Computing Spring Graduate Internship Program

Lawrence Livermore National LaboratoryLivermore, California, United States

Location
Livermore, California, United States
Posted
Status
Open

About this role

Engage in hands-on research supporting critical national security projects in computational science, cyber defense, and related STEM disciplines.

🎯 About the Role

This internship program offers graduate students the opportunity to participate in hands-on research that supports their educational and professional development. Interns will provide technical and/or research support to projects in computational science, cyber defense, computer science, and related STEM fields.

πŸ› οΈ Key Responsibilities

  • πŸ”¬ Provide technical and/or research support to projects in STEM disciplines.
  • πŸ’» Support documentation, testing, and modification of Laboratory software, hardware, or operating systems.
  • πŸ“š Conduct research in assigned area under limited direction.
  • πŸ“Š Perform technical assignments and provide support to scientists.
  • πŸ—£οΈ Attend relevant seminars and present work.

βœ… Requirements & Skills

  • πŸŽ“ Pursuing a graduate degree in Computer Science, Mathematics, Data Science, Machine Learning, Cybersecurity, or other related STEM fields by Fall 2027.
  • πŸ’ͺ Proven ability to adapt and thrive in challenging situations.
  • 🧠 Ability to apply computational science and/or mathematical principles.
  • πŸ“ˆ Demonstrated academic achievement in scientific curriculum.
  • πŸ—£οΈ Demonstrated effective communication skills.
  • πŸ§‘β€πŸ€β€πŸ§‘ Ability to work in a team environment.
  • πŸ’― Must have GPA of 3.0 or higher.

🎁 Perks & Benefits

  • πŸ’° Holiday Pay
  • ⏳ Sick leave accrual
  • πŸ“ˆ Individual 401(k) contributions

πŸ’° Compensation: $10,215 Monthly

⏳ Duration: January 4, 2027 through May 28, 2027

πŸ“ Location: Livermore, CA, United States

πŸ“© How to Apply

Apply through the Lawrence Livermore National Laboratory careers page.

How to apply

Applications are handled on linkedin.com, not here. The link below opens the original posting.

Apply on the original posting

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