Research Associate (Full-Stack Development)

National University of Singapore; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

National University of Singapore seeks a Research Associate (Full-Stack Development) to lead end-to-end design and development of interactive systems for optimization and ML models, translating academic research into high‑fidelity web applications.

You will work at the intersection of applied software engineering, user-centered design, and AI systems, collaborating with professors, research fellows, and industry partners to deploy tools to cloud or edge environments.

Qualifications

• Master’s degree in Computer Science, Software Engineering, Engineering or a related technical field, with at least 2 years of relevant work experience.
• Experience with modern web frameworks; React.js preferred.
• Proficiency in Python and backend frameworks such as FastAPI, Flask, or Django.

Responsibilities

• Full-Stack Development: Lead the design and implementation of intuitive UIs and robust backend architectures for ML models.
• System Integration: Build and maintain data collection pipelines and experimental setups that bridge backend mathematical models with frontend interfaces.
• Architecture & Scaling: Maintain clean, scalable codebases and assist in deployment of research tools to cloud or edge environments.
• Rapid Prototyping: Develop high-fidelity UI prototypes through iterative, user-centered design cycles.
• Collaboration: Actively participate in lab meetings and workshops with professors, research fellows, and industry partners.

Skills

React.js

Python

Backend frameworks

Databases (SQL/NoSQL)

Git & IDEs

Education

Master’s degree in Computer Science / Software Engineering / Engineering or related field

Tools

Docker

VS Code

PyCharm

Job description

Research Associate (Full-Stack Development)

University-Level Unit: Science
Faculty/Department-Level Unit: Mathematics
Employee Category: Research Staff
Location: Kent Ridge Campus
Posted On: 15/04/2026

Position Overview

A/P Chen Ying from Mathematics Department, National University of Singapore is seeking a highly motivated and technically proficient Research Associate (Full-Time) to lead the end-to-end design and development of interactive systems for cutting-edge optimization and machine learning (ML) models. This role is pivotal in "translating" complex academic research into functional, high-fidelity web applications and interfaces. You will work at the intersection of applied software engineering, user-centered design, and AI systems.

Major Responsibilities

• Full-Stack Development: Lead the design and implementation of intuitive UIs and robust backend architectures for ML models.
• System Integration: Build and maintain data collection pipelines and experimental setups that bridge backend mathematical models with frontend interfaces.
• Architecture & Scaling: Maintain clean, scalable codebases and assist in the deployment of research tools to cloud or edge environments.
• Rapid Prototyping: Develop high-fidelity UI prototypes through iterative, user-centered design cycles.
• Collaboration: Actively participate in lab meetings and workshops with professors, research fellows, and industry partners.

Qualifications

• Master’s degree in Computer Science, Software Engineering, Engineering or a related technical field, with at least 2 years of relevant work experience.
• Strong experience with modern web frameworks, with a preference for React.js.
• Proficiency in Python and experience with backend frameworks such as FastAPI, Flask, or Django.
• Familiarity with relational databases (e.g., PostgreSQL, MySQL) or NoSQL solutions (e.g., MongoDB).
• Proficiency in version control (Git) and modern development environments (VS Code, PyCharm, etc.).
• Ability to explain technical trade-offs to a multidisciplinary team.

Preferred (Bonus) Skills

• Experience in designing and consuming APIs.
• Experience with human-centered design.
• Exposure to machine learning pipelines (Scikit-learn, PyTorch, or TensorFlow) and model deployment.
• Experience with containerization (Docker) and cloud services (AWS, Firebase, or similar).