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Sandia National Laboratories · 1 day ago

Intern, R&D Graduate Summer - Future of Research for Secure Energy and Earth Systems (FORSEES), Onsite

Albuquerque, NM

Internship

Onsite

Intern

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation. They are seeking motivated graduate students for their Summer R&D Graduate Internship program, where interns will engage in hands-on research related to energy security and earth systems under the mentorship of experienced scientists and engineers.

GovernmentInformation TechnologyNational Security

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Collect and analyze various data sets related to geophysics, geotechnology, atmospheric science, geomechanics, geochemistry, subsurface science, and renewable energy technologies, including wind and wave power, geothermal energy, solar photovoltaics, and concentrating solar

Present summer research at the end-of-summer FORSEES student symposium

Collaborate on research papers, reports, and presentations

Run existing modeling codes and developing new models and algorithms

Qualification

Machine LearningComputer ProgrammingData AnalysisMulti-Physics SimulationPythonModular Software DevelopmentLaboratory ProceduresResearch DocumentationCommunication SkillsTeamwork

Required

Earned bachelor's degree

Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program

Minimum cumulative GPA of 3.0/4.0

Ability to work up to 40 hours per week during the summer

Ability to secure and maintain a U.S. security clearance which requires U.S. citizenship

Preferred

B.S. in mathematics, physics, earth sciences, computer science, or a related area

Enrolled in a M.S. or Ph.D. program in mathematics, physics, earth sciences, computer science, or a related area

Exceptional written, oral, and visual communication skills

Proficiency with modern computer languages (e.g. PYTHON, R, MATLAB, C/C++, FORTRAN-XX, MPI, Jupyter, Julia, etc.)

Experience with modular computer software development practices

Experience with laboratory and/or field procedures and protocols

Experience creating research documentation with laboratory notebooks or similar archival methods

Experience with machine learning analysis

Benefits

Career advancement and enrichment opportunities

Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)

Generous vacation

Strong medical and other benefits

Competitive 401k

Learning opportunities

Relocation assistance

Amenities aimed at creating a solid work/life balance