Data Science Institute Graduate Student Intern - Summer 2025

Company Description

Join us and make YOUR mark on the World! 

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. 

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory’s mission. 

Pay 
$9,650.00 Monthly  

 
Please note that the pay is determined by California’s Computer Professional Exemption. 

Job Description

Position will be closed to applicants on January 31, 2025. Mentors will have until February 7, 2025, to make their summer selections.

Internship Dates: 
May 19, 2025 - August 8, 2025 
June 23, 2025 - September 12, 2025 

We have multiple openings for our summer internship program in data science. Our openings are for graduate level students or students who have received their bachelor's or master's degree to join the Data Science Summer Institute (DSSI). The DSSI is a 12-week summer internship program and selected interns will be given the opportunity to engage in practical research to further their educational goals. The selected interns will work in the data science field and provide technical and/or research support to projects in the area of Machine Learning, Statistics, High Performance Computing and other related fields. This is an on-site internship; attendance in person is required. 

You will  

• 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. 

Qualifications

• 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. 

Additional Information

All your information will be kept confidential according to EEO guidelines.

Why Lawrence Livermore National Laboratory?

• Included in 2024 Best Places to