Qualifications

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