Computational Engineering Division Graduate Student Intern - Fall 2024
Organisation Name: LLNL
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Country: UnitedStates
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Company Description
Join us and make YOUR mark on the World!
Are you interested in joining some of the brightest talent in the world to strengthen the United States security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are looking for individuals that demonstrate an understanding of working in partnership with team peers who engage advocate and contribute to building an inclusive culture and provide expertise to solve challenging problems.
Pay
$9650 monthly for the 705.3/712.1 level
This is a part-time position pay will be adjusted accordingly for part-time commitment.
Please note that the pay is determined by Californias Computer Professional Exemption.
Job Description
Computational Engineering Division (CED) has an opening for a Graduate Student Intern within LLNLs Flight Performance Integration (FPI) program. This opening is for a graduate level student who has received a bachelors or masters degree. The role provides the opportunity to engage in practical uncertainty quantification (UQ) research and application in an applied aerospace field within a dynamic multidisciplinary team. We are currently seeking a 10-20 hour commitment with remote work possible. Support for a full-time on-site three-month summer internship opportunities may also be considered. Pay will be adjusted for pat time commitment. For this position there is no expectation that the students graduate level work will align or benefit from this position. Research that overlaps with this positions duties and the students scholastic goals however would be considered a welcome benefit.
In this roleyou will
Provide technical and research support to efforts in applying uncertainty quantification (UQ) methods for LLNLs Flight Performance Integration (FPI) program.
Work within a multidisciplinary environment requiring investment in learning information outside of current graduate research scope.
Learn a variety of software and modeling workflows for gathering and analyzing data in support of uncertainty quantification efforts.
Conduct efforts in assigned area under limited direction and supervision.
Present work through regular presentations and meetings with invested team members.
Contribute peer reviewed software product in pursuit of UQ software workflows.
Perform other duties as assigned.
Qualifications
Must be a continuing college student in good standing at an accredited institution pursuing a graduate degree or has completed their bachelors or masters degree.
Demonstrated academic achievement in Engineering Computer Science or a related field.
Ability to apply computational science and/or mathematical principles to solve technical problems.
Demonstrated effective communication skills.
Ability to present and communicate concepts and ideas.
Ability to work in a team environment.
Familiarity with python and working with a Linux shell
Experience working with computers and familiarity with Microsoft Word Excel and PowerPoint.
Qualifications We Desire
GPA of 3.5 or above.
Additional Information
All your information will be kept confidential according to EEO guidelines.
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.)
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.
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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 pregnancy protected veteran status age citizenship or any other characteristic protected by applicable laws.
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process please use our online form to submit a request.
CaliforniaPrivacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants employees and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
Why Lawrence Livermore National Laboratory?
Included in 2024 Best Places to Work by Glassdoor!
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.)
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.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under Find Your Job of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent we strongly recommend you do not respond.
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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 pregnancy protected veteran status age citizenship or any other characteristic protected by applicable laws.
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process please use our online form to submit a request.
CaliforniaPrivacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants employees and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
