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Texas A&M University

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Postdoctoral Research Associate in Agricultural Economics and U.S. Food Policy Texas A&M University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

1-year position funded through grants or contracts; salary $63,000-$66,000 commensurate with experience.

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Country

United States

University

Texas A&M University

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Keywords

Computer Science
Agriculture
Causal Inference
Food Policy
Salud Pública
Economics
Statistics
Econometrics
ML

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About this position

This postdoctoral position at Texas A&M AgriLife Research sits in the Department of Agricultural Economics and is based in College Station, Texas. The appointment is centered on U.S. domestic food policy research and will be carried out under the general supervision of Dr. Pourya Valizadeh.

The project focuses on questions at the intersection of food policy, household purchasing behavior, and nutrition. The postdoc will help evaluate SNAP purchase restrictions and other food and nutrition assistance policies, and will also study how different food policies shape household purchases of ultra-processed foods. The work relies on large transaction-level food purchase data and combines econometric analysis with state-of-the-art machine learning and causal inference methods.

The role is strongly research oriented and includes cleaning and analyzing sensitive purchase data such as Circana and NielsenIQ records, working in restricted-data environments within Administrative Data Research Facilities, and contributing to scholarly outputs. The postdoc will write journal articles, present findings at conferences and meetings, and support grant reports and proposals as part of a collaborative research team.

Texas A&M AgriLife Research is part of the Texas A&M University System and connects agricultural and life-sciences research with extension and public service. The broader environment includes a large, multidisciplinary agriculture program with links across research, education, and applied problem solving.

Funding details

1-year position funded through grants or contracts; salary $63,000-$66,000 commensurate with experience.

What's required

Ph.D. in Agricultural Economics completed by the start date. If the doctoral degree has not yet been conferred at application time, a letter from the school's official Graduate Office, Registrar's Office, or PhD Committee Chair must certify that all degree requirements have been met and state the conferral date. Required skills include working knowledge of Stata, strong written and oral communication skills, and the ability to work well both in a team and independently. Preferred experience includes research on SNAP or other food and nutrition programs, program evaluation methods such as difference-in-differences and event studies, analysis of transaction-level or scanner purchase data such as Circana or NielsenIQ, work with restricted data in an ADRF or similar secure environment, strong Python programming skills, and experience applying machine learning methods.

How to apply

Submit an application through the Workday posting and include all job application data or a complete resume. Upload the required documents: CV or resume, cover letter, writing sample, list of references with contact information, and any relevant certifications or additional documentation. Incomplete applications may be rejected.

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