Barys Shyrokau
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2 months ago
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Postdoc in Human-Centred Thermal Comfort and Machine Learning for Electric Vehicles Delft University of Technology in Netherlands
Degree Level
Postdoc
Field of study
Computer Science
Funding
2-year postdoctoral position as part of the EU-funded AETHER EU project. The post is newly funded and collaborative across academic and industry partners in Europe; no stipend amount is stated.
Deadline
Jul 22, 2026
Country
Netherlands
University
Delft University of Technology

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About this position
TU Delft’s Intelligent Vehicles group is recruiting a Postdoctoral Researcher in Human-Centred Thermal Comfort for Electric Vehicles within the newly funded AETHER EU project.
The project focuses on developing next-generation thermal comfort technologies for electric vehicles by combining physiological sensing, human participant experiments, and machine learning. The research aims to improve comfort, energy efficiency, and sustainability in EVs, making it a strong fit for candidates interested in human-centred vehicle systems and applied AI.
The position is based in Delft, Netherlands, and is a 2-year postdoctoral appointment. It is part of a broader European collaboration involving academic partners such as Politecnico di Torino, Ghent University, and Technische Universität Ilmenau, as well as industry partners including AVL, Dumarey Group, Garrett - Advancing Motion, and SODA.Auto.
Preferred background areas include machine learning, human factors, thermal comfort, biomedical sensing, and intelligent vehicle systems. The post explicitly notes that the team is seeking the best overall match and is not requiring every listed skill.
Application deadline: 22 July 2026.
More information and application details are available via the TU Delft careers page and the linked application page.
Funding details
2-year postdoctoral position as part of the EU-funded AETHER EU project. The post is newly funded and collaborative across academic and industry partners in Europe; no stipend amount is stated.
What's required
Applicants should have a background in machine learning, human factors, thermal comfort, biomedical sensing, or intelligent vehicle systems. The post says the team is looking for the best match across these areas and does not explicitly require all of them.
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