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Soil Carbon Modeling Jobs (NOW HIRING)

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... This innovative solution reduces environmental impact, promotes soil health, and helps farmers ...

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... This innovative solution reduces environmental impact, promotes soil health, and helps farmers ...

Post Doctoral

Las Cruces, NM · On-site

$48K - $65K/yr

... models, such as HEC-HMS and SWAT. Deliverables: New CLM parametrization with improved water and carbon fluxes for NM Top 500 forested watersheds, including soil moisture, streamflow, sediment load ...

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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:

Founding Full Stack Developer (Remote)

Recruitzsy

Humble, TX • Remote

Full-time

Re-posted 4 days ago


Job description

Our San Francisco client is on a mission to combat climate change, improve food security, and alleviate poverty by building a global measurement, reporting, and verification (MRV) platform for high-integrity carbon removal and storage. With groundbreaking technological innovation using ground truth sampling, remote sensing, and AI modeling, they are accurately and scalably measuring soil carbon to incentivize the adoption of sustainable practices. As a public-benefit corporation, they are backed by world-class investors such as Floodgate, John Doerr, Kleiner Perkins, Sheryl Sandberg, Ponderosa Ventures, 776 Foundation (Alexis Ohanian), George Roberts, and Stanford's TomKat Center for Sustainable Energy. Our client is seeking a proactive and collaborative self-starter with at least 5 years of experience building and owning a complete end-to-end technology stack to join their interdisciplinary team.


Qualifications:

The successful candidate will have a track record of shipping and going through the full product development cycle, setting up the technology stack and development infrastructure, and developing infrastructure/pipelines to support Machine Learning/Remote Sensing workflows. While experience in climate/agriculture is a plus, a passion for climate is a must! Multidisciplinary teamwork, as well as understanding how to support Machine Learning and Remote Sensing workflows, is also highly valued. If you care deeply about climate change and feel a strong moral responsibility to act now, apply today!


Requirements:


  • 5-10 years of relevant professional experience after college
  • Experience shipping and building products from 0 to 1
  • Worked as an early employee in a technical role at a startup and has some leadership experience managing technical teams
  • Experience as an early employee at top-tier startups and open-source work
  • Passion for climate change and strong moral responsibility to act
  • Multidisciplinary team work experience, preferably in software and healthcare
  • Understanding of how to support machine learning and remote sensing workflows


Qualifications:

  • 5+ years of experience building and owning a complete end-to-end technology stack (Frontend + Backend + Cloud + CI/CD)
  • A track record of shipping and going through the full product development cycle right from writing the first line of code to product in the hands of users and iterating quickly on feedback
  • Experience with setting up the technology stack and development infrastructure from Day 1 and scaling it with growth
  • Ability to develop infrastructure/pipelines to support Machine Learning / Remote Sensing workflows
  • Proactive and collaborative self-starter with a strong ability to attract other top technical talent and lead them effectively
  • Past experience working in climate/agriculture is not a requirement, but a passion for climate is a plus!
  • Past multidisciplinary teamwork (i.e. e.g. working on software in healthcare) is a huge plus, as you will be working with an interdisciplinary team with expertise in AI, Remote Sensing, Carbon Markets, Soil Carbon Modeling, Sustainable Finance
  • Machine Learning and Remote Sensing experience is not required, but understanding how to support these workflows (e.g. setting up data pipelines, setting up infrastructure to parallelize model runs, automating the deployment of models to integrate with the core MRV product) is a huge bonus!
  • You care deeply about climate change and feel a strong moral responsibility to act now. This extends into all facets of your life: both personal and professional. No action is too small and no goal is too big. Whether you have turned vegan or swear by public transport, we are big believers in embracing sustainability as a mindset and would love to learn what this means for you!
Employment Type: FULL_TIME