Job Title

Assistant Research Scientist

Agency

Texas A&M Agrilife Research

Department

Agricultural Economics

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

• Responsibilities

  The incumbent will work on various USDA and DOE projects with dimensions of Techno-economic analysis (TEA), lifecycle assessment (LCA), market penetration, and supply chain modeling, along with analysis in climate change adaptation and mitigation.

  The incumbent will help conceptualize, specify, and perform analyses using a combination of national and regional GAMS-based models of agricultural operations. The incumbent will also evaluate new biochemical technologies in terms of cost-benefit tradeoff, emission reduction and market potential, working with multidisciplinary teams in this endeavor.

  The work will involve cleaning big climate-related data and performing analyses using R and Python, building models using GAMS programming procedures and Aspen software.

The incumbent will also assist the PI in working on potential proposals, reports and other deliverables.

• Required Education

  Ph.D. in Agricultural Economics or allied field (including the person who can get the degree in May 2025)

• Preferred Education

  Training/dissertation experience in agricultural economics, TEA/LCA, Mathematical Programming, GAMS, Resource Economics, and Climate Change Economics.

• Preferred Experience

Experience with working on big data analysis and climate change economics

Experience working on sponsored projects and in writing reports, model documentation and journal article drafts.

Experience working with multidisciplinary teams.

• Required Knowledge Skills and Abilities

Good communication and computer skills. Ability to multi-task and work cooperatively with others.

Excellent skill in Python and R computer languages with application in data cleaning.

• Preferred Knowledge Skills and Abilities

  Knowledge of GAMS-based national agricultural sector and supply chain mathematical programming modeling.

  Knowledge of TEA, LCA analysis and Aspen software.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Affirmative Action/Veterans/Disability Employer.