Graduate/PhD Research Intern, Machine Learning

Tech Stack

Responsibilities

• Design and run ML experiments for forecasting and anomaly/risk prediction in network operations.
• Develop and evaluate models using time-series, probabilistic, and simulation-informed approaches.
• Improve feature engineering, dataset quality, and evaluation methodology.
• Build reproducible research workflows for training, validation, and model comparison.
• Communicate findings through clear technical writeups and recommendations.

Culture

Requirements