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Research Associate I – AI & Computer Vision for PV Inspection

Carnegie Mellon University · Doha

🇬🇧 English
Python C++ PyTorch Computer vision Deep learning Thermal imaging Data analysis

Job description

About the role

Carnegie Mellon University is seeking a motivated Graduate Research Associate to advance AI‑ and computer‑vision‑based thermographic inspection of photovoltaic (PV) panels. The role is part‑time, hourly, and starts immediately.

Key responsibilities

  • Develop deep‑learning algorithms for thermal image analysis.
  • Build mosaics from thermal image datasets.
  • Collect, curate, and analyze thermal imaging data from PV installations.
  • Contribute to research publications on PV health monitoring.

Required profile

  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
  • Strong programming ability in Python and/or C/C++.
  • Experience with Linux environments.
  • Familiarity with research writing and data analysis.

Required skills

  • Python
  • C++ (or C)
  • PyTorch
  • Computer vision techniques
  • Deep learning
  • Thermal imaging
  • Data analysis

What we offer

  • Comprehensive medical, dental, vision, and prescription coverage.
  • Generous retirement savings program with employer contributions.
  • Tuition benefits and paid time off.
  • Life, accidental death, and disability insurance.
  • Free Pittsburgh Regional Transit bus pass, fitness center access, and family concierge services.

Questions fréquentes

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Published 2 months ago

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Carnegie Mellon University

Doha