Research Assistant (Generative AI for Blockchain Designs)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading educational institution in Singapore seeks candidates for a project exploring the integration of AI and blockchain technologies. The role requires a Bachelor's degree in relevant fields, a strong understanding of Natural Language Processing (NLP), and proficiency in programming languages like Python and Solidity. Candidates should be well-versed in blockchain mechanisms and smart contract development.

Qualifications

• Bachelor’s degree in relevant engineering or science disciplines.
• Understanding of machine learning principles in NLP.
• Proficient in blockchain mechanisms and smart contract writing.
• Strong programming skills particularly in Python and Solidity.

Skills

Natural Language Processing (NLP)

Blockchain mechanisms

Programming in Python

Smart contracts in Solidity

Familiarity with 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 the 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 be familiar with 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.