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Research Assistant, School of Computing

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National University of Singapore (NUS)

Kent Ridge Campus

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Research Assistant, School of Computing

Research Staff

2026-06-08

Location

Kent Ridge Campus

National University of Singapore

Type

Research Staff

Start Date

2026-03-30

Required Qualifications

Bachelor’s in Computer Science or related
Data analysis, statistics, econometrics
Python, R or similar proficiency
Large/semi-structured datasets experience
Project management & stakeholder coordination
Strong organizational, communication skills

Research Areas

Information Systems
Data Analytics
Econometrics
Project Coordination
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Research Assistant, School of Computing

Research Assistant, School of Computing

University-Level Unit: School of Computing

Faculty/Department-Level Unit: Department of Information Systems And Analytics

Employee Category: Research Staff

Location: Kent Ridge Campus

Posting Start Date: 30/03/2026

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Information Systems and Analytics, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We are seeking a Research Assistant (RA) with strong analytical and organizational capabilities to support ongoing research projects. The RA will play a dual role involving both data-driven research support and active project management across multiple initiatives within the lab.

On the technical side, the RA will assist in processing and preparing semi-structured and large-scale datasets for econometric and analytical work. This includes implementing and adapting algorithms, ensuring data quality, and supporting empirical analysis. The candidate will gain exposure to proprietary datasets and real-world business problems, contributing to research at the intersection of academia and practice.

In parallel, the RA will be responsible for coordinating multiple research projects, managing timelines, and liaising with technical and non-technical stakeholders. This includes ensuring smooth execution of project milestones, facilitating communication across collaborators, and maintaining accountability across workstreams.

The role also provides an opportunity to contribute to the development of new research ideas and projects. Subject to contribution and performance, the RA may be considered for co-authorship in academic outputs, with appropriate attribution to the lab.

This position is well-suited for candidates with a strong interest in pursuing doctoral studies and developing a rigorous research profile.

Qualifications

  • A Bachelor’s degree in computer science, or related fields
  • Strong background in data analysis, statistics and econometrics
  • Proficiency in at least one programming language (e.g., Python, R, or similar)
  • Experience working with large and/or semi-structured datasets
  • Demonstrated ability to manage projects, timelines, and multiple stakeholders
  • Strong organizational and communication skills
  • Technical maturity and ability to engage with both data and systems-level problems
  • Ability to work independently while coordinating across teams
  • Prior experience in research assistance, data analysis, or project coordination is preferred
  • Demonstrated interest in academic research and intention to pursue doctoral studies is highly desirable

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Frequently Asked Questions

📚What qualifications are required for the Research Assistant role at NUS School of Computing?

Candidates need a Bachelor’s degree in computer science or related fields, strong background in data analysis, statistics, and econometrics, proficiency in Python, R, or similar, and experience with large or semi-structured datasets. Preferred: research assistance, project coordination, and interest in doctoral studies. Build your profile with our free resume template or check tips in how to excel as a research assistant.

🔬What are the main responsibilities of this Research Assistant position?

Support data-driven research by processing semi-structured datasets, implementing algorithms, ensuring data quality, and aiding empirical analysis. Manage multiple projects: coordinate timelines, liaise with stakeholders, track milestones. Contribute to new ideas, potential co-authorship on publications. Explore similar roles at research assistant jobs.

📅When is the application deadline and start date for this NUS job?

Applications close on June 8, 2026 (expiration date). Posting starts March 30, 2026. Apply early via the official link in the posting. Track deadlines with our research jobs listings.

🎓Is this Research Assistant role suitable for PhD aspirants?

Yes, ideal for those pursuing doctoral studies. Gain exposure to proprietary datasets, real-world problems, project management, and potential co-authorship. Develop a rigorous research profile. Learn more in postdoctoral success tips or browse postdoc opportunities.

💻What programming and technical skills are needed?

Proficiency in at least one language like Python or R for data processing, algorithm implementation, and econometric analysis. Handle large-scale datasets, ensure quality. Technical maturity for data and systems problems. Preferred: prior research or coordination experience.

📝How to apply for this School of Computing Research Assistant position?

Click 'Apply now' in the job post. Prepare CV highlighting data analysis, programming, and project skills. Tailor with our free cover letter template. Positions like this are in higher ed faculty jobs and research categories.

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