Participants will spend approximately 2–3 months working in the laboratory, where they will engage in machine learning–based analysis of time-related events, such as variations in river water levels and temperature changes. They will also develop predictive models based on these analyses.

Throughout the program, participants will gain hands-on experience in data collection and preprocessing, model development and tuning, as well as the interpretation and analysis of results.

Each participant will receive a monthly stipend of at least NTD 15,000, along with access to a dedicated learning and research environment. Interested students are warmly invited to apply.

All activities in this program will be conducted in English. Applicants are expected to have a fundamental understanding of machine learning concepts and proficiency in Python programming.