Post Doctoral Research Scholar - Modeling Soil Carbon and GHG Emissions from Vegetable Systems
Join to apply for the Post Doctoral Research Scholar - Modeling Soil Carbon and GHG Emissions from Vegetable Systems role at North Carolina State University
Post Doctoral Research Scholar - Modeling Soil Carbon and GHG Emissions from Vegetable Systems
Join to apply for the Post Doctoral Research Scholar - Modeling Soil Carbon and GHG Emissions from Vegetable Systems role at North Carolina State University
Posting Details
Position Information
Posting Number PG191444PD
Position Number 00111352
Position Type Post Doc
FLSA Exempt
Departmental Information
Department ID 110801 - Plant & Microbial Biology
Department 110801 - Plant & Microbial Biology
Job City & State Raleigh, NC
Position Information
Position Overview
Essential Job Duties
The Department of Plant and Microbial Biology supports teaching, research, and extension programs in fundamental plant biology and microbiology. The department focuses on both basic and applied research, teaching undergraduate and graduate courses, mentoring students, and conducting outreach at state and national levels.
We are seeking a highly motivated Postdoctoral Researcher to model soil carbon dynamics and greenhouse gas ( GHG ) emissions from vegetable farms in the Southern Piedmont region. The researcher will use process-based models such as DayCent and tools like COMET -Farm to assess the impact of various agricultural management practices on soil sustainability and climate mitigation.
The position involves integrating empirical field data—including soil health indicators, eddy covariance tower measurements, soil chambers, weather station data, and multispectral remote sensing data—with process-based models. Historical data from organic and conventional vegetable growers will also be utilized.
This postdoctoral position is part of a larger initiative focused on enhancing conservation practices through predictive modeling and field-based validation. The researcher will meet regularly with Dr. Debjani Sihi for guidance on grant writing, manuscript preparation, and mentoring.
Key Responsibilities
- Apply and refine the DayCent model to simulate soil carbon sequestration and GHG emissions under various vegetable farming systems in the Southern Piedmont.
- Utilize tools such as COMET -Farm to estimate carbon footprints and evaluate mitigation strategies.
- Integrate field data on soil carbon, soil health, and GHG emissions to improve model accuracy.
- Conduct multi-site synthesis and spatial modeling to assess regional trends in soil health and climate-smart practices.
- Collaborate with an interdisciplinary team of soil scientists, agronomists, economists, and social scientists to develop actionable insights.
- Publish research findings in peer-reviewed journals and present results at conferences and field days.
Initial appointment of one year, with a potential extension of up to four years based on performance and funding availability
You Belong Here! At NC State, our goal is for all employees to reach their fullest potential at work. As you consider this opportunity, we encourage you to review our Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone.
Other Work/Responsibilities
Requirements and Preferences
Work Schedule Monday - Friday, 8 am - 5 pm
Department Required Skills
- Ph.D. in Soil Science, Agronomy, Environmental Science, Ecosystem Science, Ecology, or a related field.
- Strong background in biogeochemical modeling, soil carbon dynamics, or GHG flux estimation.
- Experience using DayCent or similar soil carbon and GHG modeling tools.
- Proficiency in programming and data analysis (e.g., Python, R, C++, GIS applications).
- Experience with big data analytics and high-performance/cloud computing.
- Familiarity with sustainable agriculture, soil health indicators, and climate-smart farming practices.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a research setting.
Preferred Years Experience, Skills, Training, Education
- Experience with high-performance computing, parallel computing, and APIs.
- Strong track record in biogeochemical and agronomic (or crop) modeling.
- Experience working with big data collected across multiple temporal (sub-daily to annual) and spatial (farm to region) scales from field experiments.
- Knowledge of soil health indicators, eddy covariance measurements, and soil sensors.
- Experience with remote sensing, IoT technologies, and spatial modeling techniques/ GIS methods.
- Demonstrated record of publishing in peer-reviewed journals.
Required License Or Certification
n/a
Valid NC Driver's License required? No
Commercial Driver's License Required? No
Recruitment
Recruitment Details
Anticipated Hiring Range commensurate with experience (up to $60,000)
If you anticipate multiple hires from this search, please indicate how many
Recruitment Dates
Job Open Date 03/04/2025
Applicant Information
Quick Link https://jobs.ncsu.edu/postings/215746
EEO
NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-515-3148 to speak with a representative at the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or
workatncstate@ncsu.edu .
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
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