Postdoctoral Position in Agriculture and Nutrition

Job Summary

The postdoctoral scholar will receive and be afforded career development opportunities to ensure successful transition to the next phase of his/her career.

This position will be based in Boston at the Friedman School and may require a small portion of travel to conferences. The responsibilities will be to work with complex data sets from multiple research projects supported by USAID. The position will be required to focus on extending and expanding innovative work through data analysis, reviews, new investigations, and existing metrics, creating and presenting presentations, working with manuscripts, and leading analyses. This position is anticipated to be funded for 2 years and the initial appointment is for 1 year with an annual renewal conditional on performance and funding availability. 

About the Nutrition Innovation Lab

The goal of the Nutrition Innovation Lab research is to provide support in Asia and Africa devoted to implementing effective interventions that integrate agriculture and nutrition activities to achieve a significant reduction in stunting among children less than 24 months of age and under nutrition in mothers. Our specific goals include:

  • To generate:
    • Emperical evidence of what works at scale (through applied research), and
    • To support enhanced institutional and human capacity in Nepal and Uganda to conduct research and implement effective nutrition activities at scale in future years

Minimum Required Experience, Education, Background, and Certifications/Licenses

Applicants must have a PhD/DrPH/ScD in nutrition, agriculture and economics; original, first-author publications in these areas. Excellent written and oral communication skill; strong qualitative/analytical skills working with large and complex data sets from household surveys; demonstrated skills with econometric analysis using R and SPSS, STATA; and the ability to work well independently and as part of a team.

Preferred Experience

In addition, formal training is preferred in nutrition and agriculture related to remote sensing and modeling.

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