Post-Doc -- Economics and Data Science
Title: Post-Doc -- Economics and Data Science
- Employer: ETH Zurich (Center for Law & Economics)
- Location: Switzerland
- Position Type: Post-Doc
- Deadline: Apr 20, 2018
- Job Description:
The Center for Law & Economics seeks applications for two open post-doc positions at the newly established interdisciplinary research group in Law, Economics, and Data Science. The group conducts empirical research on legal and political institutions using tools at the intersection of economics and data science. We are looking for postdoc applicants holding a PhD in empirical social science (e.g. economics, political science) or data science (e.g. computer science, machine learning, computational linguistics), with research interests in this area.
The research focus is on representing legal and political language as statistical data using tools from natural language processing, and then recovering causal relations between language and outcomes in society and the economy. The postdocs will be involved in all aspects of the research, including project planning, research design, data analysis, presentation of findings at conferences, and preparation of manuscripts for submission to leading peer-reviewed journals. Postdocs will have the opportunity to co-author papers with lab colleagues, work with an array of affiliated faculty from ETH and University of Zurich, and develop independent projects related to these research areas. Organizational and teaching duties are limited to a few hours per week. Our offices are located in downtown Zurich, and the working language is English.
The appointment will be for at least one year and up to three years (contingent on satisfactory performance), with flexible starting date beginning July 2018. Salaries are internationally competitive, paid according to ETH standards.
The ideal candidate will have, at the time of appointment, completed a PhD in empirical social science (e.g. economics, political science), data science (e.g. computer science, machine learning, computational linguistics), or related fields. Social science applicants should have graduate-level expertise in causal inference research design, data management, and data analysis. Data science applicants should have graduate-level expertise in natural language processing and machine learning. Excellent English writing skills are essential.
For further information about the position, please contact Prof. Elliott Ash by email at email@example.com.
We look forward to receiving your online application, including a cover letter, CV, graduate school transcripts, a writing sample, and at least two letters of recommendation. Applicants should be prepared to complete a research design, data analysis, and/or machine prediction exercise (as appropriate to expertise) as part of the interview process. Application review will begin on February 1, 2018 and continue until the positions are filled.