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.

Qualifications

•    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 : 30248