[ES_JOBS_NET] Postdoctoral Research Scientist, Ocean CDR Atlas, [C]-Worthy, Boulder, CO

[Christine Wiedinmyer]

https://jobs.lever.co/convergentresearch/07147ace-4d67-47de-9a0a-c7add68bbb68Postdoctoral
Research Scientist, Ocean CDR Atlas

About [C]Worthy
[C]Worthy is a non-profit research organization focused on  transforming
research-grade oceanographic models into open, reproducible, and auditable
decision-support tools for ocean-based carbon dioxide removal (CDR). Our
mission is to deliver trustworthy, science-backed tools for Monitoring,
Reporting, and Verification (MRV)—enabling governments, communities, and
markets to make high-stakes ocean decisions grounded in transparent,
scientifically credible evidence.

We are building three interlocking open-science capabilities: C-Star, an
open-source modeling platform that systematizes regional ocean model
configuration, execution, and evaluation through versioned inputs,
automated workflows, and comprehensive provenance tracking; the C-Star
Ocean Network (C-SON), a growing constellation of standardized regional
modeling domains designed to support consistent CDR accounting across sites
and regions; and the Ocean CDR Atlas, an open dataset library and web tools
that map CDR performance, connectivity, and risk drivers across ocean
regions—providing the basis for low-cost MRV evaluation and
standard-setting worldwide.

These capabilities are not CDR tools alone—they are the foundation for
scalable ocean science. Robust shared infrastructure makes knowledge
transferable and auditable: once validated domains, standardized workflows,
and reusable tooling are in place, the marginal cost of each additional
application falls and the benefits of research innovation can flow across a
network of projects and regions. We aspire to democratize access to
sophisticated ocean information tools, empowering diverse scientific
communities to participate in ocean governance and marine resource
management on their own terms.

[C]Worthy is headquartered in Boulder, Colorado.

For full consideration, *please apply by June 24, 2026.* Applications
received after this date may be reviewed on a rolling basis until the
position is filled.
Role Overview
We are seeking a Postdoctoral Research Scientist to work with our team on
the development of a high-resolution Ocean CDR Atlas dataset for the West
Coast of North America. This dataset will provide a library of uptake
efficiency kernels enabling MRV quantification for OAE deployments across
the eastern Pacific without requiring new model runs for each
scenario—dramatically lowering the modeling burden for individual project
MRV and providing a broadly accessible reference for market standards,
accounting frameworks, permitting and regulatory decision making, public
communication, and research applications.

The Atlas simulations will be performed with the ROMS-MARBL regional ocean
model within C-Star. The postdoc will configure and validate a
mesoscale-resolving domain spanning the Eastern Pacific, co-design a nested
submesoscale-resolving subdomain with external collaborators, run targeted
sensitivity experiments, and aid in the release the Atlas as a public,
fully documented dataset with reproducible C-Star workflows.
Key Responsibilities

*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.

Required Qualifications

   - 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.

Preferred Qualifications

   - 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.

$83,000 - $95,000 a year
This position is full-time, fixed-term (2 years, with possibility of
renewal). We expect this role to start in the Fall (September, 2026).
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