Research Assistant (Generative AI for Blockchain Designs)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

A leading university in Singapore is inviting applications for a project exploring the use of large language models in blockchain consensus designs. Ideal candidates should possess a Bachelor's degree in relevant fields and experience in Natural Language Processing, blockchain technology, and programming. Strong skills in Python and Solidity are preferred, along with proficiency in machine learning libraries. This role focuses on innovative applications in supply chain finance and is a unique opportunity for tech-savvy individuals.

Qualifications

• Bachelor’s degree in Computer Science, Industrial Engineering, Mathematics, or Finance.
• Understanding of machine learning principles, especially in NLP.
• Proficiency in blockchain mechanisms and smart contracts.
• Strong programming skills in Python and Solidity.

Responsibilities

• Explore the use of large language models for blockchain consensus.
• Investigate applications in supply chain finance.

Skills

Natural Language Processing (NLP)

Blockchain

Programming in Python

Solidity

Education

Bachelor’s degree in Computer Science or related fields

Tools

TensorFlow

PyTorch

Hugging Face Transformers

Scikit-learn

Job description

Interested applicants are invited to apply directly at NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

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 Bachelor’s degree in Computer Science, Industrial Engineering, Mathematics, Finance, Financial Engineering or other related Engineering or Science disciplines.
• Background in Natural Language Processing (NLP): Candidates should have some understanding of machine learning principles, particularly in the field of NLP. The candidate should have experience in transformer architectures such as BERT, GPT, or T5, and have experience in fine-tuning and training these models on large datasets.
• 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.