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Sandia National Laboratories · 1 day ago

Intern, R&D Undergraduate 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 undergraduate students in science, engineering, and math for their Future Of Research for Secure Energy and Earth Systems (FORSEES) Intern Institute. Interns will engage in hands-on research opportunities, collaborating with scientists and engineers to tackle challenges in earth systems and energy security.

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 symposium

Collaborate on research papers, reports, and presentations

Run existing modeling codes and developing new models and algorithms

Qualification

Machine LearningComputer ProgrammingData AnalysisModular Software DevelopmentLaboratory ProceduresCommunication SkillsField ProceduresGeophysicsGeotechnologyAtmospheric ScienceGeomechanicsGeochemistryRenewable EnergyTeamworkTechnical WritingPresentation Skills

Required

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

Pursuing a science, engineering, or math major

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

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 with machine learning analysis

Benefits

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