Postdoc in Modelling and Control of Buildings for Flexibility Provision

Updated: about 2 months ago

DTU Compute invites applicants for a 2 year postdoc in dynamical modelling and control of buildings. If you set ambitious goals for your own research and have a great personal interest in developing data-driven models of buildings and of their engineering system, as well as on the development of control algorithms with particular consideration for varying energy prices and occupant behaviour this might be your next job.

As a colleague in the Section for Dynamical Systems you will be part of an ambitious research group.

The university is located in the greater Copenhagen area, which is acknowledged for its excellent standards of living, childcare and welfare system.

Responsibilities and qualifications
The research in our Section for Dynamical Systems exploits methods to maximise both the use of renewable energy sources in buildings and the occupants’ comfort, through the control of HVAC systems, by predicting the buildings’ performance using dynamical models, and especially grey box- models in the form of stochastic differential equations. Furthermore, the research includes the development of mathematical models for controlling the buildings according to weather forecast data, in-situ generation of renewable energy (PV, local wind turbines), and energy price signals.

You will be responsible for conducting research activities related to the formulation of data-driven models for intelligent energy management of buildings and districts, at the Dynamical Systems Section. Specific responsibilities and tasks will include the following:

  • You will produce dynamical models of the thermal characteristics of buildings and neighbourhoods;
  • You will produce dynamical models for the heating, cooling, and ventilation systems of buildings, as well as models of the system for the production of domestic hot water;
  • You will implement occupant behaviour models in the dynamical building models and neighbourhoods;
  • You will develop controllers of buildings, that are able to exploit the full potential of renewable energies, at a neighbourhood level, without compromising on comfort conditions, using the data-driven dynamical models of the buildings that you designed and developed;
  • You will investigate the flexibility potential of buildings, for the maximisation of the use of renewable energy;
  • In collaboration with your colleagues, you will engage in project management activities and funding applications related to your field of research;
  • You will work in close collaboration with academic and industry partners, as well as with municipalities;
  • You will support education and innovation activities;
  • You will contribute to supervision of bachelor, master and PhD students;

As a formal qualification, you must hold a PhD degree (or equivalent). Furthermore, good command of the English language is essential.

More specifically, you should have the following qualifications:

  • Experience with modelling complex, multi-domain systems, preferably in the field of thermal performance of buildings, and buildings’ heating and ventilation;
  • Experience with data-driven mathematical and stochastic modelling (e.g., one of more of the following: grey-box modelling, black-box modelling, control algorithms, machine learning, logistic regression analysis, mixed effect models, Markov chains and hidden Markov chains), preferably in the field of buildings;
  • Preferebly, experience with model predictive control
  • Preferably, experience in the field of demand side management;
  • Preferably, experience with statistics, grey-box modelling, stochastic differential equations or Kalman filter;

Both individual and team accomplishments motivate you and you believe in dialogue and feedback as the best foundation for sound decision-making.

Flexibility and self-motivation are desired skills and we expect you to be interested in collaboration and to take personal responsibility for your work.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years. Expected starting date is 1 June 2021 (or according to mutual agreement).

You can read more about career paths at DTU here

Further information
Further information may be obtained from Henrik Madsen, email: hmad@dtu.dk , tel.: +45 4525 3408.

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

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark

Application procedure
Your complete online application must be submitted no later than8 May 2021 (Danish time)Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

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

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

Section for Dynamical Systems
The Dynamical Systems section conducts fundamental, advanced, strategic and applied research in the area of dynamical systems. This involves both deterministic and stochastic systems, discrete and continuous systems, deductive and inductive model building, forecasting and descriptions, as well as control and optimization. We do research in both deterministic and stochastic systems within a range of applications. The main themes are energy, smart cities, medicine, and biology.

DTU Compute
DTU Compute is a unique and internationally recognized academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard—producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.


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