McGill University Benefits Overview

Develops uncertainty quantification, calibration, active-learning, and machine-learning methods for reliable predictions and experimental decision-making. Maintains Python pipelines for statistical modeling and analysis, develops retrieval and memory methods for scientific LLM agents, and contributes to publications, conference presentations, and grant reporting. The role requires knowledge of machine learning, probabilistic modeling, interpretability, and machine-learning-guided materials design, with proficiency in Python and reproducible scientific software development.

Supports a contemporary music ensemble by preparing, distributing, and collecting sheet music; recording attendance; setting up and striking rehearsals; confirming seating assignments; and coordinating with ensemble supervisors and directors. Requires strong communication, attention to detail, timely email follow-up, work-study eligibility, and music student status. The part-time schedule may include weekends.

Supports a university music ensemble by preparing, distributing, and collecting sheet music; submitting attendance records; setting up and striking rehearsals; confirming seating assignments; and coordinating with ensemble supervisors and librarians. Requires strong communication, attention to detail, timely email follow-up, music student status, and availability determined by ensemble needs, including possible weekends.