About this opportunity
Montana State University lists this Postdoctoral Research Scientist opportunity in bozeman, Montana. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Please see Special Instructions for more details.
This position is not eligible for new sponsorship.
Position Information
Announcement Number
STAFF - VA - 27112
Position Number
4C7717
Department
Land Resources & Environ Sci
Division
College of Agriculture/MAES
Appointment Type
Research Professional
Contract Term
Fiscal Year
FLSA
Exempt
Union Affiliation
Exempt from Collective Bargaining
FTE
1.0
Salary
$65,000 annually, commensurate with experience, education, and qualifications.
Contract Type
LOA
Recruitment Type
Open
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.
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.
Required Qualifications – Experience, Education, Knowledge & Skills
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.
Preferred Qualifications – Experience, Education, Knowledge & Skills
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.
The Successful Candidate Will
Ability to work independently and manage multiple concurrent project objectives.
Strong collaborator across disciplines, institutions, and remote research teams.
Detail-oriented and highly organized, with strong data management practices.
Adaptable to both computational/lab-based work and field-based research settings.
Position Special Requirements/Additional Information
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
Number of Vacancies
1
Special Instructions
This position is not eligible for new sponsorship.
EEO Statement
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.
Supplemental Questions
Required fields are indicated with an asterisk (*).
#J-18808-Ljbffr
Worksite address
bozeman, MT, 59772, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.