Research engineer in energy technology – Energy efficiency in buildings

Updated: 2 months ago

Umeå University is one of Sweden’s largest institutions of higher education with over 37,000 students and 4,800 faculty and staff. We are characterised by world-leading research in several scientific fields and a multitude of educations ranked highly in international comparison. Umeå University is also the site of the pioneering discovery of the CRISPR-Cas9 genetic scissors - a revolution in genetic engineering that has been awarded the Nobel Prize in Chemistry.

At Umeå University, everything is nearby. Our cohesive campus environment makes it easy to meet, collaborate and exchange knowledge, which promotes a dynamic and open culture where we rejoice in each other's successes.

Are you interested in knowing more about Umeå University as a workplace read more at: Work with us.

The Department of Applied Physics and Electronics currently has around 100 employees and conducts research in areas such as energy technology, laser spectroscopy, medical technology and electronics and systems technology. For more information visit:

We are now looking for a research engineer in energy technology with a focus on energy efficiency in buildings. The employment is full-time and is time-limited to 5 months, entry 2023-01-01 or as agreed. The application deadline is 2022-11-25.

Project description
Energy-efficient technical measures are not a guarantee for efficient energy use in buildings, the fact is that energy-related resident behaviors also have a significant impact on the building's energy performance. There is much evidence that significant energy savings can be achieved with resident-centred energy efficiency. The project will explore how built environments should be more interactive and user-centered, such as discovering relationships between built properties and user behavior, which has implications for the building's design, operation and renovation.

Job duties
The purpose of the employment is to investigate how data analysis together with machine learning can be used to evaluate opportunities for energy savings and emission reduction of retrofitting measures during renovations of various scopes.

More specifically, the holder of this employment must:

  • Develop and demonstrate a method to evaluate energy use and greenhouse gas emissions from a life cycle perspective for building renovation based on representative case studies;
  • Project emission sources for building stock and
  • Quantify the robustness of renovation measures and strategies under different climate change scenarios and alternative local perspectives.
  • Competency requirements
    You should have a civil engineering degree or a master's degree in one of the fields of computer science, artificial intelligence, mathematical statistics, road and water, energy technology or equivalent. Good communication skills in English, both spoken and written, are required as the project's results are to be communicated internationally. You have a good ability to work systematically, thoroughly and independently as well as to cooperate with others.

    The application must consist of the following documents:

    • Personal letter with a brief description of yourself, a justification for why you are applying for the job and your contact details
    • Curriculum vitae (CV)
    • Copies of relevant diplomas and any certificates

    You apply via our recruitment system Varbi, log in and search via the button at the bottom of the page. The application must be submitted no later than 2022-11-25.

    Further information is provided by Professor Thomas Olofsson, tel. 090-786 67 10,

    e-post: eller professor Weizhuo Lu,090-786 62 57,


    Welcome with your application!

    View or Apply

    Similar Positions