Research Associate (Computer Engineering/Computer Science/Electronics Engineering)

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Nanyang Technological University Singapore is seeking a skilled professional to manage technical architecture and data processing systems. The role involves designing scalable systems, optimizing data workflows, and mentoring team members to achieve technical excellence.

Ideal candidates will have a Master’s degree in a relevant field, alongside strong Python and backend framework expertise, particularly in FastAPI. Applicants should be proactive, analytical, and capable of working flexible hours while solving complex technical challenges.

Qualifications

• Preferably a Master's degree in a relevant field.
• Proactive and independent with strong analytical skills.
• Excellent teamwork and communication skills.

Responsibilities

• Design end-to-end technical architecture for scalability and maintainability.
• Optimize data manipulation pipelines for high reliability.
• Provide technical authority and mentorship in projects.

Skills

Expertise in Python

Backend frameworks (FastAPI)

Data engineering skills

Web frontend proficiency (JavaScript)

Concurrency paradigms

Communication skills

Education

Master degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent

Job description

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. A hot bed of cutting‑edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities

Technical Architecture & Strategy

• Own and design the end-to-end technical architecture and system blueprints, to ensure long-term scalability, performance, and maintainability.
• Define and enforce engineering standards, code quality, and robust development patterns across the entire technical stack.
• Lead technology evaluation, ensuring backend frameworks (such as FastAPI) and frontend integration paths are optimized for speed and reliability.

Data Processing & Pipeline Optimization

• Architect and optimize complex data manipulation pipelines, specifically engineering high‑reliability systems for heavy data extraction, validation, and file parsing/export workflows (e.g., Excel/CSV data matrices).
• Manage system concurrency, optimizing multi‑processing, worker queue distribution layouts, and cross‑process resource utilization.

Technical Mentorship (Non‑Personnel)

• Serve as the ultimate technical authority on the project, guiding team members through complex system implementation hurdles and conducting code reviews.
• Champion technical excellence and maintain system health boundaries.
• Collaborate closely with project stakeholders to align technical capacity, infrastructure limits, and architectural roadmaps.

Job Requirements

• Preferably Master degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player.
• Excellent teamwork and verbal, written communication skills.
• Expertise in Python and modern backend frameworks (such as FastAPI and Multiprocessing modules).
• Strong data engineering capabilities, including file parsing/export matrix logic (Excel, CSV, JSON).
• Solid web‑frontend proficiency, including DOM manipulation, UI responsiveness, event‑driven programming (JavaScript/jQuery).
• Expertise in concurrency paradigms, including multi‑worker management, process lifecycle tracking, and cross‑process resource isolation.
• Strong understanding of clean architecture principles and design patterns that decouple business logic from AI models.
• Ability and willingness to work some flexible hours.
• Deep passion for hands‑on coding and a genuine love for solving complex technical problems.

Preferred Traits

• Exceptional technical risk assessment skills, with the ability to look at a feature track, identify architectural vulnerabilities, and proactively flag risks with actionable mitigation plans.
• Capable of articulating complex architectural decisions to non-technical stakeholders and framing technical challenges objectively.
• Strong technical leadership and mentorship qualities, with a preference for driving project success through teamwork, system design oversight, and structural code.
• 2+ years industrial working experience.
• Experience on AI system development.