Good Morning All, Below is information on The University of Chicago’s Computational Social Science Internship Program. Duration: 10-12 weeks, dependent on start date, but anticipate internships running mid-June through mid-September. Cost: Hourly rate using the current Research Aide pay scale Action: The following information is requested by Friday, December 13. If any staff member is interested, please send the following information below directly to Lisa Reed at [email protected]: 1. Brief job description 2. Preferred Qualifications 3. Please indicate technical competencies preferred using the following list: R Python C++ Git Java MATLAB GeoDa HDFS Kafka Storm Cassandra Pig Rift MapReduce SQL C Hadoop ggplot2 D3 Tablau PySAL Excel Spark RapidMinor KNIME skikit-lern Scala Splunk Amazon Machine Learning Dato Dataiku H2O Other (Please List): About the UChicago Computational Social Science Internship Program: The Computational Social Science Internship Program at the University of Chicago was created as a means of developing long-term partnerships between the Masters in Computational Social Science program and participating organizations. At the heart of this program is the desire to provide graduate students with compelling experiences and career opportunities aligned with our research training while allowing UChicago partners to create a pipeline of talent to possibly fill future full-time positions. As a leader in higher education with high standards for intellectual rigor, UChicago has a long tradition of training its graduate students for analytical careers in the public and private sectors. The Masters in Computational Social Science program builds a strong foundation in large data analysis, modeling, and computer programming. Additionally, the program adds the ability to apply cutting edge technologies and statistical techniques to big data sets, magnitudes larger than one normally encounters as a social science investigator. These students are trained to apply strong qualitative and quantitative social science research skills to analyze human behavior and big data across multiple industries. The students seek internships between the first and second year of their MA program and have an average quantitative GRE of 88%, and a full year of UChicago training in computational inference, modeling, simulation, and big data analysis. By the end of their first year, the students will have had serious exposure to R, Python, and the fundamentals of computational inference with big data. Some will have Julia, SQL, STATA, and other programming languages that will be of interest. They will have taken at least 3 courses emphasizing applied research in their field, along with a 4-course core and two electives in math and statistics. If you have any questions, please reach out directly to Lisa Reed. Thanks, Shannon & Tamra -- Computing mailing list [email protected] https://lists.cels.anl.gov/mailman/listinfo/computing