Postdoctoral Research Scientist, OAE Process-Model Testbed

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 develop a one-dimensional (1D) OAE process-model testbed within the C-Star modeling system. This lightweight, rapidly iterable modeling environment is designed to isolate and characterize the biogeochemical processes most critical to OAE efficacy in the vicinity of alkalinity addition: mineral particulate dissolution and precipitation kinetics, particle transport and sinking, electrochemical alkalinity addition, and sediment alkalinity cycling.

The processes identified by the 1D testbed will enable increasing skill and confidence in estimates of total alkalinity delivery into the regional-scale water column, and act as a tool for uncertainty characterization. The resulting parameterizations will feed directly into three-dimensional ROMS-MARBL regional model configurations-ensuring that scientific advances made in the testbed translate immediately into improved operational MRV tools across [C]Worthy's full modeling stack.

This project addresses a fundamental bottleneck in OAE science: the mismatch between the complexity of the relevant biogeochemical processes and the computational cost of resolving them in full 3D ocean simulations. The 1D testbed eliminates that mismatch, enabling rapid parameter sweeps, systematic perturbed-parameter ensembles, and clean comparison against laboratory and field datasets. The work proceeds in close collaboration with industry partners including Ebb Carbon, Planetary, and Isometric, who will contribute empirical constraints from field and laboratory deployments.

Key Responsibilities

Testbed Development and Scientific Investigation

• Design and implement a one-dimensional OAE process-model testbed within C-Star, using a lightweight physical solution (idealized mixing, turbulence, lateral flows) that allows rapid model prototyping and iteration.
• Develop a generalized representation of explicitly sinking particulate material within the MARBL biogeochemical model, including parameterizations of mineral dissolution (e.g., olivine, calcite), precipitation kinetics, and particle sinking velocities.
• Develop and calibrate representations of particles generated in situ by electrochemical and mineral…