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全职 Research Associate (Full-Stack Development) 工作, 薪水, National University Of Singapore Central Region (Singapore) 公司招聘中 - Ricebowl

Research Associate (Full-Stack Development)

National University Of Singapore

Undisclosed

全职

Queenstown, Central Region (Singapore)

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工作地点

  • Queenstown Central Region (Singapore) Singapore

职位描述

岗位职责

Job Title: Research Associate (Full-Stack Development)
University-Level Unit: Science
Faculty/Department-Level Unit: Mathematics
Employee Category: Research Staff
Location_ONB: Kent Ridge Campus
Posting Start Date: 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 Design.
  • 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).

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