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Research Engineer, School of Information Systems

Employer
SINGAPORE MANAGEMENT UNIVERSITY
Location
Singapore
Closing date
20 Dec 2019

View more

  • Contract
  • Manager
  • Bachelor Degree | Masters
  • Singapore

Closing On 11 Jan 2020

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 solutions that automatically harvests, links, and makes sense of information units about APIs from various media -- API documentations, posts in question and answer sites, GitHub repositories, programming videos on YouTube, software development related microblogs on Twitter, CVE vulnerability reports, etc. -- to make effective and explainable API recommendations using the power of deep neural networks.
  • Conduct evaluations and user studies to validate the effectiveness of the algorithms and tools
  • Write and publish research papers and present them to reputable 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 classification (or their equivalent) in Information Systems / Computer Science/ Information Technology / Informatics Engineering / Computer Engineer / Software Engineering
  • Knowledge about program analysis, data mining and/or machine learning techniques
  • Highly fluent in C, Java, and 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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