Postdoctoral Research Scientist, Ocean CDR Atlas
Core
Develop a high-resolution Ocean CDR Atlas dataset for the West Coast of North America to provide uptake efficiency kernels for MRV quantification of Ocean Alkalinity Enhancement (OAE) deployments.
Role type
Postdoctoral Research Scientist (Ocean Modeling & CDR)
Builds
Open-source modeling platform (C-Star), regional ocean model domains, and a public, documented dataset library with reproducible workflows.
Domain
Oceanography, Carbon Dioxide Removal (CDR), Marine Biogeochemistry
Deliverable
production ML models | product features | dashboards & analysis | research
Required skills
Regional ocean model configuration (ROMS, MARBL, MOM6, NEMO), Ocean biogeochemistry, Carbonate chemistry, Air-sea gas exchange, Python scientific software development, HPC computing, Geospatial data analysis
Preferred skills
ROMS/MARBL source code familiarity, Coupled physical-biogeochemical modeling, CDR quantification/MRV methodology, Reproducible workflow orchestration (Prefect, Snakemake), Cloud-native data formats (ZARR, netCDF), Non-academic stakeholder engagement, AI/ML for scientific modeling
Technologies
ROMS, MARBL, C-Star, Python, HPC (NERSC, NCAR/Wyoming, NSF ACCESS), ZARR, netCDF, COG
Responsibilities
Configure mesoscale-resolving ROMS-MARBL domains and establish validation benchmarks; Validate CDR Tracer framework against reference simulations; Design and execute sensitivity experiments on release season, location, and resolution; Co-design nested submesoscale subdomains for mixed-layer exchange dynamics; Develop derived data products for multi-intervention simulations; Manage production runs on HPC; Build reproducible dataset-generation workflows; Design data formatting, transformation, and public hosting strategies; Engage data user community and academic collaborators; Submit peer-reviewed manuscripts.
Seniority
Postdoctoral, hands-on IC