The Machine-Learning Protest Event Data System (MPEDS) project is looking for a graduate or advanced undergraduate student to help with some computer programming tasks. The goal of the MPEDS project is to use machine learning approaches to develop an automated system for identifying and coding protest events in news sources. The student's responsibilities are technical in nature and will involve fluency in the Python programming language. The student will be working primarily with an existing codebase for a web interface. The student also may also have work in R and the SciPy stack.
There is an immediate need for someone to work on this project and the expectation is that the work will be done during the spring semester with a general expectation of 10 hours a week of work, with some flexibility of commitment in the 5-15 hours/week range. Depending on your student status, experience and time commitment, the hourly rate may vary, or this position may be paid as a Project Assistant. Knowledge and experience with the following technologies are required:
- Database systems (e.g. SQLite, MySQL)
- A version control system, preferably Git
- An MVC web framework such as Flask or Django
- Knowledge of R, the SciPy stack, and scikit-learn is preferred but not required.
Please email Pamela Oliver (email@example.com) and Alex Hanna (firstname.lastname@example.org) with your CV and a short statement summarizing your qualifications, level of availability (hours per week), and interest in this project by February 5, 2016. Direct inquiries for more information about the technical requirements of the position to Alex Hanna.