Research Scientist

🕒 June 24

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Digital Harbor Foundation

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2011

🤝 Non-profit

📚 Education

📡 Telecommunications

💰 Grant - Digital Harbor Foundation on 2025-08

Non-profit • Education • Telecommunications

Digital Harbor Foundation is a nonprofit organization that advances digital equity by creating access to technology, high-quality STEM learning, and broadband connectivity in Baltimore and beyond. It runs youth-focused tech labs and educator training through its Tech Center and Center of Excellence, bridges academic innovation and the tech economy via its Tech Extension and Product Studio, and deploys community broadband through Project Waves to connect unserved and underserved households. The foundation also offers fiscal sponsorship and convenes partners to scale social-impact technology solutions.

📋 Description

• 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

• 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

• 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)