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Data Science Summer Institute Graduate Student Internship

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
  • Los Angeles

Requirements

  • Must be a continuing college or university student in good standing at an accredited institution pursuing a graduate degree or has completed their bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, Machine Learning, Computer Vision, Bioengineering or other related fields.
  • Effective programming skills in a high-level language, such as, R, Python or Matlab. Distributed/parallel computing and experience with C/C++ and/or Java a plus.
  • Ability to apply principles of data sciences (machine learning, statistics, computer science, mathematics) to solve technical problems.
  • Ability to present and communicate concepts and ideas.
  • Ability to work in a team environment.
  • Effective communication skills.
  • 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.
  • 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
  • Qualifications We Desire
  • GPA of 3.0 or above.

Responsibilities

  • Provide technical and/or research support to projects in the areas of computational science, numerical methods, mathematics, or other related fields, working with scientists, engineers, and technical staff members.
  • Perform technical assignments of a basic degree of complexity and provide technical support to scientists in scientific research and development projects.
  • Attend data science related short courses, attending meetings and work with other interns on a data science challenge problem.
  • Support documentation, testing, creation, or modification of Laboratory software, hardware, or Computer operating systems.
  • Conduct research in assigned area. Gather and analyze data and information in support of scientific research under limited direction and supervision.
  • Participate in research planning and evaluation discussion.
  • Attend relevant seminars and participate in DSSI related courses, meetings, and events.
  • Present work through presentations and/or poster sessions during your internship.
  • Perform other duties as assigned.

Science and technology on a mission

Science & Healthcare
Industry
5001-10,000
Employees
1952
Founded Year

Mission & Purpose

Lawrence Livermore National Laboratory, located in the San Francisco Bay Area, is a premier applied science laboratory that is part of the National Nuclear Security Administration within the Department of Energy. LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory's science and engineering are being applied to achieve breakthroughs for counterterrorism and nonproliferation, defense and intelligence, energy and environmental security. The world-class programs and capabilities at the Lawrence Livermore National Laboratory span one square mile, what many consider to be "the smartest square mile on Earth."​