We are recruiting up to three PhD students in Energy Technology with specialization in Energy Efficiency in Buildings. The position will open on February 1, 2021 (exact starting date can be negotiated).
The development of a long-term secure energy supply is one of the global society's biggest challenges. In that context, reducing the climate impact from the building sector has large impact. The scope for this call for new PhD students meets that challenge by targeting novel opportunities to propose, implement and evaluate strategies for increased building energy performance. This emphasizes deeper understanding of the impacts of alternative measures and strategies, especially how they may change spatially and temporally under climate change. Important perspectives for further investigation include research on how big-data together with machine learning can be used to evaluate energy savings and emission reductions. Building Information Modelling (BIM) are also included, as well as building construction process simulations, in order to achieve a smart and sustainable built environment.
The applicant should have a Master of Science degree in energy technologies, construction engineering and management, statistics and data science, machine learning or equivalent qualifications. Prerequisites to be admitted to the postgraduate education include 240 ECTS credits of higher education studies, of which 60 ECTS credits should be on an advanced (master) level.
In addition to these general requirements, the applicant is required to have completed at least 120 ECTS credits in the fields of energy technologies, construction engineering and management, statistics and data science or other subjects directly relevant to the research. Applicants who in some other system, either within Sweden or abroad, have acquired largely equivalent knowledge are also eligible. The requirements must be fulfilled at the time of admission to postgraduate education and need not be met at the time of application.
As a PhD student, the applicant should have the ability to work systematically, thoroughly and independently, as well as in collaboration with others. Further, the applicant must be familiar with theoretical engineering science tools and have good working knowledge of the research area. The planned work requires an analytical and creative mind. The applicant should be Proficient user in both oral and written English. Courses and documented experience of working with simulations and statistical methods, big-data, machine learning, BIM and urban energy modelling are important merits.
Terms of employment
The employment is expected to result in a doctoral degree and the main assignment for the doctoral student is thus to be active in research, study doctoral courses, and possibly participate in teaching of courses at undergraduate level. The employment is limited to four years at full time or up to five years if teaching or other departmental work (max 20 %) is performed. The salary is fixed according to the established salary level for doctoral students at the Faculty of Science and Technology, Umeå University.
The selection will be based on the following criteria:
Your application should include the following:
The application, including attached documents, must be written in English or Swedish. The application must be submitted no later than December 18th 2020 via Umeå University’s e- recruitment system Varbi.
For more information contact
Professor Weizhuo Lu, +46 73 836 9536, firstname.lastname@example.org or
Professor Thomas Olofsson, +46 90-786 67 10, email@example.com or
Associate Professor Gireesh Nair, +46 90 786 88 04, firstname.lastname@example.org
We look forward to receiving your application!
2021-02-01 or as agreed
073-836 95 36
090-786 88 04
090-786 53 65
090-786 52 96
090-786 54 31