Intern, R&D Graduate Year Round - Photovoltaics & Materials Tech, Hybrid

About the role

We are seeking a graduate level student intern to assist in research related to PV performance modeling, data analysis, and analytics. The successful candidate will support in the development and evaluation of models and analytical methods for understanding and improving PV system performance. Research applications may include terrestrial PV, performance modeling, analysis of measured PV and environmental data, model validation and benchmarking, uncertainty analysis, performance metrics, and operational analytics. The ideal candidate will have a strong background in numerical modeling, data analysis, and experience with open-source software development.

Responsibilities

• Research algorithms for predicting the performance of solar power systems, or for analysis of renewable energy system data
• Develop and contribute to open-source software libraries for modeling and analysis of renewable energy systems
• Develop unit tests using continuous integration services and prepare software documentation
• Prepare and document datasets for publication, including quality assessments and validation
• Prepare scientific publications and presentations

Schedule

The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.

Pay

At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here (https://www.sandia.gov/app/uploads/sites/51/2024/12/Student-Rate-Sheet-2025.docx).

Requirements

• Earned bachelor's degree
• Currently attending and enrolled full time in an accredited science, engineering, or math graduate program
• Minimum cumulative GPA of 3.0/4.0
• Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summer
• U.S. citizens, legal permanent residents, asylees or refugees in the U.S.
• If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, you may be required to comply with NNSA security requirements for MedPEDs.

Qualifications

• Strong programming and scientific computing skills, preferably in Python
• Experience in one or more relevant areas, such as PV, energy systems, computational modeling, data science, artificial intelligence, time-series analysis, or O