We are looking for a candidate with a strong interest in statistics, microeconometrics, and machine learning for causal analysis/policy evaluation. In addition to conducting methodological and empirical research projects (e.g. in labor, health, and/or educational economics) which will be part of the dissertation, teaching (e.g. PC labs) and administrative tasks (e.g. application for research grants) will be part of this full-time (100%) position. The salary will be based on the scale for Ph.D. candidates of the University of Fribourg. For more information, please contact firstname.lastname@example.org. Starting date is February 1, 2022.
Applicants should hold a degree in statistics, economics, or related fields with a specialization in machine learning, microeconometrics, causal inference, or related quantitative methods and should also have well developed mathematical skills. Fluency in both German and English (the chair's teaching languages) is a must; a good command of French is an asset. Please send an e-mail with a single PDF file containing the CV, educational records, and a brief statement of research interests/motivation to Andrea Sommer (email@example.com) until December 10, 2021. For an overview of the research and teaching activities of the chair, please consult http://www3.unifr.ch/appecon/en/.