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Soil Carbon Modeling Jobs (NOW HIRING)

... โ€ข Modeling plant growth, carbon allocation, stress response (e.g., drought, salinity), and ... field inventory data, soil and climate parameters, and genomic/trait data) โ€ข Conducting ...

Prepare data and visualizations such as mineral charts, soil analyses, groundwater modeling, maps ... Experience with UST investigations and remediation including investigation of hydro-carbon impacted ...

Prepare data and visualizations such as mineral charts, soil analyses, groundwater modeling, maps ... Experience with UST investigations and remediation including investigation of hydro-carbon impacted ...

Prepare data and visualizations such as mineral charts, soil analyses, groundwater modeling, maps ... Experience with UST investigations and remediation including investigation of hydro-carbon impacted ...

Prepare data and visualizations such as mineral charts, soil analyses, groundwater modeling, maps ... Experience with UST investigations and remediation including investigation of hydro-carbon impacted ...

... modeling, contaminated sites investigations, and development of conceptual site models ... Classify contaminated soil or environmental materials such as hazardous waste and provide guidance ...

Lead Professional, Hydrogeology

Redmond, WA ยท On-site

$104K - $133K/yr

... modeling, contaminated sites investigations, and development of conceptual site models ... Classify contaminated soil or environmental materials such as hazardous waste and provide guidance ...

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Soil Carbon Modeling information

What is soil carbon modeling?

Soil carbon modeling is the process of using computer models and data to estimate and predict the amount and changes of carbon stored in soil over time. These models help scientists and land managers understand how soil carbon responds to factors like land use, climate change, and agricultural practices. By simulating soil processes, soil carbon modeling supports climate policy, carbon sequestration strategies, and sustainable agriculture. Accurate models are crucial for tracking carbon credits and informing environmental decisions.

What are the key skills and qualifications needed to thrive as a Soil Carbon Modeler, and why are they important?

To thrive as a Soil Carbon Modeler, you need a strong background in soil science, environmental modeling, and data analysis, typically supported by an advanced degree in environmental science, soil science, or a related field. Proficiency in modeling software such as DNDC or RothC, GIS tools, statistical programming languages like R or Python, and experience with large datasets are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualifications are crucial for accurately assessing soil carbon dynamics, informing climate change mitigation strategies, and supporting evidence-based land management decisions.

What are the typical daily responsibilities of someone working in Soil Carbon Modeling?

Professionals in Soil Carbon Modeling typically spend their days analyzing soil samples, developing and calibrating simulation models, and interpreting data to assess carbon sequestration in various ecosystems. They often collaborate closely with agronomists, climate scientists, and GIS specialists to collect field data and integrate results into broader climate models. Regular responsibilities may also include preparing reports, publishing research findings, and presenting to stakeholders or regulatory agencies. The role involves a mix of fieldwork, data analysis, and interdisciplinary teamwork, making adaptability and communication skills highly valuable.

What is the difference between Soil Carbon Modeling vs Soil Data Analyst?

AspectSoil Carbon ModelingSoil Data Analyst
CredentialsEnvironmental science, GIS, modeling certificationsData analysis, GIS, environmental science degrees
Work EnvironmentResearch labs, field sites, modeling softwareData centers, research institutions, fieldwork
Industry UsageClimate change, agriculture, environmental consultingSoil health, agriculture, environmental monitoring

While both roles involve working with soil data, Soil Carbon Modeling focuses on developing models to estimate soil carbon stocks and fluxes, often requiring advanced modeling skills. Soil Data Analysts primarily analyze soil data sets to inform decisions, emphasizing data management and statistical analysis. Both roles are vital in environmental and agricultural sectors but differ in their core responsibilities and skill sets.

