Computing Undergraduate Early Internship Program

Lawrence Livermore National LaboratoryLivermore, California, United States

Location
Livermore, California, United States
Posted
Status
Open

About this role

Gain foundational work experience in computational science and related STEM fields through practical research and technical support.

🎯 About the Role

This entry-level internship opportunity is for students pursuing an undergraduate degree who are interested in gaining foundational work experience in computational science, cyber defense, computer science, and related STEM disciplines. The program offers valuable hands-on experience in practical research.

πŸ› οΈ Key Responsibilities

  • πŸ”¬ Provide technical and/or research support to projects in STEM disciplines.
  • πŸ’» Develop skills with tools such as Git, Bash, and Python.
  • πŸ“Š Gather and analyze data and information.
  • πŸ“ˆ Participate in research planning and evaluation discussions.
  • πŸ—£οΈ Attend relevant seminars and participate in poster presentations.

βœ… Requirements & Skills

  • πŸŽ“ Pursuing an undergraduate degree in Fall 2027 in Computer Science, Mathematics, Data Science, Machine Learning, Cybersecurity, or other related STEM fields.
  • πŸ’ͺ Proven ability to adapt and thrive in challenging situations.
  • 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.
  • ⭐ Participated in a STEM related club for at least 1 academic school year.

🎁 Perks & Benefits

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

πŸ’° Compensation: $23.26 - $31.62 Hourly

⏳ Duration: Multiple start dates between May 17, 2027 - June 21, 2027, ending between August 6, 2027 - September 10, 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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