Postdoc in Tools for Reliable Energy Performance of Buildings

DTU Compute
Thursday 08 Jun 17

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DTU Compute’s Sections for Dynamical Systems, invite applications for a 2-year PostDoc position. The position is available as soon as possible or according to mutual agreement.

The project is partly financed by the Smart City Accelerator project (the SCA project) and partly by the Center for IT-intelligent Energy Systems in cities (the CITIES project). This PostDoc project is hosted and supervised by DTU Compute.

Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.

DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia.

DTU Compute plays a central role in education at all levels of the engineering programmes at DTU - both in terms of our scientific disciplines and our didactic innovation.   

Reliable building energy performance characterisation based on dynamic measurements
Several studies have shown that actual thermal performance of buildings may deviate significantly from that anticipated at design stage, and for renovation projects and in order to identify the true energy performance of buildings it is important to use time series data and statistical methods. Likewise it is important to establish statistical methods for estimating the comfort using indirect methods and a few sensors. One important example in the SCA project is the used of CO2 sensors. Further, it is important to build use the sensor data to build models suitable for control and optimized operation of the building to achieve an increased energy performance and use of the heating flexibility available in the building, this will allow better interplay with the surrounding energy system and facilitate more fluctuating renewable energy production in the system.

The purpose of this PostDoc project is to develop reliable tools for in situ dynamic testing, data-driven modelling that can be used to characterise the actual energy performance of buildings, its indoor climate and its heat dynamics. A special emphasis will be on how to use sensors (smart meters, and sensors for temperature, CO2, humidity, etc.) which either exist already or are rather easy to establish. The accuracy of the results will depend on occupancy behaviour, and consequently a part of the project is devoted to methods for understanding and modelling the influence of occupants.

The methods will be developed in conjunction with research in international projects such as within IEA’s Energy in Buildings and Communities Programme (EBC), in related European research (H2020), and standardization (CEN), and shall likely contribute to and influence such developments.

A priority will be given to rather simple techniques, which can be used without dedicated / extra sensors, and without special measurement campaigns. It is assumed that methods from linear and non-linear analysis of time series can be used.

Qualifications
Candidates must have a PhD-degree or equivalent in which energy data has been studied using methods for time series data analysis, Markov Chains, or system modelling. Preference will be given to candidates who also have knowledge in dynamical models for the thermal performance of buildings, and candidates with a knowledge in Phyton, R and Modelica. It is expected that the applicant will help with applications for funding, and hence some knowledge in writing applications is also important.

We offer
We offer an interesting and challenging job in an international environment focusing on education, research, scientific advice and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.  

Salary and terms of employment
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is two years.

The place of work will be at DTU Compute, Dynamical Systems section (Kgs. Lyngby, Denmark).

Further information
Further information may be obtained from Professor Henrik Madsen, hmad@dtu.dk, or Assistant Professor Peder Bacher, pbac@dtu.dk.    

You can read more about DTU Compute on www.compute.dtu.dk/english

Application procedure
Please submit your online application no later than June 23, 2017. Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one PDF file. The file must include: 

  • Application (cover letter)
  • CV
  • Diploma (MSc/PhD)
  • List of publications

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.   

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,600 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.