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Research Engineer, School of Computing and Information Systems

Employer
SINGAPORE MANAGEMENT UNIVERSITY
Location
Singapore
Closing date
21 Oct 2021
  • Contract
  • Manager
  • Masters | Bachelor Degree
  • Singapore | Closing On 21 Oct 2021

1-year contract

About Us

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together – building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities – all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

Job Description

  • Design and implement advanced software composition analysis solutions that scan dependency hierarchies and builds new deep learning architectures to analyse code and document repository dataand flag vulnerabilities
  • Design and implement advanced directed grammar -based fuzzing solution that generates valid test cases (following predefined grammars) and drives test executions to vulnerable code
  • Conduct evaluations to validate the effectiveness of the algorithms and tools
  • Write and publish research papers and present them to academic conferences
  • Package the documents, implementation code, evaluate results of the project for public release
  • Liaise with the overseas and industry collaborators of this project to realize the overall goal of the project

Qualifications

  • Minimum Bachelor or Master degree with first or second upper class degree classi fication (or their equivalent) in Information Systems / Computer Science/ Information Technology / InformaticsEngineering / Computer Engineer / Software Engineering
  • Good knowledge about program analysis, data mining and/or machine learning techniques
  • Highly fluent in Python
  • Competent in designing and implementing algorithms and data structures
  • Good oral and written communication skills
  • Able to work both independently and as part of a team
  • Able to work under strict deadlines
  • Prior experience as Research Assistant or Research Engineer is preferred
  • Research capability as evidenced by tangible deliverable i.e publication in an international conference or journal will be advantageous

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