What are the responsibilities and job description for the Postdoctoral Research Scientist position at Montana State University - Office of Student Engagement?
Position Details
Position Information
Announcement Number STAFF - VA - 27112 For questions regarding this position, please contact:
Dr. Sophie von Fromm
sophie.vonfromm@montana.edu
406-994-4605
Classification Title Postdoctoral Researcher Working Title Postdoctoral Research Scientist Brief Position Overview
We are seeking a postdoctoral researcher to join a newly funded DOE project, developing AI-driven “Soil Functional Type” (SFT) framework, which is a new way of classifying global soils by their biogeochemical function (mineralogy, depth profile, organic matter stabilization) rather than traditional taxonomy. The project is a partnership between MSU, Pacific Northwest National Laboratory (PNNL), and Lawrence Livermore National Laboratory (LLNL), and directly feeds into next-generation Earth System Model development (DOE’s E3SM/ELM). The postdoctoral researcher will lead key project objectives, including database harmonization, SFT mapping and validation, and ELM model–data benchmarking, in close collaboration with the PI and national laboratory partners.
Position Number 4C7717 Department Land Resources & Environ Sci Division College of Agriculture/MAES Appointment Type Research Professional Contract Term Fiscal Year Semester If other, specify From date If other, specify End date FLSA Exempt Union Affiliation Exempt from Collective Bargaining FTE 1.0 Benefits Eligible Eligible Salary $65,000 annually, commensurate with experience, education, and qualifications. Contract Type LOA If other, please specify Recruitment Type Open
Position Details
General Statement
The Department of Land Resources and Environmental Sciences (LRES) at Montana State University conducts research and teaching across soil science, ecology, hydrology, and natural resource management. This position supports a newly funded DOE Established Program to Stimulate Competitive Research (EPSCoR) project led by PI Dr. Sophie von Fromm, in partnership with Pacific Northwest National Laboratory and Lawrence Livermore National Laboratory.
Duties and Responsibilities
Physical Demands
Most work is computer-based. Field campaign support may require traversing uneven outdoor terrain, digging and soil sampling, and transporting up to 40 lbs, with exposure to variable weather conditions.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required.
This position has supervisory duties? No
Posting Detail Information
Number of Vacancies 1 Desired Start Date Position End Date (if temporary) Open Date Close Date Applications will be:
Screening of applications will begin on October 7, 2026; however, applications will continue to be accepted until an adequate applicant pool has been established.
Special Instructions
This position is not eligible for new sponsorship.
To Be Considered, Please Submit
Montana State University is an equal opportunity employer. MSU does not discriminate against any applicant on the basis of race, color, religion, creed, political ideas, sex, sexual orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, or any other protected class status in violation of any applicable law.
In compliance with the Montana Veteran’s Employment Preference Act, MSU provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran’s preference, please complete the veteran’s preference information located in the Demographics section of your profile.
Applicant Documents
Required Documents
Supplemental Questions
Required fields are indicated with an asterisk (*).
Position Information
Announcement Number STAFF - VA - 27112 For questions regarding this position, please contact:
Dr. Sophie von Fromm
sophie.vonfromm@montana.edu
406-994-4605
Classification Title Postdoctoral Researcher Working Title Postdoctoral Research Scientist Brief Position Overview
We are seeking a postdoctoral researcher to join a newly funded DOE project, developing AI-driven “Soil Functional Type” (SFT) framework, which is a new way of classifying global soils by their biogeochemical function (mineralogy, depth profile, organic matter stabilization) rather than traditional taxonomy. The project is a partnership between MSU, Pacific Northwest National Laboratory (PNNL), and Lawrence Livermore National Laboratory (LLNL), and directly feeds into next-generation Earth System Model development (DOE’s E3SM/ELM). The postdoctoral researcher will lead key project objectives, including database harmonization, SFT mapping and validation, and ELM model–data benchmarking, in close collaboration with the PI and national laboratory partners.
