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Full Time Soil Science Postdoctoral Jobs (NOW HIRING)

Stantec

Senior Wetland Scientist

Kansas City, MO · On-site

$89K - $122K/yr

... as a full-time, mid-to-senior level lead wetland scientist in the Overland Park (Kansas City ... Master's degree in environmental science, ecology, botany, soil science, or a related field.

Stantec

Senior Wetland Scientist

Overland Park, KS · On-site

$89K - $121K/yr

... as a full-time, mid-to-senior level lead wetland scientist in the Overland Park (Kansas City ... Bachelor's degree in environmental science, ecology, botany, soil science, or a related field. * 5 ...

Stantec

Senior Wetland Scientist

Wichita, KS · On-site

... as a full-time, mid-to-senior level lead wetland scientist in the Overland Park (Kansas City ... Master's degree in environmental science, ecology, botany, soil science, or a related field.

Stantec

Senior Wetland Scientist

Overland Park, KS · On-site

$86K - $117K/yr

... as a full-time, mid-to-senior level lead wetland scientist in the Overland Park (Kansas City ... Master's degree in environmental science, ecology, botany, soil science, or a related field.

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Full Time Soil Science Postdoctoral information

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$35.5K

$54.2K

$61K

How much do full time soil science postdoctoral jobs pay per year?

As of Jul 15, 2026, the average yearly pay for full time soil science postdoctoral in the United States is $54,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $56,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Soil Science Postdoctoral, and why are they important?

To thrive as a Full Time Soil Science Postdoctoral, you need a Ph.D. in soil science or a related field, with expertise in soil analysis, experimental design, and data interpretation. Familiarity with laboratory instrumentation, statistical software such as R or SAS, and GIS tools is typically required. Strong written and verbal communication, critical thinking, and collaboration skills help you excel in research environments and interdisciplinary teams. These competencies are essential to conduct high-quality research, publish findings, and contribute to advancements in soil science.

What is the difference between Full Time Soil Science Postdoctoral vs Full Time Soil Scientist?

AspectFull Time Soil Science PostdoctoralFull Time Soil Scientist
CredentialsPh.D. in Soil Science or related fieldBachelor's or Master's in Soil Science or related field, often with professional certification
Work EnvironmentResearch institutions, universities, labsGovernment agencies, environmental consulting firms, agricultural companies
Job FocusResearch, data analysis, publishingPractical application, fieldwork, project management
DurationTypically 1-3 years, postdoctoral positionFull-time, ongoing employment

In summary, a Full Time Soil Science Postdoctoral is primarily focused on research and academic development, often as a temporary position for recent Ph.D. graduates. In contrast, a Full Time Soil Scientist is a permanent role centered on applying soil science principles in practical settings, such as environmental management or agriculture.

What are some common challenges faced by postdoctoral researchers in soil science, and how can they be navigated successfully?

Postdoctoral researchers in soil science often encounter challenges such as balancing independent research with collaborative projects, managing time effectively between laboratory and fieldwork, and securing funding for ongoing studies. Navigating these challenges involves proactive communication with mentors and team members, staying organized with project timelines, and seeking professional development opportunities, such as grant writing workshops. Building a strong network within the academic and industry communities can also provide valuable support and open doors for future career advancement.

What is a Full Time Soil Science Postdoctoral position?

A Full Time Soil Science Postdoctoral position is a temporary research role for individuals who have recently earned a Ph.D. in soil science or a related field. Postdocs work on advanced research projects, often collaborating with faculty, industry, or government agencies to further scientific understanding of soil properties, functions, and management. These positions are designed to help researchers gain additional expertise and experience before moving on to permanent academic, industry, or government roles. Responsibilities typically include conducting experiments, publishing research findings, mentoring students, and contributing to grant writing.
More about Full Time Soil Science Postdoctoral jobs
What cities are hiring for Full Time Soil Science Postdoctoral jobs? Cities with the most Full Time Soil Science Postdoctoral job openings:
What are the most commonly searched types of Soil Science Postdoctoral jobs? The most popular types of Soil Science Postdoctoral jobs are:
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Full Time Soil Science Postdoctoral jobs near you
Infographic showing various Full Time Soil Science Postdoctoral job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $54,223 per year, or $26.1 per hour.
Postdoctoral Research Fellow

