Research Engineer, SCIS

• Contract | Full Time
• Manager
• Master's or equivalent | Bachelor's Degree or equivalent
• Singapore | SGD 3,600 - SGD 4,500 Monthly | Closing On 01 Mar 2023

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

• This position is for School of Computing and Information Systems.
• Responsible for conducting research on automated assessment of trustworthiness of AI systems (specifically, those based on Reinforcement Learning). 
• 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 reputable 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 reputable international conference or journal will be advantageous.