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Postdoc Human-Centred Thermal Comfort and Machine Learning Electric Vehicles NL

Job in 2600, Delft, Zuid-Holland, Netherlands
Listing for: Qabird
Full Time position
Listed on 2026-06-26
Job specializations:
  • Engineering
    AI Business & Operations, AI Engineer (Applied/Software)
  • Research/Development
    Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 3 - 5 EUR Hourly EUR 3.00 5.00 HOUR
Job Description & How to Apply Below
Position: Postdoc Human-Centred Thermal Comfort and Machine Learning for Electric Vehicles NL, 26[...]

Postdoc Human‑Centred Thermal Comfort and Machine Learning for Electric Vehicles

The Intelligent Vehicles (IV) group at TU Delft aims to increase the safety, comfort, and sustainability of transportation through automated driving. This role will develop next‑generation thermal comfort technologies for Battery Electric Vehicles, combining machine learning, human‑centred experimentation, real‑time prediction, and integration of intelligent climate control systems into vehicle platforms within the EU project AETHER.

Responsibilities
  • Develop advanced thermal comfort metrics using multimodal physiological, environmental, and subjective assessment.
  • Design and implement machine learning algorithms for real‑time prediction of occupant thermal comfort.
  • Analyse physiological signals including skin temperature, skin conductance, heart rate, and wearable sensor data.
  • Develop and validate comfort prediction models targeting high accuracy using a dynamic driving simulator and real‑world operating conditions.
  • Integrate thermal comfort models into vehicle climate control systems for adaptive heating, cooling, and ventilation strategies.
  • Design, conduct and analyse human‑subject experiments involving diverse participant groups.
  • Collaborate with academic and industrial partners on system integration, validation, and dissemination activities.
  • Publish research findings in leading scientific journals and present results at international conferences.
Requirements
  • PhD or equivalent in a relevant field (e.g., control systems, human factors, machine learning, automotive engineering).
  • Experience in designing and conducting human‑subject experiments with multimodal physiological data.
  • Strong background in machine learning, data analytics and real‑time systems.
  • Ability to integrate models into embedded control systems.
  • Excellent communication skills in English and ability to publish in peer‑reviewed venues.
  • Experience collaborating with industry partners is desirable.
Conditions of employment
  • Duration of contract: 2 years (temporary).
  • Position: 38‑40 hours per week.
  • Salary: €3 546 – €5 538 per month, in accordance with the Dutch Universities Collective Labour Agreement.
  • Benefits: pension scheme via ABP, flexible working week, 232 leave hours annually (plus buy/sell option), education and training opportunities, partially paid parental leave, health insurance discounts.

Final date to receive applications: 22 Jul 2026.

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