Researcher 2 - Soil Scientist (Dynamic Soil Properties)

University of Minnesota-Twin Cities

Twin Cities, MN

Job posting number: #7317756

Posted: October 9, 2025

Application Deadline: Open Until Filled

Job Description

Position Summary: Performs structured research-related work assignments requiring knowledge and experience in relevant discipline; still acquiring knowledge and skills. Independently solves a range of straightforward problems and analyzes solutions using standard procedures. Receives some guidance and direction. Oversees the use of laboratory equipment, training personnel/volunteers, and maintaining equipment as necessary. Works as a member of a research team.

Job Duties:
(40%) Field Research and Data Collection (40%)

Lead field sampling campaigns at Bonanza Creek Experimental Forest across burned and unburned watersheds.
Conduct standardized soil pedon descriptions and sampling using USDA methods in collaboration with NRCS field staff.
Establish and monitor transects across moisture and slope gradients. Develop and test field protocols for Alaska-specific Dynamic Soil Properties measurements.
Install and maintain environmental monitoring equipment including soil moisture sensors, temperature probes, and dataloggers.
Collect samples for laboratory analysis and maintain proper chain of custody procedures.
Document field conditions, sampling protocols, and maintain detailed field notes
(30%) Laboratory Analysis and Method Development

Conduct freeze-thaw incubation studies to investigate redoximorphic feature formation.
Perform soil chemical characterization including pH, EC, and iron extraction analyses.
Conduct physical characterization including laser particle size analysis.
Develop standardized methods for describing cryostructures, excess ice content, and redoximorphic features in permafrost-affected soils.
Maintain laboratory equipment and ensure quality assurance/quality control protocols.
Process and prepare samples for external analyses as needed.
(20%) Data Management and Analysis

Design and implement data management protocols for field and laboratory datasets.
Perform statistical analysis and spatial modeling using R and/or Python. Develop machine learning models for digital soil mapping applications.
Create and maintain relational databases. Ensure data quality, documentation, and metadata standards. Integrate datasets with existing USFS and NRCS databases and mapping products.
(10%) Communication and Collaboration

Prepare technical reports, research summaries, and progress updates for project partners.
Lead preparation of peer-reviewed manuscripts for publication.
Present research findings at professional conferences and meetings.
Collaborate with USDA Forest Service researchers, NRCS staff, and other project partners.
Contribute to development of Ecological Site Descriptions and State and Transition Models. Assist with educational outreach activities including potential field course instruction.
Special Considerations

Extensive fieldwork at sites near Fairbanks, Alaska required during the shoulder and growing seasons (April-October). Work in challenging environmental conditions including variable weather and difficult terrain – requires the ability to hike over uneven terrain while carrying equipment. Some additional travel required for conferences and collaboration meetings. Field safety training including Wilderness First Responder and bear safety will be provided. Background check may be required for access to federal research sites. Valid driver's license (any state) required.

Qualifications
Required Qualifications:

Minimum BS/BA in soil science, environmental science, or a related field and 2 years of related experience or equivalent combination of education and work experience to equal six (6) years; field course or experience in soil morphology/soil description.
On-site field work in Fairbanks, Alaska, from April to October.
Preferred Qualifications:

Cover letter strongly preferred when applying.
Demonstrated ability to work independently in remote field conditions. Experience with Alaska-specific soil conditions and permafrost environments.
Knowledge of dynamic soil properties (DSPs) measurement and characterization techniques.
Working knowledge of high-performance computing (HPC) systems, particularly Minnesota Supercomputing Institute resources.
Experience with soil chemical analyses including pH, EC, iron extractions, and redox measurements.
Laboratory experience with particle size analysis, sample preparation, and freeze-thaw incubation studies. Field experience in permafrost environments and use of specialized sampling equipment (SIPRE auger/jackhammer).
Expertise in cryostructure identification and redoximorphic feature characterization. Experience with data management, quality assurance/quality control protocols.
Proficiency in R and/or Python for spatial data analysis and machine learning applications.
Experience with geospatial analysis, remote sensing data, and GIS applications.
Knowledge of relational database construction and metadata curation.
Experience recovering and digitizing legacy soil survey data.
Record of contributions to government reports or peer-reviewed journal articles related to permafrost, soil science, or related fields.




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Job posting number:#7317756
Application Deadline:Open Until Filled
Employer Location:Online Job Advertising
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United States
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