Note: This is a position with a CEGA affiliate, not a CEGA position
Project Description:
The Social Science Prediction Platform (SSPP) allows for the systematic collection and assessment of expert forecasts of the effects of untested social programs. This should help both policymakers and social scientists by improving the accuracy of forecasts, allowing for more effective decision-making, and improving experimental design and analysis.
Position Details
Position
Software Engineering Intern
Location
Remote (with the possibility of in-person collaboration depending on circumstances)
Duration
3 months, with the potential for extension
Role Description
As a Software Engineering Intern at SSPP, you will work with a Lead Software Engineer and a team of Economics Professors, Post-Grads, and Undergrads. You will debug and fix bugs, and work on features through all the phases of: Design Doc → Unit Tests → Code → Code Review → Release Management. The SSPP platform is built with PostgreSQL and Django, and runs in Docker and on Heroku.
Required Qualifications
- Currently pursuing a degree in Computer Science, Engineering, or a related field.
- Proficiency in Python.
- Experience collaborating remotely (e.g. work or school).
- Eligible to work in the United States; we are not able to sponsor visas.
Preferred Qualifications
- Familiarity with Django.
- Familiarity with basic web development (HTML, CSS, basic Javascript).
Benefits
- Hourly pay at market rates.
- Hands-on experience / learning to work through the full software development process.
- Flexible work hours.
- Potential for future employment based on mutual needs.
How To Apply
Please apply by sending your resume and GitHub profile / links to relevant code examples to team@socialscienceprediction.org
Deadline
Applications will be reviewed on a rolling basis.
