To be considered for the Data Science Summer Institute Program, you should have the following qualifications:
- Actively pursuing a degree in applied mathematics, computer science, computer vision, machine learning, statistics, or a similar field
- Desire to understand and explore why certain algorithms are well-suited to specific applications
- Desire to participate in individual or team efforts including the LLNL DSSI Challenge Problems
- Desire to improve skills in public presentation of scientific results by giving presentations and participating in the LLNL student poster competition
- Eagerness to obtain an understanding of new application areas
- Effective programming skills in a high-level language such as R, Matlab, or Python, Distributed/parallel computing and experience with C/C++, Java a plus.
- Exposure through coursework to some of the following topics:
- Statistical modeling and data analysis
- Bayesian and frequentist statistical frameworks
- Inverse problems, uncertainty quantification
- Machine learning / pattern recognition
- Computer vision
- Multimedia signal and video recognition
- Combinatorics and algorithms
- Graph modeling and social network analysis
- Modeling and Simulation