Postdoctoral Research Scientist, Ocean CDR Atlas

Regional Modeling and Atlas Generation

• Configure a mesoscale-resolving ROMS-MARBL domain for the West Coast of North America within C-Star; establish baseline model performance and validation benchmarks.

• Validate the CDR Tracer (two-tracer) framework within the regional configuration; confirm fidelity against full MARBL reference simulations.

• Design and execute targeted sensitivity experiments addressing geographic release season and location, surface vs. bottom-intensified release configurations, and submesoscale resolution sensitivity.

• Co-design and configure a nested submesoscale-resolving subdomain (in collaboration with external partners) to examine mixed-layer exchange dynamics at 1–10 km scales.

• Develop derived data products using linear superposition of OAE and DOR signals to support multi-intervention simulations (ERW, riverine alkalinity enhancement, partially equilibrated OAE).

Reproducible Workflows and Data Release

• Manage production runs under the resulting HPC allocation.

• Build reproducible, documented dataset-generation workflows within C-Star that are extensible to other regions and serve as templates for future Atlas projects.

• Work with the larger team to:

  • design and implement a data formatting, transformation, and management strategy;  

  • design and implement a public data hosting strategy, including example analysis tools;

  • and release the Atlas as a public, documented dataset with an uptake efficiency kernel library enabling convolution-based MRV for arbitrary deployment configurations.

Community Engagement and Scientific Communication

• Work with the larger team to actively engage the data user community — including CDR deployment operators, MRV practitioners, and academic collaborators — through direct outreach, workshops, and/or collaborative design.

• Submit a peer-reviewed manuscript documenting methodology, validation, and key scientific results.

• Contribute to [C]Worthy's broader scientific program, including participation in field-building activities, user roundtables, and community engagement.

• Ph.D. in oceanography, atmospheric science, geophysical fluid dynamics, or a closely related field.
• Demonstrated experience configuring, running, and evaluating regional ocean models (ROMS, MOM6, NEMO, FVCOM, or equivalent).
• Strong background in ocean biogeochemistry, including carbonate chemistry and air-sea gas exchange.
• Scientific software development proficiency in Python; ability to work with large geospatial datasets.
• Experience with HPC computing environments (e.g., NERSC, NCAR/Wyoming, NSF ACCESS).
• Ability to independently design and execute model experiments and interpret results in the context of real-world applications.
• Strong written and oral communication skills; ability to collaborate in a small, fast-moving research team.

• Familiarity with ROMS or MARBL source code; experience with coupled physical-biogeochemical model configuration.
• Prior work on CDR quantification, MRV methodology, or ocean carbon cycle research.
• Experience developing reproducible scientific workflows (e.g., Prefect, Snakemake, or similar orchestration tools).
• Familiarity with data formats designed for large, cloud-native, multi-dimensional spatial data (e.g. ZARR, HDF, netCDF, COG), visualization tools, and public dataset publication practices.
• Experience engaging with non-academic stakeholders (industry, policy, NGOs) or contributing to applied science products.
• Interest in and familiarity with AI/ML approaches as applied to scientific modeling or data analysis.

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