Data Science Intern: Automated PV Characterization

First Solar Inc.; Perrysburg (OH); On-site; USD 30,000 - 34,000; Full time

Job summary

First Solar Inc. in Perrysburg, OH invites motivated students pursuing a Bachelor's or Master's degree to join a 6-month internship spanning Spring/Summer or Summer/Fall. You will build data pipelines to automate device characterization for perovskite panels, with Python and data analysis tools, under mentoring from an engineer.

Responsibilities include extracting Voc, Jsc, FF, PCE, Rs, Rsh from raw J-V files, classifying anomalies, and presenting outcomes to leadership at the internship end.

Qualifications

• Pursuing a Bachelor's or Master's in Physics, Electrical Engineering, Materials Science, or Data Science.
• Proficiency in Python for data analysis (pandas, numpy, scipy).
• Working knowledge of solar cell J-V characteristics and related analysis methods.
• Interns encouraged to register their internship with their university.

Responsibilities

• Build data pipelines that automate device characterization for perovskite panels.
• Auto-extract Voc, Jsc, FF, PCE, Rs, Rsh from raw J-V files and classify anomalies.
• Extend the pipeline to assess EL images and correlate image metrics with IV data.

Skills

Python data analysis

PV device physics

Image analysis basics

Documentation and communication

Education

Bachelor's or Master's degree (Physics, E.E., Materials Science, or Data Science)

Job description

First Solar Inc. in Perrysburg, OH invites motivated students pursuing a Bachelor's or Master's degree to join a 6-month internship spanning Spring/Summer or Summer/Fall. You will build data pipelines to automate device characterization for perovskite panels, with Python and data analysis tools, under mentoring from an engineer.

Responsibilities include extracting Voc, Jsc, FF, PCE, Rs, Rsh from raw J-V files, classifying anomalies, and presenting outcomes to leadership at the internship end.