Hybrid Defense Tech Internship: Computational Research Student

Lawrence Livermore National Laboratory; Livermore (CA); Hybrid; USD 112,000 - 117,000; Part time

Job summary

Lawrence Livermore National Laboratory (LLNL) invites applications for the Defense Science and Technology Internship Graduate Computer Student at the graduate level or for students who have earned their bachelor’s or master’s in Physics, Engineering, Mathematics, or CS.

The role focuses on practical research in numerical methods, ML, and computational physics under Strategic Deterrence, with a hybrid schedule offering 1 day per week remote work.

Qualifications

• Pursuing a graduate degree or recently completed bachelor’s/master’s in Physics, Engineering, Mathematics or Computer Science.
• Experience applying advanced physics, engineering or CS to technical problems.
• Ability to present ideas and research clearly, including talks or posters.

Responsibilities

• Provide technical/research support in numerical methods, ML, computational physics or related fields.
• Support documentation, testing, and modification of Laboratory software/hardware/OS.
• Conduct research under limited direction and present findings to scientists.

Skills

Python

C++

Team work

Communication

Education

Graduate degree in Physics/Engineering/Math/CS

Tools

Microsoft Word

Microsoft Excel

PowerPoint

Job description

Lawrence Livermore National Laboratory (LLNL) invites applications for the Defense Science and Technology Internship Graduate Computer Student at the graduate level or for students who have earned their bachelor’s or master’s in Physics, Engineering, Mathematics, or CS.

The role focuses on practical research in numerical methods, ML, and computational physics under Strategic Deterrence, with a hybrid schedule offering 1 day per week remote work.