Research Assistant - Gen AI and Problem-solving

National University of Singapore; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

A leading university is seeking a candidate to engage in research and development for AI-assisted problem-solving methodologies. The role involves conducting literature reviews, performing desk research, and documenting findings. Ideal candidates should possess a strong STEM background and good writing skills in English.

Qualifications

• Strong STEM background with relevant degrees.
• Knowledge about Gen AI and commercial LLM models.
• Good writing skills in English for research reports.

Responsibilities

• Conduct literature review of classical problem-solving methodologies.
• Perform desk research on Gen AI development and capabilities.
• Develop models for AI-assisted problem-solving methodologies.
• Document and write reports for projects.

Skills

Gen AI

Writing Skills

Education

Degree in Engineering

Degree in Computer Science

Degree in Mathematics

Degree in Science

Degree in Quantitative Analytics

Job description

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

• Literature review of classical problem-solving methodologies
• Desk research on Gen AI development and capability
• Develop models for AI-assisted problem solving methodologies
• Project documentation and report writing

Job Requirements

• Knowledge and skills about Gen AI
• Familiarity with popular commercial LLM models
• A strong STEM background with relevant degrees (Engineering, Computer Science, Mathematics, Science, Quantitative Analytics)
• Good writing skills in English for research reports

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 : 29356