We are a group
of faculty members from the economics department who are studying a large
dataset made available by Premise (www.premise.com),
a San Francisco based company that specializes in analytics based on mobile
data. For example, Premise has been part of World Bank projects where it has
managed to collect mobile based data on basic goods, and that can be used to
compute estimates of local inflation. We are using Premise’s data to construct
predictive models of local instability.
In this respect, we are
interested in hiring two Research Assistants to assist us in cleaning and
analyzing the data. The Research Assistants should have the following
qualifications:
- Should either be a graduate student or fourth year undergraduate
student
- Enrolled in either an engineering, math, computer science, or
statistics program
- Be able to work 10 hours a week on the project
- Demonstrated experience in working with large datasets
- Proven ability to construct and run predictive statistical models
such as logistic regressions, random forests, and artificial neural
networks
- Comfortable in the use of R, Python, and other relevant software
- An interest in learning on how to use machine-based models to
predict global events of social and economic significance
Subject to
quality of work, we are open to the possibility of co-authorship as well as
introductions with the team at Premise.
Applicants
should send their application/resume to Anindya Sen mailto:asen@uwaterloo.ca by 5pm, September
29.
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