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 alkalinity addition, in collaboration with industry and other research partners.
• Run large perturbed-parameter ensembles to systematically explore parameter space and quantitatively assess uncertainty in OAE-relevant outcomes.
• Validate parameterizations against existing empirical datasets from laboratory experiments and field deployments, in close collaboration with Ebb Carbon, Planetary Technologies and other partners.
• Develop and/or implement a simplified model of alkalinity cycling in seafloor sediments, characterizing the level of sediment process representation required for robust OAE simulation at regional scales.

Integration and Infrastructure

• Implement all process formulations within the ROMS-MARBL framework so that validated parameterizations are immediately portable to three-dimensional C-Star configurations.
• Contribute to C-Star software infrastructure, ensuring the testbed is a first-class C-Star component with proper blueprint and workplan schema, documentation, and reproducibility.
• Develop tutorials and demonstrations for how to use the testbed to develop and improve OAE-related parameterizations-supporting the broader research community's ability to contribute process advances.

Scientific Communication and Collaboration

• Maintain active, substantive collaboration with Ebb Carbon, Planetary Technology, Isometric, and other partners to ensure model development is grounded in practical implementation and observational reality.
• Submit peer-reviewed manuscripts documenting parameterization calibration, validation, and scientific findings.
• Contribute to [C]Worthy's broader scientific program, including participation in field-building, user roundtables, and community engagement.

Required Qualifications

• Ph.D. in oceanography, marine chemistry, geochemistry, chemical oceanography, or a closely related field.
• Strong background in ocean biogeochemistry, including carbonate chemistry, alkalinity, and marine carbon cycling.
• Familiarity with marine mineral dissolution/precipitation kinetics and/or particle dynamics.
• Scientific software development proficiency in Python; experience working with biogeochemical model code (Python, Fortran, or Julia).
• Ability to design systematic numerical experiments, interpret results in light of observational constraints, and communicate findings clearly.
• Collaborative disposition and comfort working in partnership with industry stakeholders alongside academic researchers.

Preferred Qualifications

• Experience with MARBL or a comparable marine biogeochemistry library; familiarity with ROMS-MARBL coupling.
• Prior research on OAE, mineral weathering and dissolution, mineral precipitation, or related alkalinity-modifying processes.
• Experience developing, calibrating, or validating models.
• Laboratory or field experience with OAE experiments, tracer releases, or marine carbonate chemistry measurements.
• Familiarity with Bayesian calibration methods, ensemble parameter estimation, or uncertainty quantification.
• Interest in agentic AI applications for scientific model development and workflow automation.

$83,000 - $95,000 a year

This position is full-time, fixed-term (2 years, with possibility of renewal), subject to funding availability.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.