Big Data Innovation Hourly Graduate and Undergraduate Positions

Big Data Innovation Hourly Graduate and Undergraduate Positions

Sponsored by the National Science Foundation's Big Data program, the VOICE project at Maryland's iSchool is seeking graduate and undergraduate students to fill multiple hourly paid positions. These are hourly positions: There is no health, tuition, or other fringe benefits. The hourly pay rate ranges from $16 to $20/hour, depending on qualifications and experiences. Students selected will work for up to 20 hours/week, beginning immediately and continuing through May 2018, with the possibility of continued employment over the summer and fall. The University of Maryland is an Equal Opportunity Employer.

From multiple online resources, this research project identifies traces of innovations in the development, dissemination, and application of big data technologies in various scientific, business, and cybersecurity domains. The research team employs data science and ecology theory to understand these big data innovations' evolving and varying degrees of success. The ideal candidate should have at least one of the following areas of expertise/interests:

1) Familiarity with statistical analysis such as chi-squared tests and linear regression. Interest in learning advanced statistical techniques such as survival analysis and time series analysis;
2) Familiarity with social network analysis and visualization;
3) Familiarity with libraries for crawlers, parse text into tokens, and perform text mining analysis;
4) Programming experience to use open source libraries for various tasks such as format tables out of  XML, csv, or HTML files and ability to use Git and Github or to learn to use those tools; and/or
5) Familiarity with named-entity recognition, topic modeling, or sentiment analysis.

If interested, please send your resume to pwang@umd.edu with the subject "VOICE Hourly Graduate Position" or "VOICE Hourly Undergraduate Position", depending on whether you are a graduate or undergraduate student at UMD. In your cover letter, please explicitly define which of the above qualifications you have and briefly provide supporting evidence (e.g. course project, previous work, etc.). Also please include the contact information for two professional references (current phone and email information).
For best consideration, please submit all application materials by Friday, September 15, 2017. Applications will be accepted until the positions are filled.