Digital Harbor Foundation is dedicated to fostering learning and creativity through education, and they are seeking a Research Scientist to join their Arête Glacier Initiative. This role focuses on developing data-driven physics and machine learning methods to enhance forecasts of sea level rise and assess interventions for stabilizing ice sheets.
Responsibilities:
- Collaborate with data scientists, engineers and scientists to develop methods to forecast glacier ice flow and its impact on sea level rise
- Integrate domain knowledge into model design and interpret model outputs for physically realistic conditions
- Develop, adapt, and evaluate probabilistic ML and hybrid physics-ML models for cryospheric processes including ice sheet flow, surface mass balance, and ocean-ice interactions
- Develop and run large scale numerical simulations of ice dynamics
- Process and curate large-scale observational and synthetic datasets (e.g., satellite data, radar sounding and ice sheet model outputs) for use in model training and validation
- Identify sensitivities of model outputs to model imperfections of low quality source data or data gaps
- Participate in regular team research reviews, contributing to and receiving feedback on methods and results