Internship - Ai-driven Real Time Prediction Of Degradation In Emerging Photovoltaic Technologies M/f

TotalEnergies

PALAISEAU, France
On-site
Ai modeling
Degradation prediction
Time series analysis
Develop advanced AI models to estimate real-time power output and degradation in industrial PV fields equipped with emerging technologies

Job Summary

  • Develop advanced AI models to estimate real-time power output and degradation in industrial PV fields equipped with emerging technologies.
  • Analyze large perovskite degradation datasets and identify dominant meteorological stress factors driving degradation.
  • Embed AI models into a decision support tool to facilitate the industrial rollout of perovskite and tandem modules.

Matching Summary

Develop advanced AI models to estimate real-time power output and degradation in industrial PV fields equipped with emerging technologies.

Skills & Requirements

Must-have

  • AI modeling
  • Degradation prediction
  • Time series analysis
  • Regression methods
  • Perovskite and tandem modules

Nice-to-have

  • Physics-based models
  • Decision support tool development
  • Indoor testing protocol recommendation

Key Requirements

  • Currently enrolled in engineering school or Master's degree
  • 6-month end-of-study internship
  • First experience in AI/ML
  • Knowledge in neural networks
  • Familiarity with data analysis and modeling

Work Rights

Not specified

Tailored Resume

Cover Letter