Research Scientist, Scis
4 days ago
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 Scientist (1-year contract), SCIS
RESPONSIBILITIES
- This position is for School of Computing and Information Systems.
- Responsible for conducting research on Cross-Network Multi-Agent RL-Based Trading Strategy for Crypto.
- Research machine learning latest literature centered around reinforcement learning.
- Discuss and design reinforcement learning based algorithms for crypto asset management.
- Collect and process crypto asset data from open sources.
- Implement core algorithm component and conduct research experiments.
- Compile research results and draft research papers under guidance from supervisor.
QUALIFICATIONS
- PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
- Minimum 3 years of relevant research experience in machine learning.
- Proficiency in programming software/languages such as python and coding experience with C or C++ will be positively considered.
- Demonstrated in-depth knowledge in machine learning, and experience with reinforcement learning will be highly valued.
- Good analytical, technical and problem-solving skills.
- Applicants with research publications in machine learning/AI/data mining area will be advantageous.
- Self-motivated individual who can work independently and also collaboratively with team members.
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