Postdoc on data-driven methods for building & district energy systems
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
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 firstname.lastname@example.org and visit our websites www.empa.ch/web/s313 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.