MINES Paris - PSL
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PhD in Advanced 3D Thermo-Physiological Modeling and AI-Driven Control for Personalized Thermal Comfort in Electric Vehicles Mines Paris - PSL in France
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Dec 31, 2026
Country
France
University
MINES Paris - PSL

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About this position
PhD position at Mines Paris – PSL in Versailles, France, within the Transport, Efficiency and Decarbonization (TED) Team at the Center of Energy, Environment and Processes (CEEP) for the EVEREST Project.
The project focuses on advanced 3D thermo-physiological modeling and AI-driven control for personalized thermal comfort in electric vehicles. This is a strong fit for candidates interested in heat transfer, thermal comfort, mechanical engineering, energy engineering, automotive engineering, and machine learning.
Eligibility highlights: a master's degree in mechanical, energy, or automotive engineering is required; a strong heat transfer background is required; proficiency in Python or MATLAB is required; machine learning experience is valued.
Funding: not specified in the post.
Deadline: rolling basis until filled. The post states a start date of January 2027.
Interested applicants should prepare a CV and relevant academic background aligned with thermal modeling, control, and AI methods, then apply as soon as possible through the advertised application route.
Funding details
Available
What's required
Master's degree in mechanical, energy, or automotive engineering. Strong background in heat transfer is required. Python or MATLAB proficiency is required. Machine learning experience is valued.
How to apply
Apply through the linked application process as soon as possible. The position is on a rolling basis until filled, so early application is recommended.
More information can be found here
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