industrial Systems Engineering and Management
  • Employee Referral Eligible: No
  • Job requisition ID: 30245
Seniority level
  • Not Applicable
Employment type
  • Full-time
Job function
  • Research, Analyst, and Information Technology
Industries
  • Higher Education
  • Education Administration Programs
  • Strategic Management Services

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