Energy Modeler (PhD/PostDoc) – AI-Driven Energy Simulations
ClimateForge
- Location
- Remote
- Type
- Contract
- Area
- Energy
- Posted
- Nov 03, 2024
Last seen in the source feed: Oct 10, 2026.
Application link last checked: Oct 5, 2026. The check could not confirm opening status.
Source listings can change. Check the employer's page for current availability and application requirements.
Job description
Core responsibilities:
- Develop and implement energy simulation models tailored to individual properties
- Utilize machine learning algorithms and simulation tools such as EnergyPlus to enhance model accuracy
- Analyze simulation outcomes to provide actionable insights for energy efficiency improvements
- Collaborate with cross-functional teams to integrate simulation results into client solutions
The difference you'll make
This role contributes to innovative solutions that accelerate energy upgrades and support grid decarbonization, helping to speed up energy upgrades deployment and decarbonize the grid.
What makes you a great fit
Required qualifications:
- PhD or Postdoctoral experience in Energy Engineering, Building Science, Mechanical Engineering, or a related field
- Proficiency in energy modeling software (e.g., EnergyPlus) and machine learning techniques
- Strong analytical skills with the ability to interpret complex data sets
- Excellent communication skills for conveying technical information to diverse audiences
Benefits
This is an initial unpaid trial of 2 months that will become a contract position after mutual agreement. The organization celebrates diversity and is committed to creating an inclusive environment for all employees.
About ClimateForge
ClimateForge is a leading-edge AI software climate tech company on a mission to speed up energy upgrades deployment and decarbonize the grid by enabling contractors to install more energy upgrades and electrification projects in a few clicks.
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Energy Modeler (PhD/PostDoc) – AI-Driven Energy Simulations
ClimateForge