Publisher
source

Aarhus University

PhD fellowship

PhD Fellowship in Informed Comfort: Natural-Language Interaction with Home Heating and Cooling Aarhus University in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University. Salary and terms of employment are in accordance with the applicable collective agreement. No stipend amount is stated.

Deadline

Nov 15, 2026

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Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Environmental Science
Psychology
Mechanical Engineering
Civil Engineering
Human-computer Interaction
Building Science
Energy Efficiency
Thermal Comfort
Large Language Models

Suggested scholarships

About this position

Graduate School of Technical Sciences at Aarhus University is advertising a PhD fellowship/scholarship in Civil and Architectural Engineering on the project Informed comfort: natural-language interaction with home heating and cooling.

The project combines building science, predictive control, large language models, natural-language interaction, thermal comfort, and energy-efficient heating and cooling. The research aims to build a natural-language interface between residents and a predictive controller so that occupants can report comfort, indicate when they are away, ask for temperature changes, and receive explanations of control actions, costs, and CO2 impacts.

Research activities include coupling the language model to the controller, running a climate chamber experiment on whether explanations change thermal acceptability, and carrying out a field study in occupied Danish homes across winter and summer. The project also explores occupancy-based control, personal comfort models, and energy sufficiency behaviors.

Eligibility: applicants must hold an M.Sc. in engineering, computer science, building science, or a related technical field. Applicants with a B.Sc. plus at least one year of master's studies may apply through the 4+4 programme. Programming ability, preferably in Python, and data analysis skills are required. Experience with model predictive control, optimisation, large language models, statistics, experimental design with people, or field measurements in buildings is an advantage. Comfort working with residents and installing equipment in homes is important; Danish is helpful but not required.

Funding: the post is a PhD fellowship/scholarship with salary and employment terms according to the applicable collective agreement. No stipend amount is stated.

Location: Department of Civil and Architectural Engineering, Aarhus University, Aarhus, Denmark.

Deadline: 15 November 2026 at 23:59 CET. Preferred start date: 01 January 2027.

How to apply: submit the application through the provided Research Planner portal link. The post also instructs applicants to upload a PDF project description by copying the project description text from the announcement.

Funding details

PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University. Salary and terms of employment are in accordance with the applicable collective agreement. No stipend amount is stated.

What's required

Applicants must hold an M.Sc. in engineering, computer science, building science, or a related technical field. Applicants with a B.Sc. plus at least one year of master's studies may apply through the 4+4 programme. Candidates should be able to program, preferably in Python, and be comfortable analysing data. Experience with model predictive control or optimisation, large language models, statistics and experimental design with people, and field measurements in buildings is an advantage. Applicants should be comfortable working with people because the field study involves installing equipment in homes and talking with residents. Danish is an advantage for field work but not required. Applicants from neighbouring fields with relevant technical skills and clear motivation are encouraged.

How to apply

Use the application link provided in the post to submit the application online. Upload the required project description as a PDF by copying the project description text from the post. Check the application guide for mandatory attachments and submit everything before the deadline.

More information can be found here

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