Careers at Virginia Tech

Postdoctoral Research Associate

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Work type: Research Faculty
Senior management: Agriculture & Life Sciences
Department: Virginia Seafood AREC
Location: Hampton, Virginia
Categories: Agriculture / Life Science, Research / Scientific

Job Description

The Postdoctoral Research Associate will serve as a member of the Seafood Economic Analysis and Marketing Research (SEAMaR) team at the Virginia Seafood AREC (VSAREC). The Postdoctoral Research Associate will assist in the development and compilation of datasets focused on the U.S. seafood sector (fisheries and aquaculture). The position will work with other members of the SEAMaR team and a national network of collaborators to develop new tools and analysis for U.S. aquaculture. Quantitative analysis will include key sectors of U.S. aquaculture (catfish, trout, oysters), in addition to emerging sectors, such as marine finfish. The Research Associate will also assist with project management and reporting on project activities. The position is expected to assist in the preparation of deliverables (presentations, reports, peer review manuscripts), participate in outreach activities, and the dissemination of deliverables to stakeholders. This is a one-year funded position, with extension contingent upon additional grant funding. Virginia Tech is unable to sponsor applicants for work visas for this vacancy.

Required Qualifications

• Doctoral degree in agricultural or applied economics or related field, awarded no more than four years prior to the effective date of appointment with a minimum of one year of eligibility remaining.
• Demonstrated experience with generating data (surveys, web scraping, etc.).
• Demonstrated experience with econometric analysis of data.
• Demonstrated experience with enterprise budgets and financial statements.

Preferred Qualifications

• Demonstrated knowledge and research experience in fisheries or aquaculture.
• Demonstrated knowledge or experience of seafood supply chains.
• Demonstrated knowledge or experience of analytical methods such as technical efficiency analysis, risk modelling, economic impact analysis.
• Demonstrated knowledge or experience working with retail level scanner datasets and/or household consumption datasets.
• Experience using analytical software packages (Stata, R, SAS, nGene, SPSS, or similar).

Appointment Type


Salary Information

$53,550 - $65,029 commensurate with experience.

Review Date

June 24, 2024

Additional Information


The successful candidate will be required to have a criminal conviction check.


About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Jonathan van Senten at during regular business hours at least 10 business days prior to the event.

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