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Open nowPosted yesterday

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

NANYANG TECHNOLOGICAL UNIVERSITY

Pay
SGD 4,000 – SGD 8,000 a month
Where
West, Singapore
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Your applicationOpen nowResearch Associate (Computer Engineering/Computer Science/Electronics Engineering)NANYANG TECHNOLOGICAL UNIVERSITY · West, Singapore

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The clock on this job

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Share of postings closed within
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  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted yesterday

The posting

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

We regret that only shortlisted candidates will be notified.

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