Are you interested in using your machine-learning, data-mining, and data science skills to make the world a better place? The Center for Data Science & Public Policy at the University of Chicago has openings for Post-Doctoral Data Science for Social Good Fellows with a strong background in machine learning/data mining/statistics and a passion for social impact. Post-Doc Fellows will work on and lead projects related to education, public health, criminal justice, environment, economic development and international development in partnership with government agencies and nonprofits.
- Work on and lead cross-disciplinary teams of computer scientists, statisticians and social scientists focused on data science projects with social impact
- Help define and scope data science projects with government agencies and nonprofit partners
- Help build software prototypes and open-source code for solving social problems
- Help organize the Data Science for Social Good Summer Fellowship
- Publish and disseminate results of Data Science for Social Good projects in conferences, journals and blogs
- Strong academic record and PhD (finished or expected soon) in computer science, machine learning, statistics, computational or quantitative physical/social sciences or related areas
- Experience working on real-world problems and passion for making a social impact
- Strong programming skills (ideally in Python)
- Strong database skills
- Data analysis, machine learning, data mining skills
- Experience with experimental design
Applications should be submitted using this link and include a CV, expected date of availability and contact information for three references. Applications will continue to be accepted until positions are filled.