ZipRecruiter

Log In

1

Provenance Research Jobs (NOW HIRING)

aka (fka mem protocol)

Researcher

San Francisco, CA · On-site

You're the kind of researcher who reads the paper, questions the setup, builds the missing system ... provenance, and auditability. The work starts with unclear questions and ends with systems others ...

Reflection AI, Inc

Data Governance Lead

New York, NY · On-site

Our Mission Reflection is a research lab making intelligence open and accessible for everyone to ... Own dataset provenance, training-data summaries, DPIAs, and the privacy and compliance posture of ...

Reflection AI

Data Governance Lead

Manhattan, NY · On-site

Our Mission Reflection is a research lab making intelligence open and accessible for everyone to ... About This Role Own dataset provenance, training-data summaries, DPIAs, and the privacy and ...

next page

Showing results 1-20

All JobsProvenance Research Jobs

Provenance Research information

What does a typical day look like for someone working in Provenance Research?

A typical day in Provenance Research involves reviewing historical documentation, analyzing archival records, and compiling detailed reports on the ownership histories of artworks or artifacts. You may collaborate closely with curators, legal specialists, auction houses, or collectors to verify information and address gaps in provenance. The work often requires a blend of independent research and teamwork, particularly when investigating complex or contested histories. This dynamic and investigative role is ideal for those who enjoy problem-solving and contributing to the preservation of cultural heritage.

What is a Provenance Research job?

A Provenance Research job involves investigating the history, ownership, and legitimacy of artworks, antiques, or cultural artifacts. Researchers trace the origins of items to ensure they were acquired legally and ethically, often focusing on gaps in ownership during periods of conflict or colonial rule. This work is crucial for museums, auction houses, and private collectors to verify authenticity and rightful ownership.

What are the key skills and qualifications needed to thrive in the Provenance Research position, and why are they important?

To thrive in Provenance Research, you need strong analytical abilities in art history or related fields, a keen eye for detail, and advanced research skills, typically backed by a relevant degree. Familiarity with archival databases, cataloguing systems, and sometimes provenance-specific software or certifications is highly valuable. Excellent written communication, persistence, and collaborative skills will set you apart when interacting with stakeholders and navigating complex historical records. These abilities ensure accurate tracing of an object's history, essential for authenticity, legal compliance, and institutional reputation.

More about Provenance Research jobs
What cities are hiring for Provenance Research jobs? Cities with the most Provenance Research job openings:
What are the most commonly searched types of Provenance Research jobs? The most popular types of Provenance Research jobs are:
What states have the most Provenance Research jobs? States with the most job openings for Provenance Research jobs include:
What job categories do people searching Provenance Research jobs look for? The top searched job categories for Provenance Research jobs are:
Provenance Research jobs near you
Infographic showing various Provenance Research job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 17% Part Time, 6% Temporary, and 6% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Postdoctoral Research Scientist, Ocean CDR Atlas

Convergent Research

Boulder, CO • On-site

Full-time

Posted 26 days ago

Job description

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 30, 2026. Applications received after this date will 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).
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.

Apply