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Postdoc Human-Centred Thermal Comfort and Machine Learning for Electric Vehicles
Job description
The Intelligent Vehicles (IV) group* at TU Delft aims to increase the safety, comfort and sustainability of transportation by means of automated driving. The group conducts problem-driven research within the interdisciplinary spectrum of machine perception, dynamics and control, and human factors.
* Website: intelligent-vehicles.org, YouTube: youtube.com/c/IntelligentVehiclesatTUDelft
We are seeking a highly motivated researcher to contribute to the development of next-generation thermal comfort technologies for Battery Electric Vehicles. The successful candidate will develop advanced thermal comfort metrics by combining physiological measurements, subjective user feedback, and environmental data. The research will involve machine learning, human-centred experimentation, real-time comfort prediction, and the integration of intelligent climate control systems into vehicle platforms. The position includes the design and execution of simulator-based studies, development of predictive comfort models, and validation of thermal comfort solutions using diverse participant groups.
This position is part of an ongoing EU project AETHER (Advanced Thermal Comfort and Energy Management for Personalized, Efficient and Weather-Aware Electric Vehicle Operation) involving several partners from the automotive industry and from research institutions across Europe.
The candidate will:
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 prediction 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.
Within AETHER the candidate will collaborate with industrial and academic partners focusing on thermal comfort modelling and assessment.
Within TU Delft, the candidate will join a multidisciplinary team working on comfort modelling, and evaluation.
Job requirements
The candidate will:
Design, conduct, and analyse human-subject experiments involving diverse participant groups.
Analyse physiological signals including skin temperature, skin conductance, heart rate, and wearable sensor data.
Develop and validate advanced thermal comfort metrics using multimodal physiological, environmental, and subjective assessment targeting high prediction accuracy using a dynamic driving simulator and real-world operating conditions.
Design and implement machine learning algorithms for real-time prediction of occupant thermal comfort.
Integrate thermal comfort models into vehicle climate control systems for adaptive heating, cooling, and ventilation strategies.
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.
Within AETHER the candidate will collaborate with industrial and academic partners focusing on thermal comfort modelling and assessment.
We are looking for participants with the best match in the above requirements, but not explicitly requiring all of them.
Within TU Delft, the candidate will join a multidisciplinary team working on comfort modelling, and evaluation.
TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.
For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.
These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.
At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.
Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.
Faculty Mechanical Engineering
From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.
ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.
. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.
Conditions of employment
Duration of contract is 2 years Temporary
A job of 38-40 hours per week.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
An excellent pension scheme via the ABP.
The possibility to compile an individual employment package every year.
Discount with health insurers on supplemental packages.
Flexible working week.
Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
Plenty of opportunities for education, training and courses.
Partially paid parental leave
Attention for working healthy and energetically with the vitality program.
Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.
Living conditions in the Netherlands (e.g. Delft, Hague, Amsterdam) are considered to be among the very best in Europe. The TU Delft scores consistently high in international comparisons (e.g. within top 15 in QS World Univ. Rankings 2023 in Engineering & Technology).
Additional information
If you would like more information about this position, please contact: Dr. B. Shyrokau (email:
[email protected]) and Dr. G. Papaioannou (email:
[email protected]).
Application procedure
Are you interested in this vacancy? Please apply no later than 22 July 2026 upload the following documents:
A motivation letter
CV transcripts of graduate-level courses (M.S. and Ph.D.)
A publication list links to the Ph.D. Thesis (draft) and to three main publications a research statement
If the applicants are selected for an interview, they will be asked to provide the contact details of three references with their consent.
All these items should be combined in one PDF document.
You can address your application to .
Please note:
You can apply online. We will not process applications sent by email and/or post.
As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security.
Please do not contact us for unsolicited services.
Faculty/Department: Faculty of Mechanical Engineering
Salary range: €3546 - €5538
Submission is possible until: 22 Jul 2026
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