Los Alamos National Laboratory Computational Sciences Graduate Internship Program in Los Alamos, New Mexico
What You Will Do
Do something that matters and make a real difference at one of the World’s most prestigious and innovative multidisciplinary research institutions.
The Computational Science Graduate Student (GRA) Program offers paid summer and year-round internships for graduate students in a variety of Computer Science, Mathematics, and Statistics projects. The GRA program provides mentoring, hands-on technical experience, and professional development opportunities through a formalized work plan complementing the student’s chosen area of study.
Computational Science GRA students support LANL projects in a wide range of project areas including, but are not limited to:
Computational Earth Science research in support of the development and refinement of simulations used to model subsurface, oceanic, and atmospheric systems;
Computational Physics especially related to the testing and improvement of simulations used to predict material and energy flows in extreme temperature and pressure conditions;
Developing and testing new mathematical methods to better quantify predictive uncertainty of failures in engineered systems;
Improving reliability of supercomputing networks using advanced fault analysis techniques and improved task management algorithms;
Research and test various approaches for quantum computing applications; and
Application of machine learning techniques to analyze data associated with a variety of physical systems.
What You Need
Minimum Job Requirements:
Currently enrolled in an accredited graduate degree program in any Computer Science or Mathematics (or related) discipline.
Must be enrolled in at least 6 semester credit hours (or full-time equivalent).
Must currently have and maintain a cumulative GPA of at least 3.2 on a 4.0 scale (or equivalent).
Student selected for GRA internships in Computational Science are most competitive when they possess the following knowledge and skills:
Computer programming (Python, C++, etc.) in support of scientific or engineering applications;
Application of advanced mathematical methods to develop models of physical phenomena;
Familiarity with scientific research methods and data demonstrated by completed coursework in the natural sciences;
Familiarity with cutting edge computational research in applications such as cybersecurity, artificial intelligence, machine learning, and quantum computing;
Demonstrated ability to communicate (verbal and written) well in a professional scientific context; and
Commitment to achieving results in a complex social and organizational setting.
Notes to Applicants: The application and required documents must be submitted by March 31, 2022.
Where You Will Work
Located in northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
U.S. Citizenship: Many Laboratory positions will require or eventually require a security clearance, which typically requires U.S. Citizenship to obtain, except in extremely limited circumstances. See DOE Order 472.2 for additional information.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing.
For general program information refer to theStudent Programs web page.
Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email email@example.com call 1-505-665-4444 option 1.
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Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
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Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active and you can apply for jobs or save to your basket. Important : Enter the validation code within 15 days to activate your account or your account will be deactivated.
Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
From here, you will establish an account with username and password.
How to Apply: Login to Your Account to Complete the Application Process
Click the Vacancy Name number (in blue) to view any job’s details.
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If you experience any technical issues, please email firstname.lastname@example.org for assistance.
Contact Name Robinson, Emily R. M.
Vacancy Name: IRC87957
Organization Name Various Organizations
When applying, candidates must attach a resume, cover letter, and their most recent transcripts (or an acceptance letter indicating matriculation into an appropriate graduate degree program).
Important : Applicants who fail to submit the three required application documents (resume, cover letter, transcript) will not be considered for employment. Cover letters are most effective when they clearly indicate your research interests and highlight your most noteworthy achievements and accomplishments. Your cover letter should also explain how you have demonstrated the application of desired knowledge and skills in your previous academic and work experiences.
Req ID: IRC87957
Category: Student - Graduate