About this opportunity
Digital Harbor Foundation lists this Research Scientist opportunity in baltimore, Maryland. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Overview
Current projections of sea level rise aren’t precise enough and potential solutions to mitigate the contributions of land based glaciers to sea level rise are underexplored. We aim to fund and accelerate existing research by increasing investments in Antarctic science as well as by internally developing accurate forecasts of sea level rise and the expected behavior of Antarctic glaciers. To achieve this we leverage state‑of‑the‑art computational methods combining physics and AI on remote sensing and field data. This role specifically is for the internal development of data‑driven physics and machine learning methods. Climate change is destabilizing marine ice sheets, creating a risk of catastrophic sea‑level rise over the next century. The Arête Glacier Initiative is a new nonprofit initiative dedicated to understanding this risk and assessing the efficacy, safety, and feasibility of potential interventions to stabilize ice sheets.
Minimum Qualifications
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
Preferred Qualifications
Experience in running ice dynamics models such as ISSM, PISM or MALI
Experience with physics‑informed neural networks, neural operators, Graph Neural Networks, or AI‑accelerated FEM modelling
Familiarity with uncertainty quantification methods (e.g., ensembles, Bayesian inference) and sensitivity analysis techniques (e.g., adjoint methods) in a geoscientific context
Experience with large gridded dataset tooling (Zarr, xarray, Dask)
Knowledge, Skills, and Abilities
Develop, optimise, and maintain scalable processing workflows and pipelines for Finite Element Modelling
Design and implement physics‑informed machine learning models to improve predictive accuracy
Quickly learn and apply new tools, datasets, and methods to address evolving project needs
Apply advanced statistical methods to quantify uncertainty and validate model outputs
Communicate complex technical concepts clearly in both written and spoken English, with the ability to communicate effectively with diverse audiences
Demonstrated ability to work independently and collaboratively in a remote, fast‑paced environment
Role and 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
Location
This position is fully remote with occasional in‑person meetings as needed to fulfil the responsibilities of the position.
Compensation
Compensation for this full‑time position is $120,000 – $150,000 annually, commensurate with experience.
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)
Digital Harbor and Arête Glacier Initiative are an equal opportunity employer.
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Worksite address
baltimore, MD, 21276, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.