Data Science | AI internship: Spatiotemporal forecasting methods

Work on spatiotemporal forecasting to improve prediction of overlay for semiconductor manufacturing quality and yield. Investigate advanced forecasting methods, develop and validate ML models on large-scale datasets, and build a Python prototype forecasting pipeline. Compare models to baselines, analyze factors like forecast horizon and model complexity, document findings, and present outcomes to the research team in an internship format starting in February 2027 (with earlier start possible).