Postdoc on data-driven methods for building & district energy systems

Country: Switzerland;

City: Dübendorf

Vacancy added: 26.10.2018

Employer: Empa

Vacancy type: PostDoc vacancy;


Empa - the place where innovation starts
Empa is the research institute for materials science and technology of the ETH Domain and conducts cutting-edge research for the benefit of industry and the well-being of society.

The Urban Energy Systems Laboratory develops methods and tools to model, design and assess building and urban systems with focus on energy hubs, multi-energy grids, and integration of renewable energy and storage systems. To strengthen our scientific team we are looking for a

Postdoc on data-driven methods for building & district energy systems

We are looking for a candidate who is motivated to work on the development and application of data-driven methods for the planning and control of energy systems at building and district scale. The candidate will be tasked with developing a transferrable methodology for “algorithmic regulation and control” of buildings and districts, leveraging a combination of data-driven machine learning methods and physical system models. The developed methodology will be implemented, tested and validated in Empa’s building technologies demonstrator NEST ( The candidate will play a role in further developing Empa’s digital technologies demonstrator ( The candidate shall translate his/her research ideas into new research projects, in close collaboration with our interdisciplinary team and our external scientific and industry partners.


We are seeking a highly motivated and proactive candidate with a PhD in Mechanical, Civil or Electrical engineering (or related) and/or Data science. Candidates should have interdisciplinary knowledge in the field of building and energy systems, and experience with data-driven (i.e. machine learning) methods. A good research and publication record is essential. Additionally, experience with the development, acquisition and management of research projects is desirable. The candidate should be proficient in English; basic comprehension and oral skills in German are desirable.


We are offering a multifaceted and challenging position in a modern research environment with excellent infrastructure.


For further information about the position please contact Dr Andrew Bollinger and visit our websites and Empa-Video
We look forward to receiving your online application including a letter of motivation, CV, diplomas with transcripts and contact details of two referees. Please upload the requested documents through our webpage. Applications via email will not be considered.
Empa, Patricia Nitzsche, Human Resources, Ueberlandstrasse 129, 8600 Dübendorf, Switzerland.

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