• Contract
• Manager
• Bachelor Degree | Masters
• Singapore | Closing On 16 Jun 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 and novel testing solutions that can identify safety, robustness, and fairness issues in AI systems (specifically, those based on Reinforcement Learning)
• 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 local team members and 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
• Good knowledge about automated software testing (fuzzing) and artificial intelligence (reinforcement learning)
• Highly fluent in Python and Java
• Competent in designing and implementing algorithms and data structures
• Good oral and written communication skills
• Excellent analytical, technical and problem-solving skills
• Self-motivated individual who can work independently and also collaboratively with team members
• Able to work under strict deadlines
• Prior experience as Research Assistant or Research Engineer is highly preferred
• Research capability as evidenced by tangible deliverable i.e., relevant publication in a international conference or journal will be advantageous