Pre-Doctoral Fellowship in Urban Economics
- Design, write, and fine-tune code in the R programming language for data cleaning and data analysis;
- Create data analysis results, including regression results, and spatial analysis, including visualizations and maps;
- Run power calculations for randomized controlled trials;
- Assist in reviewing, synthesizing, and writing reviews of existing literature on informal transport in the global south;
- Assist in the preparation of academic journal submissions and code and data for publication;
- Proficiency in the R programming language, including for geospatial data (simple features using the sf package).
- Proficiency with Git and GitHub for project version-control.
- Strong interest or background in transportation planning, transportation engineering, urban planning, development economics, informal economies, or related topics.
- Curiosity and eagerness to learn.
- Strong academic writing skills.
- Undergraduate degree in civil engineering, geography, urban planning, urban studies, computer science, data science, economics, urban studies, statistics, or a related field.
- If you are unsure whether you meet all of the above requirements, but you think you might meet most of them, and you are interested in the position, please apply.
- Ability to work in-person in Cambridge, Massachusetts at least two days per week.
- Familiarity with or direct lived experience in Sub Saharan African cities.
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