Research Engineer, Scis - Singapore - Singapore Management University
Description
COMPANY DESCRIPTION
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.DESIGNATION :
Research Engineer (1-year contract), SCIS
RESPONSIBILITIES
- Design and implement advanced and novel algorithms that can address 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
QUALIFICATIONS
- 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 or related disciplines
- Good knowledge about 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 problemsolving skills
- Selfmotivated individual who can work independently and also collaboratively with team members
- Able to work under strict deadlines
- Research capability as evidenced by tangible deliverable i.e., relevant publication in an international conference or journal will be advantageous
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