Lawrence Livermore National Laboratory (LLNL) is seeking undergraduate students for its Data Science Summer Institute (DSSI) program to provide technical and/or research support to projects in Machine Learning, Statistics, High Performance Computing, and other related fields, thereby strengthening the United States' security and fostering innovation.
Requirements
- Effective programming skills in a high-level language such as R, Python or Matlab.
- Ability to apply basic principles of data sciences (machine learning, statistics, computer science, mathematics) to solve technical problems.
- Exposure through coursework or relevant experience to some of the following topics: Statistical modeling and data analysis, Bayesian and frequentist statistical frameworks, Inverse problems, Uncertainty quantification, Machine learning, Computer vision, Multimedia signal and video processing, Combinatorics and algorithms, Graph modeling and social network analysis, Modeling and simulation.
Responsibilities
- Work with scientists, engineers and technical staff members to provide technical and/or research support to projects in the areas of computational science, numerical methods, mathematics, or other related fields.
- Participate in research in assigned areas under close supervision.
- Gather and analyze data and information in support of scientific research.
- Participate in research planning and evaluation discussion.
- Work with other DSSI interns on a data science challenge problem.
- Attend data science related short courses/seminars, meetings, tours, and events.
- Present work through presentations and/or poster sessions during your internship.
Other
- This is an on-site internship; attendance in person is required.
- Confirm with your university that you are permitted to participate in and work for the full 12-week internship program (i.e. CPT hours).
- Ability to present and communicate concepts and ideas.
- Ability to work in a team environment.
- Effective communication skills.