More about Soil Carbon Modeling jobs
What cities are hiring for Soil Carbon Modeling jobs? Cities with the most Soil Carbon Modeling job openings:
What states have the most Soil Carbon Modeling jobs? States with the most job openings for Soil Carbon Modeling jobs include:
Postdoctoral Research Associate - Organic Hazelnut Systems & Agroforestry

Postdoctoral Research Associate - Organic Hazelnut Systems & Agroforestry

Rodale Institute

Kutztown, PA โ€ข On-site

Full-time

Re-posted 4 days ago


Job description

Rodale Institute invites applications for a Postdoctoral Research Associate to support and expand its Perennial Research Program, with a focus on advancing organic hazelnut (Corylus avellana) production and agroforestry systems in the Northeastern United States. The successful candidate will lead and coordinate applied field-based research evaluating the horticultural, environmental, and economic performance of established hazelnut alley-cropping systems and trials of newly released regionally adapted hazelnut cultivars.
Core research activities will include assessing alley-cropping strategies to improve orchard establishment and productivity by integrating multispectral aerial imaging and field measurements for multispecies stress monitoring. Responsibilities also includeย 
quantifying soil health outcomes carbon sequestration potential, evaluating cultivar performance, developing enterprise budgets, and translating research findings through outreach and extension to growers and stakeholders.
This position offers a unique opportunity to work at the intersection of horticultural science, soil science, agroforestry, and high-throughput phenotyping, contributing science-based solutions with direct relevance to farmers, policymakers, and industry partners across the region. This is a 2-year position contingent upon satisfactory performance and funding availability.ย 
Essential Duties & Responsibilities:
  • Conduct and coordinate applied research within existing field experiments focused on hazelnut orchard establishment, alley cropping systems, cultivar trials, soil health, and drone-based aerial phenotyping
  • Support the development of enterprise budgets and economic models for small- and mid-scale organic hazelnut production systems in Pennsylvania and the Northeastern United States
  • Integrate multispectral aerial imaging with ground-based measurements to model tree stress, weed biomass, and intercrop performance within hazelnut alley-cropping systems
  • Perform multivariate analyses of horticultural, soil, aerial imaging, and environmental datasets using R and Python
  • Collaborate closely with researchers and partners at universities, non-profit organizations, and grower networks, including expertise in plant breeding, weed science, soil health, and agroforestry
  • Contribute to grant reporting, project coordination, and proposal development to support the growth of the Perennial Research Program
  • Translate research outcomes into grower-facing materials, including fact sheets, presentations, and extension publications while supporting field days, workshops, webinars, and grower meetings
  • Publish research findings in peer-reviewed scientific journals and present results at academic and industry conferences
  • Supervise interns and work closely with Research Technicians and Farm Operations staff to coordinate research orchard maintenance and data collection
Required Qualifications:
  • Ph.D. in Horticulture, Agronomy, Soil Science, Environmental Science, Ecology, or a closely related field
  • Demonstrated experience designing and conducting high-quality, applied field research in agricultural or ecological systems
  • Strong quantitative skills and experience analyzing large, high-dimensional datasets
  • High proficiency in R statistical software, mixed linear modeling, and data visualization
  • Excellent written and verbal communication skills, with the ability to engage both scientific and grower audiences
  • An enthusiastic, cooperative, and flexible mindset, ready to take on new challenges with a positive attitude.

Preferred Experience:
  • Experience with drone-based data collection and/or processing of aerial imagery for agricultural or ecological applications
  • Experience using Python for data analysis, image processing, and modeling, including reproducible computational workflows and environment management
  • Experience with the development of enterprise budgets, farm economics, or life-cycle assessment (LCA) for agricultural or natural resource systems
  • Demonstrated record of research leadership, including mentoring, collaboration, or initiative-taking within interdisciplinary or peer research communities.

How to Apply
  • Please submit a single PDF containing:
    • Cover letter describing research interests and relevant experience
    • Curriculum vitae
    • Contact information for three professional references.
  • Applications will be reviewed on a rolling basis until the position is filled
  • This position reports to Dr. Richard Tegtmeier, Orchard Scientist

All qualified applicants will receive consideration for employment without regard to race, color, religious creed, ancestry, national origin, age, sex, sexual orientation, sexual identity or handicap.

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