Computational Engineering Division Undergraduate Intern

Computational Engineering Division (CED) offers continuing undergraduate students the opportunity to engage in practical research experience to further their educational goals. Opportunities include technical and/or research support to projects in the areas of Electrical Engineering Mechanical Engineering Computational Engineering or other related fields.

This position requires full-time on-site presence due to the nature of the work.

In this role you will 

• Provide technical and/or research support for projects involving material strength characterization additively manufactured metals computational modeling and AI/ML-enabled surrogate modeling.
• Perform hands-on experimental work to determine material properties such as strength and stress-strain behavior using mechanical testing systems.
• Support integration of stress-strain and related material data into a software workflow.
• Assist in developing training and evaluating surrogate models using AI/ML methods for constitutive model emulation.
• Prepare summaries figures presentations or technical briefings to communicate research findings.
• Attend relevant seminars.
• Perform other duties as assigned.

Qualifications :

• Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
• Must be a college or university student in good academic standing enrolled in an accredited institution pursuing an associates or bachelors degree or has completed their associates degree in engineering physics computer science or a related field.
• A sustained record of outstanding academic performance.
• Ability to work full time for six months from July 2026 - December 2026.
• Ability to apply basic engineering or scientific principles to solve technical problems.
• Communication skills necessary to communicate research project(s) document work and give a technical talk/presentation.
• Ability to present and communicate concepts and ideas.
• Effective interpersonal skills with the ability to work in a team environment.
• Familiarity with one or more of the following technical computing packages common in your discipline area such as Matlab R or Python.
• Experience working with computers and familiarity with Microsoft Word Excel and PowerPoint.

Pay Range

$23.26  - $31.62  Hourly 

This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year. 

Additional Information :

Why Lawrence Livermore National Laboratory

• Included in 2026 Best Places to Work by Glassdoor!
• Holiday Pay
• Sick leave accrual
• Individual 401(k) contributions
• Our values - visit  Clearance

  None required.  However this position involves U.S. Export Control; this work must be performed by a U.S. person (U.S. citizen U.S. lawful permanent resident U.S. national or U.S. protected individual (e.g. refugee asylee)).

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  Pre-Employment Drug Test

  External applicant(s) selected for this position must pass a post-offer pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

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  Remote Work :

  No

  
  

  Employment Type :

  Intern