Position Number 4C7717 Department Land Resources & Environ Sci Division College of Agriculture/MAES Appointment Type Research Professional Contract Term Fiscal Year Semester If other, specify From date If other, specify End date FLSA Exempt Union Affiliation Exempt from Collective Bargaining FTE 1.0 Benefits Eligible Eligible Salary $65,000 annually, commensurate with experience, education, and qualifications. Contract Type LOA If other, please specify Recruitment Type Open
Position Details
General Statement
The Department of Land Resources and Environmental Sciences (LRES) at Montana State University conducts research and teaching across soil science, ecology, hydrology, and natural resource management. This position supports a newly funded DOE Established Program to Stimulate Competitive Research (EPSCoR) project led by PI Dr. Sophie von Fromm, in partnership with Pacific Northwest National Laboratory and Lawrence Livermore National Laboratory.
Duties and Responsibilities
- Soil Functional Type (SFT) Framework Development
- Compile and harmonize global observational soil databases in support of SFT framework development.
- Apply (unsupervised) machine learning methods to develop depth-explicit SFTs.
- Biogeochemical Representativeness Analysis & SFT Mapping
- Evaluate whether existing global soil databases adequately sample the biogeochemical. process space relevant to soil organic matter (SOM) dynamics.
- Produce global SFT maps and identify priority data/sampling gaps.
- Field Campaign Support
- Provide analytical and logistical support for a Montana field sampling campaign.
- Integrate field-collected data (reactive mineralogy, radiocarbon, SOM fractionation) into SFT validation.
- ELM Benchmarking & PNNL Collaboration
- Lead benchmarking activities in close collaboration with Dr. Avni Malhotra (PNNL).
- Diagnose where current Earth System Model structures fail to represent mineral–organic matter controls on carbon persistence.
- Complete an extended research residency at PNNL; contribute to development of an EMSL user proposal for molecular-scale characterization.
- PhD in soil science, biogeochemistry, environmental data science, Earth system modeling, or a related field.
- Demonstrated experience applying statistical or machine learning methods to environmental or geospatial datasets.
- Proficiency in a scientific programming language (R or Python).
- Experience working with large environmental or soil datasets.
- Demonstrated experience with written and oral scientific communication.
- Experience with unsupervised machine learning methods.
- Experience with Earth System Models (e.g., E3SM/ELM) or land surface/biogeochemical modeling.
- Background in soil biogeochemistry, mineralogy, or soil organic matter dynamics.
- Prior experience collaborating with national laboratories or large multi-institutional research teams.
- Peer-reviewed publication record.
- Ability to work independently and manage multiple concurrent project objectives.
- Strong collaborator across disciplines, institutions, and remote research teams.
- Strong communication skills.
- Detail-oriented and highly organized, with strong data management practices.
- Adaptable to both computational/lab-based work and field-based research settings.
- Position is contingent upon continued DOE EPSCoR grant funding.
- Requires an extended research residency at Pacific Northwest National Laboratory (Richland, WA).
- Occasional travel to Lawrence Livermore National Laboratory and Montana field sites required.
- Occasional travel to national scientific conferences (e.g., AGU) required.
Physical Demands
Most work is computer-based. Field campaign support may require traversing uneven outdoor terrain, digging and soil sampling, and transporting up to 40 lbs, with exposure to variable weather conditions.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required.
This position has supervisory duties? No
Posting Detail Information
Number of Vacancies 1 Desired Start Date Position End Date (if temporary) Open Date Close Date Applications will be:
Screening of applications will begin on October 7, 2026; however, applications will continue to be accepted until an adequate applicant pool has been established.
Special Instructions
This position is not eligible for new sponsorship.
To Be Considered, Please Submit
- Curriculum Vitae (max 2 pages)
- Statement of interest/Research statement (1 page)
- A list of up to 5 selected publications, including a one-sentence explanation why these were selected (1 page max)
Montana State University is an equal opportunity employer. MSU does not discriminate against any applicant on the basis of race, color, religion, creed, political ideas, sex, sexual orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, or any other protected class status in violation of any applicable law.
In compliance with the Montana Veteran’s Employment Preference Act, MSU provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran’s preference, please complete the veteran’s preference information located in the Demographics section of your profile.
Applicant Documents
Required Documents
- Curriculum Vitae
- Other - Please see Special Instructions
- Research Statement
Supplemental Questions
Required fields are indicated with an asterisk (*).
Salary : $65,000