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PhD Vacancies – Civil Engineering, Future Smart Building, Energy Systems

KTH Royal Institute of Technology


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Nov 1, 2021 23:59 (GMT +1)

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School of Architecture and Built Environment at KTH Royal Institute of Technology in Stockholm invites applications for the position of Doctoral Student (PhD Vacancies) in data-driven and optimal control of future smart building and energy systems (#Civil Engineering Jobs)

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General Info

Position: Doctoral
No. of Positions: 1
Research Field: ,
Deadline to Apply: November 1, 2021(GMT +1)
Joining Date: Nov 01, 2021
Contract Period: 4 Years
Salary: According to Standard Norms

School of Architecture and Built Environment
Department of Civil and Architectural Engineering
KTH Royal Institute of Technology

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Qualification Details

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

  • passed a second cycle degree (for example a master's degree) in relevant fields such as mechanical, electrical, energy och control engineering,
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge
  • knowledge in both thermal and power grid modeling

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here


In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

  • independently pursue his or her work
  • collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.


  • Strong skills in control and evaluation of energy efficiency in buildings, including their components and systems
  • Good skills and proficiency in the use of current state-of-the-art machine learning frameworks, such as Python, Tensorflow, scikit-learn etc, for developing ML applications
  • Experience working with energy simulation environments is a strong plus, such as Trnsys, Dymola, Modelica etc
  • Proficiency in Swedish, both spoken and written, are highly desirable

After the qualification requirements, great emphasis will be placed on personal competency.

Target degree: Licentiate degree

Responsibilities/Job Description

You will perform dynamic simulations of energy operation (both thermal and power), as well as testing the developed ML methods/control solutions in multiple live-in-labs across Europe. You will work closely with a large number of industry partners and other researchers to manage project deliverables. Additionally, you will be also expected to perform limited percentages of department duties, i.e., teaching, supervisions of thesis students, etc

Supervision: The doctoral student will be supervised by Dr Annika Gram and Dr Qian Wang

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: A-2021-1548
(If any, use it in the necessary place)

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Documents Required

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).

Applications must include the following elements:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
  • Abstract of MSc thesis

About the Project

Third-cycle subject: Civil and Architectural Engineering, Building Technology

In the transition toward low-energy buildings and the 5th generation of district heating, using data-driven approaches to integrate decentralized renewables with optimal control will play a vital role. You will join an exciting research team and interdisciplinary EU project to develop and apply machine learning (ML) techniques, novel system control and optimization methods to integrate/operate various decentralized renewable systems in the 4th-5th generation of district heating and building HVAC systems.

About the Employer: KTH Royal Institute of Technology


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Contact details

  • Annika Gram, Head of department, E-mail:
  • Qian Wang, Dr and Researcher, E-mail:

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Union representatives

You will find contact information for union representatives on KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section's website.

Advertisement Details: Doctoral student (Licentiate) in Building Technology

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