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Postdoc in “Innovative approaches for controlling indoor environments and building systems”

**Job Description**
DTU Sustain invites applications for a Postdoc position focused on developing innovative control strategies for improving comfort and energy performance of buildings and HVAC systems. The role involves identifying limitations of current building control practices and developing optimized strategies for conventional HVAC systems using existing thermal comfort models, as well as new controls for advanced Personalized Environmental Control Systems (PECS), including wearable heating and cooling. This work will incorporate statistical modelling, data-driven modelling, dynamic building simulations, climate chamber experiments, and field studies.

**Skills & Abilities**
• Ability to work independently, plan, and execute complicated and challenging tasks.
• Flexible, self-motivated, interested in collaboration, and takes personal responsibility for work.
• Fluent in spoken and written English.

**Qualifications**
Required Degree(s):
• Ph.D. (or equivalent)

**Experience**
Experience Required:
• Experience in building and HVAC control systems.
• Experience in evaluating indoor environmental quality and HVAC system performance by means of measurements in climate chambers and in buildings.
• Experience with dynamic building simulation tools for indoor environment and energy performance assessment of buildings (experience in using TRNSYS or IDA ICE is an advantage).
• Previous research experience in statistical analysis, data-driven modelling, and machine learning for indoor environment and building applications is an advantage.
• Previous research experience in carrying out experiments with human participants is an advantage.

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Experience
Experience Required: • Experience in building and HVAC control systems. • Experience in evaluating indoor environmental quality and HVAC system performance by means of measurements in climate chambers and in buildings. • Experience with dynamic building simulation tools for indoor environment and energy performance assessment of buildings (experience in using TRNSYS or IDA ICE is an advantage). • Previous research experience in statistical analysis, data-driven modelling, and machine learning for indoor environment and building applications is an advantage. • Previous research experience in carrying out experiments with human participants is an advantage.
Work Level
Postdoc
Employment Type
Full-time, Research Job, Temporary
Salary
Position Classification: Based on the collective agreement with the Danish Confederation of Professional Associations.
Valid Until
September 16, 2025
Details
Full-time / Temporary Duration: 2 years
School / Department / Center / Lab
• Department of Environmental and Resource Engineering (DTU Sustain) • Section for Indoor Environment
Supervisor(s)
Prof. Jørn Toftum Assoc. Prof. Ongun Berk Kazanci
Supervisor Email
jort@dtu.dk ongun@dtu.dk
Technical University of Denmark
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