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.
RESPONSIBILITIES
- Developing research models and methods for robust and safe reinforcement learning
- Prototyping the developed methods
- Evaluating the developed methods on safe reinforcement learning tasks such as blocks world, robotics
- Ensuring these methods are integrated into the overall showcase for the project
- Minimum PhD degree in Computer Science, Information Systems or closely related computing focused disciplines from a reputable institution of higher learning
- Minimum 0-2 years of relevant research experience in Reinforcement Learning, Autonomous Agent Systems, Automated planning
- Publications in top-tier AI and ML conferences such as AAAI, IJCAI, ICAPS, AAMAS, ICML, NeurIPS, ICLR
- Expert Proficiency in programming languages such as python is required (at least 4 years)
- Demonstrated experience and know-how on Reinforcement Learning, automated planning
- Experience in training and finetuning large language models
- Demonstrated experience in deep learning (at least 3 years)
- Publicly available source codes for published research papers
- Relevant course work in algorithms, data structure, probability, statistics, AI and machine learning
- Good analytical, technical and problem solving skills
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Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
