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Internship

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

🚀 Off-cycle Internship

Albuquerque

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Applications are closed

Off-cycle Internship

Research & Development, Engineering•Albuquerque

Description

  • This job involves the processing of time-series electrical and meteorological data generated by one or more experimental photovoltaic (PV) systems at the Michigan Regional Test Center (RTC) for Emerging Solar Technologies, which is owned by Michigan Technological University and located in Calumet, Michigan.
  • The objective is to compare snow shedding rates for different PV designs in order to identify design parameters that promote snow shedding and result in measurably more electricity generation in winter.

Requirements

  • Qualifications We Require:
  • You bring the confidence and skills to be eligible for the job by meeting these minimum 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.
  • Qualifications We Desire:
  • An understanding of the scientific method and experimental procedures.
  • Analytical and computer skills including a working knowledge of Python and willingness to work with time-series data, including date manipulation and data cleaning.
  • Fundamental understanding of photovoltaic systems and solar resource data.
  • Attention to detail
  • Experience using MS Excel, MATLAB, R, or System Advisor Model.
  • Coursework in electrical systems renewable energy, photovoltaics, energy systems, data analysis, or related topics. Materials Science, Electrical Engineering, Mechanical Engineering, Chemical Engineering major

Education requirements

Currently Studying

Area of Responsibilities

Research & Development
Engineering

Responsibilities

  • Data manipulation and analysis using Python code
  • Analysis of time-series digital images
  • Analysis of the surface roughness of PV modules and frames using a handheld surface analyze
  • Electro-luminescent imaging of PV modules
  • Completion of, and compliance with, all required training as directed by SNL
  • Presentation and reporting of results, as requested.
  • This position best suits a student with an interest in electrical or mechanical engineering, materials science, and renewable energy, especially solar energy.

Details

Work type

Full time

Work mode

office

Location

Albuquerque