Post-doctoral Fellow, Intelligence And Computing Lab

Colorado School of Mines

Golden, Colorado, US
$60,000 annual salary rate; not specified; benefit...
On-site
Ai for built environment
Distribution system resilience
Geospatial ml expertise
The Colorado School of Mines is seeking a Post-Doctoral Fellow for its Intelligence and Computing Lab, focusing on power systems, AI, and resilience in energy systems. The role involves research responsibilities, including modeling and simulation, and is ideal for candidates with a PhD in electrical engineering or a related field, specifically those with experience in distribution systems and machine learning

Job Summary

  • The research at PIC lab lies at the intersection of power system, AI, computing and control and targets at energy system resilience, digitalization and decarbonization.
  • The Post-Doctoral Researcher will work in areas including distribution system modeling, resilience to wildfire and natural hazards, and AI for the built environment.
  • Colorado School of Mines offers a robust portfolio of benefits including flexible health and dental care, generous sick/vacation time, and a fully vested retirement plan.

Matching Summary

Match Score: 85

The Colorado School of Mines is seeking a Post-Doctoral Fellow for its Intelligence and Computing Lab, focusing on power systems, AI, and resilience in energy systems. The role involves research responsibilities, including modeling and simulation, and is ideal for candidates with a PhD in electrical engineering or a related field, specifically those with experience in distribution systems and machine learning.

Salary

$60,000 annual salary rate; Not specified; Benefits included

Skills & Requirements

Must-have

  • AI for built environment
  • Distribution system resilience
  • Geospatial ML expertise
  • Power system modeling
  • Physics-informed machine learning

Nice-to-have

  • Interdisciplinary team collaboration
  • Strong communication skills
  • Experience with OpenDSS
  • Experience with PyTorch
  • Experience with TensorFlow

Key Requirements

  • PhD in electrical engineering or related field by June 1, 2026
  • Expertise in power system simulation or resilience
  • Expertise in physics-informed machine learning
  • Expertise in geospatial data-driven modeling

Work Rights

Not specified

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