Your tasks would include
- Conducting (quasi-)experimental impact evaluation studies in developing countries
- Research in applied econometrics, statistics, or survey methodology
- Teaching in applied econometrics, statistics, or survey methodology
- Preparing grants and grant applications, proposal writing
The ideal candidate has a PhD, or will soon defend his PhD in economics, econometrics, empirical social sciences, data science, statistics, or survey methodology. Profound quantitative skills (econometrics, statistics, survey design) are required, as well as comprehensive reporting skills (quantitative analysis of data sets and report writing). Prior field experience as well as willingness to supervise large-scale household surveys in Africa, Asia and Latin America are essential. Skills in large-data analysis, qualitative analyses and good organizational abilities are acknowledged. A good command of STATA or R is required, knowledge of Python would be an asset. You will work within a supportive team of experienced researchers.
The position offers a good opportunity to deepen your expertise in applied econometrics, impact evaluations and survey methodology.
Applicants may wish to include a CV and a brief outline of their motivation, and a copy of a recent and relevant paper or report. You may send your application to Professor Dr Markus Frölich at [email protected]. Applications are evaluated on a rolling basis.