Data Science Intern: Build Automated PV Data Pipelines

First Solar, Inc.

Perrysburg Township (OH)

On-site

USD 30,000 - 34,000

Part time

3 days ago
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Job summary

First Solar, Inc. in Perrysburg, Ohio, offers a 6-month internship spanning Spring/Summer or Summer/Fall. You will build Python-based data pipelines to automate device characterization for perovskite panels, under a mentor with access to historical IV data and an image library.

Ideal candidates are pursuing a Bachelor's or Master's in Physics, EE, Materials Science, or Data Science, with Python (pandas, numpy, scipy) and PV device knowledge. You will present成果 at the leadership review.

Qualifications

  • Currently pursuing a Bachelor's or Master's in Physics, Electrical Engineering, Materials Science, or Data Science; upper-level undergrad or grad student.
  • Proficiency in Python for data analysis (pandas, numpy, scipy).
  • Working knowledge of solar cell J-V characteristics and related characterization methods; Basic ML knowledge is a plus.
  • Encouraged to register internship with university.

Responsibilities

  • Build data pipelines that automate device characterization for perovskite panels under mentor guidance.
  • Develop an automated pass/fail report template for the pipeline.
  • Extend analytics to image data (EL/PL) and correlate with IV metrics to set go/no-go criteria.
  • Present accomplishments and project summary to leadership at internship end.

Skills

Python data analysis
PV device physics
Image analysis
Statistics
Documentation & communication
Python data analysis

Education

Bachelor's or Master's in Physics/EE/Materials/Data Science

Tools

pandas
numpy
scipy

Job description

First Solar, Inc. in Perrysburg, Ohio, offers a 6-month internship spanning Spring/Summer or Summer/Fall. You will build Python-based data pipelines to automate device characterization for perovskite panels, under a mentor with access to historical IV data and an image library.

Ideal candidates are pursuing a Bachelor's or Master's in Physics, EE, Materials Science, or Data Science, with Python (pandas, numpy, scipy) and PV device knowledge. You will present成果 at the leadership review.

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