At BDLab (Big Data Management and Mining Laboratory), candidates will have the opportunity to work on fundamental problems in the area of "big data management and mining" and “database systems”, as well as “data science” problems adopted from various domains that practice data-driven research. For more information about the on-going research projects see the Research. If you are interested in joining BDLab, see the available openings below. PhD students are not limited to the current opening projects. If you decide to apply, please read the Application Requirements at the end of this page before contacting the indicated project lead.
Application Requirements
- Openings in the Big Data Management and Mining Research Laboratory (BDLab) for PhD Graduate Research Assistants, MS, and Undergraduate Research Assistants.
- Email the required documents to the associated person mentioned in each position with the subject: "Big Data Management and Mining Position - XXX - XX ", replacing XXX by "phd", "master", or "under grad" and XX by the position name respectively.
Research Focus Areas
The candidates will have the opportunity to work with Professor Farnoush Banaei-Kashani at the Department of Computer Science and Engineering, University of Colorado Denver, on various aspects including:
- Management and mining of "mobility data" from molecule to cosmos scale.
- Large-scale and high-throughput distributed and parallel data processing with modern hardware.
- Big data management and mining for a variety of data-driven applications such as intelligent transportation, health informatics, and geospatial analytics.
- Spatial data management and mining.
PhD Applicants
- Strong background in algorithms and databases, and a track record of building systems.
- Email resume, standardized test scores, transcripts, and a short statement of research interests.
MS and Undergraduate Applicants
- Must be a student at University of Colorado Denver.
- Enroll in one of the courses and demonstrate interests and capabilities.
- Email resume and transcript.