PhD Position on Digital twins and sensing for heat stress prediction for human health
Vor 3 Tagen
PhD Position on Digital twins and sensing for heat stress prediction for human health
Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain.
Empa's Laboratory of Biomimetic Membranes and Textiles pioneers in human manikin research and physics-based modeling at multiple scales. We bridge the virtual to the real world by multi-parameter sensing and creating digital twins that can live together with their real-world counterparts.
Knowledge of heat stress is essential for the health and performance of humans in several situations. A typical example is firefighters, who are exposed to extreme heat or elderly people who are exposed to heat stress during heat waves. Such knowledge can help improve clothing design or indoor air conditioning strategies. Currently, we rely at Empa on the use of thermal manikins that have multiple sensors installed to predict heat stress in several environments and to evaluate the impact of clothing.Your tasksThis PhD project aims to advance further in the field of heat stress prediction by combining sensing with textile-integrated physical sensors and complementing this with virtual sensing through digital human twins. That way, we want to augment our knowledge of the spatially and temporally caring heat load on the human body. The results of this work will be used by the textile or HVAC industry. This project is performed in close collaboration with industrial partners.
The tasks for the PhD student will be:
- Develop and test a textile-based heat flux sensor for measurements in thermal manikins.
- Build a multiphysics model of the environment, clothing and skin (and body), including convection, radiation and conduction in materials. Specific models for skin burn, heat stress and also for clothing aging for end-of-life modeling are included.
- Integrate this model into a digital twin of the human to predict the risk of skin burn or heat stress prediction. You use the input of one or a few textile-based heat flux sensors to have a prediction of more locations on the full human body.
- Integrate the model into a digital twin of the clothing to predict the end-of-life of clothing for firefighters.
- Completed Master`s degree in mechanical engineering
- Demonstrated expert knowledge of the software COMSOL Multiphysics is essential
- Proven experience in continuum modeling (finite element modeling, computational fluid dynamics).
- Knowledge of heat and mass transport processes in materials and the human-body interface.
- Experience in thermal measurements (temperature, heat flux, infrared, anemometry).
- Excellent communication skills and fluency in English (both written and oral) are mandatory. Knowledge of German is considered advantageous.
We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities - that's what counts.
We look forward to receiving your complete online application including a letter of motivation, CV, certificates, diplomas and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered.SarahStüdli,
Bereichspersonalleiterin / HR PartnerQuestions?
Prof. Dr.ThijsDefraeyethijs.defraeye@empa.ch
Group leader
Biomimetic Membranes and Textiles
Your future place of workEmpa
Lerchenfeldstrasse 5
9014St. Gallen
Empa as an employer Innovative, sustainable, meaningful activities
Creating added value for society
International, multicultural working environment
Freedom to create and develop
Culture of inclusion and respect
Excellent balance between different areas of life
Multiple award-winning and certified employer
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