Research Assistant (CCTF Blockchain Seed Fund)
Quick Summary
Research and develop automated vulnerability detection and static/dynamic analysis tools for smart contracts. Build testing frameworks, benchmark datasets, and maintain open-source repositories.
Bachelor’s degree in Computer Science, Software Engineering, or a related computing field. Solid programming skills (Python, Go, Rust,
The NTU Centre in Computational Technology for Finance (NTU-CCTF) is a world-class multi-disciplinary research centre. We are seeking a highly motivated Research Assistant to conduct cutting-edge research in smart contract security and quality assurance. The role focuses on developing automated tools (fuzzers, static/dynamic analyzers) to detect vulnerabilities in decentralized applications and ensure the reliability of blockchain networks.
Responsibilities
~1 min read- →Research and develop automated vulnerability detection and static/dynamic analysis tools for smart contracts.
- →Build testing frameworks, benchmark datasets, and maintain open-source repositories.
- →Assist in drafting high-quality research papers for top-tier software engineering and security venues.
- →Collaborate closely with graduate students and researchers to achieve project milestones.
Requirements
~1 min read- Bachelor’s degree in Computer Science, Software Engineering, or a related computing field.
- Solid programming skills (Python, Go, Rust, or C++) and familiarity with smart contracts (Solidity/EVM).
- Knowledge of software quality assurance, static/dynamic analysis, or fuzzing.
- Excellent communication skills, initiative, and ability to work independently.
- Entry-level candidates are welcome to apply.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTULocation & Eligibility
About this job
- Who can apply
- Singapore
- Posted
- Today
Listing Details
- Posted
- November 12, 2026
- First seen
- November 12, 2026
- Last seen
- November 12, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- November 12, 2026
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