Spring Undergraduate Computing Student Intern

Location:  Livermore, CA
Category:  Students & Faculty
Organization:  Computing
Posting Requirement:  External Posting
Job ID: 107572
Job Code: Under Grad Student (705.1)
Date Posted: September 21 2020

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Join us and make YOUR mark on the World!

Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2020 Best Places to Work by Glassdoor!

 




 

We have multiple openings for our Spring Undergraduate Internship Program taking place from January 1, 2021 to April 30, 2021. Our openings are for undergraduate level students who will be given the opportunity to engage in practical research to further their educational goals. The selected interns will provide technical and/or research support to projects in the areas of computational science, cyber defense, computer science, numerical methods, mathematics, or other related fields.

Essential Duties
- Students will work with scientists, engineers, and technical staff members to provide technical and/or research support to projects in the areas of computational science, numerical methods, mathematics, or other related fields.
- Under close supervision, will participate in research in assigned area.
- Gather and analyze data and information in support of scientific research.
- Participate in research planning and evaluation discussion.
- Attend relevant on-site seminars (at least one per week).
- Perform other duties as assigned.


Qualifications
- Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in Computer Science, Mathematics, Machine  Learning, Computer Vision, or other related fields.
- Ability to apply basic computational science and/or mathematical principles to solve technical problems.
- Demonstrated effective communication skills.
- Ability to present and communicate concepts and ideas.
- Experience working with personal computers and familiarity with Word, Excel and PowerPoint.
- Ability to work in a team environment.

Desired Qualifications
- GPA of 3.0 or above.

Pre-Employment Drug Test: External applicant(s) selected for this position will be required to 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.

Security Clearance: None required.

However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process.  This process includes completing an online background investigation form and receiving approval of the background check.  (This process does not apply to foreign nationals.)

Note: This is a Temporary Student Intern appointment. This assignment is for a full-time position between January 1, 2021 to April 30, 2021. Refer to the Scholar Program website at https://scholars.llnl.gov/ for additional student employment information. Salaries are based on student academic level.

Selected applicants will be required to provide current unofficial transcripts.

About Us

Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE).  LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance.  The Laboratory has a current annual budget of about $2.1 billion, employing approximately 6,800 employees.

 

LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.

 

 

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