Hybrid Graduate Computational Engineer Intern

Lawrence Livermore National Laboratory; Livermore (CA); Hybrid; USD 104,000 - 124,000; Full time

Job summary

Lawrence Livermore National Laboratory (LLNL) invites applications for Graduate Student Interns in the Computational Engineering Division. The roles target graduate students or recent graduates who will engage in practical research and support projects in computational engineering or related fields.

Some assignments offer a hybrid schedule with possible home days. Compensation is $10,215 monthly, with California's exemption rules applying.

Qualifications

• Demonstrated effective communication skills.
• Ability to present and communicate concepts and ideas.
• Ability to work in a team environment.
• Pursuing a graduate degree or has completed a bachelor’s or master’s degree.
• Familiarity with Matlab, TensorFlow, R, Python, OpenCV or finite element tools.

Responsibilities

• Provide technical/research support to computational engineering projects.
• Gather and analyze data in support of scientific research.
• Conduct research in assigned area under limited direction and supervision.
• Perform technical assignments of basic complexity and provide support to scientists.
• Present work through presentations and/or poster sessions.
• Perform other duties as assigned.

Skills

Communication

Teamwork

Data analysis

Education

Graduate degree in progress

Bachelor's/Master's degree completed

Tools

Matlab

TensorFlow

Python

R

OpenCV

FEA tools

Job description

Lawrence Livermore National Laboratory (LLNL) invites applications for Graduate Student Interns in the Computational Engineering Division. The roles target graduate students or recent graduates who will engage in practical research and support projects in computational engineering or related fields.

Some assignments offer a hybrid schedule with possible home days. Compensation is $10,215 monthly, with California's exemption rules applying.