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Student Research Assistant: Python & Data Science
We are looking for a student assistant with Python skills and an interest in Data Science to populate, manage and mine two exciting new research databases. The position is with the Center for Law and Economics at ETH Zurich, in collaboration with the ETH scientific IT services.
Keywords: Python, Data Science, Big Data, Jupyter, pandas, econometrics
**We are looking for** a student assistant with Python skills and an interest in Data Science to develop, manage and query two novel research databases:
**1) Online poker and decision making.** You will help us leverage data from a partner online poker company to understand the biases that affect people when making decisions under uncertainty.
**2) Leadership in open source software teams.** You will help us leverage data from Github to identify the relational and technical skills necessary to become a successful team leader in a virtual work environment.
**Within our team**, you will have the opportunity to work in close connection with ETH Scientific IT services (a highly diverse group of data science experts, see https://sis.id.ethz.ch). You will develop your Python and Data Science skills using state of the art technology (Jupyter Notebook, pandas). Tasks include data collection for the leadership project, database management, and querying to prepare the tables for statistical / econometric analysis.
**You should have** strong Python programming skills and a confirmed interest in Data Science. Ideally, you are a student in computer science, economics or a related discipline. Some background in statistics and/or an interest in learning econometrics to contribute to the actual statistical analysis (using, e.g., Stata or R) would be a plus, but is not formally required. You must be a registered student at a university in Zurich or nearby, and should be able to dedicate 10 to 15 hours per week to the above projects during the semester (potentially more outside of the semester, per agreement).
**We are looking for** a student assistant with Python skills and an interest in Data Science to develop, manage and query two novel research databases:
**1) Online poker and decision making.** You will help us leverage data from a partner online poker company to understand the biases that affect people when making decisions under uncertainty.
**2) Leadership in open source software teams.** You will help us leverage data from Github to identify the relational and technical skills necessary to become a successful team leader in a virtual work environment.
**Within our team**, you will have the opportunity to work in close connection with ETH Scientific IT services (a highly diverse group of data science experts, see https://sis.id.ethz.ch). You will develop your Python and Data Science skills using state of the art technology (Jupyter Notebook, pandas). Tasks include data collection for the leadership project, database management, and querying to prepare the tables for statistical / econometric analysis.
**You should have** strong Python programming skills and a confirmed interest in Data Science. Ideally, you are a student in computer science, economics or a related discipline. Some background in statistics and/or an interest in learning econometrics to contribute to the actual statistical analysis (using, e.g., Stata or R) would be a plus, but is not formally required. You must be a registered student at a university in Zurich or nearby, and should be able to dedicate 10 to 15 hours per week to the above projects during the semester (potentially more outside of the semester, per agreement).
Not specified
**For further information**, please contact Jérôme Hergueux at jerome.hergueux@gess.ethz.ch
**Applications** should include a CV, your motivations for applying, and indicate Python / Data Science skills. The application material should be submitted online until October 15, 2017 via the following link:
https://apply.refline.ch/845721/5673/pub/1/index.html
Applications via email or post will not be considered.
**For further information**, please contact Jérôme Hergueux at jerome.hergueux@gess.ethz.ch
**Applications** should include a CV, your motivations for applying, and indicate Python / Data Science skills. The application material should be submitted online until October 15, 2017 via the following link: