The Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY) invites applications for the position of Research Assistant.

Key Responsibilities: 

• Response for training and optimizing large language models.

• Implement reinforcement learning algorithms to improve language models alignment.

• Develop systems for efficient and systematic experimental data collection.

• Assist in the comprehensive analysis of data, and create detailed visualizations for academic publications.

• Write research papers/reports based on the requirements of the project.

Job Requirements: 

• BEng/BSc/MEng/MSc in computer science, machine learning, data science, information science, mathematics, or related disciplines.

• Experiences/Knowledge in deep learning, reinforcement learning, and user interface development.

• Proficiency with GNU/Linux, Python and at least one of the main machine learning libraries (e.g., pytorch, tensorflow, keras).

• Experience in mathematical modeling competitions, ACM programming contests, and paper publication is preference.

• Solid background in mathematics and excellent writing and communication skills.

We regret that only shortlisted candidates will be notified.