Graduate Internship - Computational Sciences

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 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.

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) in an accredited degree-granting program (or international equivalent).
• Entering graduate students must provide documentation indicating matriculation into an appropriate degree program.
• Must currently have and maintain a cumulative GPA of at least 3.2 on a 4.0 scale (or equivalent).

Desired

Qualifications:

• 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.

The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

Required Application Materials:
When applying, candidates must attach a resume, personal statement (not to exceed one page), and their most recent transcripts (or evidence of having accepted an offer of admission if transcript is unavailable). Personal statements are most effective when they clearly indicate your research interests and highlight your most notable achievements and accomplishments. It should also explain how you have demonstrated the application of desired knowledge and skills in your previous academic and work experiences.

• Current resume
• Current official transcripts
• Personal statement of interest (not to exceed one page)

Important:
The application is NOT complete without the 3 documents. Applicants who fail to submit the three required application documents will not be considered for employment.

Applications are reviewed on a rolling basis, and most hiring decisions will have been made by mid-February 2027 for the summer.

Notes to Applicants:
The application and required documents must be submitted by February 19, 2027.

Due to federal restrictions…