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KTH Royal Institute of Technology

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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 flag

Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Environmental Science
Mechanical Engineering
Energy Efficiency
Building Physics
Thermal Comfort
Sustainable Construction
Optimisation
Cooling Systems

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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.

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