Postdoctoral Research Fellow

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Posted 2 days ago

New

University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

301st of 555 rated colleges and universities

Job description

Description
The University of Notre Dame invites applications for a Postdoctoral Research Fellow with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI). This fellow will join a dynamic, interdisciplinary team working at the intersection of data innovation and sustainability science, aligned with the values and principles of integral ecology.
The research fellow will contribute to a new research project that is creating a Pan-Amazon Evidence and Action Hub for socio-economic and ecological flourishing. The hub will systematically synthesize and harmonize remote sensing, survey, census, and citizen science data to support analyses of issues for action in partnership with local communities and Indigenous Peoples in the Amazon region. Fellows will integrate and harmonize fragmented data from diverse sources into a coherent, usable form to support novel analyses that advance key sustainability goals. The work of the Hub will generate findings to support the design and adoption of interventions that respond to changing needs of the region and its people around climate change, energy, mining, soil and water contamination, food production and livelihoods.
The postdoctoral fellow will join a cohort that functions as a central research skills hub, supporting and elevating the sustainability-related research efforts of faculty and students across Notre Dame. The fellows will help advance impactful, solution-oriented sustainability research that engages ecological, social, economic, and ethical dimensions in an integrated manner.
The postdoctoral fellow will assume the following key responsibilities:
  • Collaborate with faculty to design, implement, and support sustainability-related research projects requiring advanced data analytics.
  • Develop and maintain a centralized platform for the Pan-Amazon Evidence and Action Hub that hosts diverse and harmonized sustainability-related datasets, including environmental, socioeconomic, cultural, and geospatial data.
  • Design and implement reproducible pipelines that ingest, clean, and harmonize fragmented data from remote sensing, survey, census, administrative, and citizen science sources into coherent, analysis-ready datasets with documented lineage and quality metrics.
  • Build tools and interfaces (APIs, catalogs, dashboards, or reproducible workflows) that make Hub data discoverable and usable by faculty, students, and partner organizations with varying technical capacity.
  • Explore applications of AI methods, including large language models and natural language processing, for extracting structured information from unstructured sources(e.g. reports, policy documents, gray literature, or citizen science observations),
  • Apply advanced statistical, machine learning, and AI techniques to analyze complex datasets and uncover actionable insights.
  • Co-author and support high-impact, interdisciplinary research publications in leading sustainability and environmental science journals.
  • Engage in collaborative grant writing and proposal development to sustain and expand the cohort's research initiatives.

This search is conducted with leadership from Notre Dame's Just Transformations to Sustainability Initiative and Data, AI, and Computing Initiative, both significant investments from the Provost's Office. The Just Transformations to Sustainability Initiative is Notre Dame's University-wide effort to build a sustainable future where people and nature flourish together. The Data, AI, and Computing Initiative's core aim is to advance purposeful data, AI, and computing - excelling in foundational research while catalyzing interdisciplinary collaboration and real-world translation to address pressing societal challenges.
This is a full-time position available with an initial appointment of one-year, renewable for an additional year on the basis of satisfactory performance and availability of funding.
Qualifications
Required Qualifcations:
  • Ph.D. (in hand by the starting date) in Data Science, Computer Science, Statistics, Geography, Environmental Science, or a related field with a strong computational focus. Applicants with interdisciplinary degrees are welcome.
  • Strong data engineering skills in Python and/or R, preferably in building reusable data pipelines rather than one-off analysis scripts.
  • Demonstrated experience harmonizing heterogeneous data sources: reconciling inconsistent schemas, units, geographies, and vintages across datasets such as remote sensing products, surveys, censuses, and administrative records, and documenting those decisions in a reproducible way.
  • Expertise in geospatial data, including working across raster and vector formats, coordinate reference systems, and spatial aggregation or interpolation across mismatched administrative and ecological units.
  • An interest or experience in using machine learning or AI tools with environmental or socioeconomic data
  • Excellent communication skills and the ability to translate technical infrastructure decisions for collaborators from a wide range of disciplines.

Application Instructions
Interested candidates must submit a CV, cover letter, and a recent publication or dissertation chapter. Candidates should be prepared to share references upon request.

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