Professor Elliott Ash, JD/PhD, seeks a motivated research assistant to join the newly formed interdisciplinary research group at the Center of Law, Economics and Data Science, ETH Zürich. Our research group uses computational methods to represent legal text as data and analyze statistical relationships between laws and the economy.
Research assistants will be involved with all stages of this research process, providing an opportunity for intensive research training in a cutting-edge area at the intersection of economics, natural language processing, and machine learning. Prior research group members have matriculated at Ph.D. programs at MIT Economics, Harvard Economics, and Harvard Business School.
The ideal candidate has training and long-term interests in economics and data science. Applicants must have strong programming and quantitative skills. Excellent grades are required, including econometrics or statistics as well as microeconomic theory. Previous experience is required with empirical research assistance or comparable private-sector work, with preference given to these and related skill sets: coding and software development (especially Python), advanced econometrics, working with large datasets, natural language processing, machine learning, writing research papers. Salaries at ETH are competitive with international standards, and based on the qualification and postgraduate training of the candidate. The position is for a period of one to three years, conditional on performance.