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Digital Harbor Foundation

Research Scientist

Digital Harbor Foundation

Research Scientist at Arête Glacier Initiative developing machine learning and physics-informed models. Collaborating with teams to forecast glacier impacts on sea level rise through predictive modeling and simulations.

Posted 6/24/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies
CloudPythonPyTorchRemote Sensing

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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 (e.g., forecasting, downscaling, emulation)
  • Proficiency in Python and relevant ML frameworks (PyTorch or JAX) with 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

Benefits

Comp & perks
  • Health Benefits & Insurance
  • Carefirst Blue Cross Blue Shield - Health, Dental, and Vision Insurance (100% of the premium paid for employees and 85% of dependents)
  • Pre-Tax Health Savings Account (HSA) (with $275 monthly employer contributions)
  • Pre-Tax Flexible Savings Account (FSA)
  • Paid Accidental Death & Dismemberment (AD&D) Insurance
  • Paid Short-Term & Long-Term Disability Insurance
  • Paid Basic Life Insurance
  • Supplemental Voluntary Life Insurance (Employee, Spouse & Dependent Children)
  • Total Pet Plan and Supplemental Wishbone Pet Insurance
  • Employee Opportunity Program (EAP) - Health and Wellness
  • Wellness Reimbursement Program
  • Retirement 401k Retirement Plan (with 6% matching)
  • Paid Time Off 15 Days Paid Time Off Per Year
  • 16 Paid Holidays (14 common plus 2 flexible holidays, including Dec 25 - Jan 1)
  • Paid Bereavement Leave
  • Paid Parental Leave for Moms and Dads (two weeks after first year)

ATS Keywords

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Hard Skills & Tools
machine learningdeep learningprobabilistic modelshybrid physics-ML modelsnumerical simulationsdata processingerror estimationuncertainty propagationPythonhigh-performance computing
Soft Skills
collaborationteamworkcommunicationfeedback receptioncross-functional teamwork
Certifications
PhD in atmospheric sciencePhD in geophysicsPhD in applied mathematicsPhD in computer science