Ph. D. Position (100%) in Microeconometrics, Machine Learning, and Policy Evaluation, University of Fribourg

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Phd candidate

 

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 personaldienst@unifr.ch. 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 (andrea.sommer-gauch@unifr.ch) until December 10, 2021. For an overview of the research and teaching activities of the chair, please consult http://www3.unifr.ch/appecon/en/.

More Information

Posted on

Application Deadline

Type

Phd candidate

Bd%20de%20P%C3%A9rolles%2090%2C%20Fribourg%2C%20Switzerland

Bd de PΓ©rolles 90

1700 Fribourg , Switzerland