Postdoc: PV Performance Modeling & Analytics

NCSL International; Albuquerque, Northern (NM, KY); Hybrid; USD 90,000 - 111,000; Full time

Job summary

Sandia National Laboratories in Albuquerque, NM, seeks a Postdoctoral Appointee to advance PV performance modeling, data analysis, and analytics. You will develop and evaluate models, validate methods, and contribute to open-source tools within a team of researchers across Sandia and external partners.

The role involves processing PV performance and meteorological data, benchmarking models, and disseminating results through conferences and journals.

Qualifications

• PhD in engineering, physical sciences, mathematics, computer science, or other relevant, related technical field.
• Demonstrated research experience in PV, energy systems, computational modeling, data science, artificial intelligence, time-series analysis, or O&M analytics.
• Demonstrated programming and scientific computing skills (e.g., experience with Python)
• Strong written and verbal communication skills, as evidenced by publication(s) in peer-reviewed journals and/or presentation(s) at scientific conferences.

Responsibilities

• Develop, test, and verify new analytical methods for assessing PV performance.
• Further develop existing performance models to include additional physics and/or address new environments.
• Perform model calibration and verification.
• Contribute to open-source tools.
• Process and analyze field and experimental PV performance and meteorological data.
• Participate in department and project meetings.
• Attend and present at PV related conferences and workshops.
• Publish research findings in scientific journals and government and/or industry reports.

Skills

PV research

Energy systems

Computational modeling

Data science

Artificial intelligence

Time-series analysis

O&M analytics

Python

Publications

Education

PhD in engineering / physical sciences / mathematics / CS

Tools

pvlib-python

Job description

Sandia National Laboratories in Albuquerque, NM, seeks a Postdoctoral Appointee to advance PV performance modeling, data analysis, and analytics. You will develop and evaluate models, validate methods, and contribute to open-source tools within a team of researchers across Sandia and external partners.

The role involves processing PV performance and meteorological data, benchmarking models, and disseminating results through conferences and journals.