Research Scientist
United StatesFull-TimeSenior
Salary120,000 - 150,000 USD per year
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Job Details
- Languages
- English
- Experience
- 3+ years of postdoctoral or equivalent research experience
- Required Skills
- PythonCloud ComputingMachine LearningPyTorchDeep Learning
Requirements
- PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related field
- 3+ years of postdoctoral or equivalent research experience applying machine learning or deep learning to weather forecasting or Earth system modeling
- Proficiency in Python and relevant ML frameworks (PyTorch or JAX)
- Experience in high-performance or cloud computing environments and large-scale parallel processing
- Experience handling noisy data, uncertainty propagation, and error estimation in a geoscientific context
- Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical imagery
- Demonstrated ability to work effectively in cross-functional, multi-disciplinary teams
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 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
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