Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
KTH Royal Institute of Technology
Top university
3 days ago
PhD Position in Energy-Efficient Cooling and Overheating Mitigation for Elderly Care Homes KTH Royal Institute of Technology in Sweden
Degree Level
PhD
Field of study
Environmental Science
Funding
Available
Deadline
Dec 4, 2026
Country
Sweden
University
KTH Royal Institute of Technology
Apply for this position
Keywords
Suggested positions
About this position
KTH Royal Institute of Technology is seeking a doctoral student for a research project on energy-efficient cooling and overheating mitigation in elderly care homes in Stockholm, Sweden.
The project addresses the challenge of maintaining thermal comfort and safe indoor conditions for elderly residents while improving the energy efficiency of building cooling systems. The research is especially relevant to HVAC design, building energy systems, building physics, sustainable buildings, and the optimization of cooling strategies.
The doctoral researcher will work with building simulation and potentially experimental measurements to investigate how care-home environments can be managed under overheating conditions. Relevant technical approaches include simulation with IDA ICE, TRNSYS, or EnergyPlus, programming in Python or MATLAB, measurements, and optimization. The work combines applied building energy analysis with thermal comfort and energy-efficient cooling research.
The position offers an opportunity to contribute to research with direct relevance to healthier and more sustainable elderly care environments, bringing together building performance, HVAC systems, thermal comfort, and climate-responsive mitigation strategies.
Funding details
Available
What's required
Applicants should have a strong background in HVAC design, building energy systems, and thermal comfort. Preferred experience includes building simulation using IDA ICE, TRNSYS, or EnergyPlus; programming in Python or MATLAB; measurements; and optimization. Applicants should include the title of their master's thesis and any published work in their CV, and should not attach full research papers or master's theses.
How to apply
Apply only through the official application link. Do not send applications by email or LinkedIn direct message. Include the title of your master's thesis and any published work in your CV, and do not attach full research papers or master's theses.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.