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social sciences. The ideal candidate is preferred to have prior experience with data collection and collaboration in low-and-middle-income countries and good knowledge of R or other software for data
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and collaboration in low-and-middle-income countries and good knowledge of R or other software for data management, analysis and visualization. The position does not require teaching, but it may be
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. Experience in fieldwork, survey implementation, and experimental research design is important. Advanced methodological training is essential, and an important qualification includes proficiency in R, Stata
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methodological training is essential, and an important qualification includes proficiency in R, Stata, or Python. The ideal candidate will demonstrate overlapping interests with Peter van der Windt’s research
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. Ability to handle large volumes of data and familiarity with household surveys are required, alongside solid data analysis skills (R, Stata, Python, etc.) and familiarity with academic writing and
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data analysis skills (R, Stata, Python, etc.) and familiarity with academic writing and publishing. The position does not require teaching, but it may be possible to get teaching experience