Postdoc position in Dynamical systems modelling and Control of Buildings, in the Section for Dynamical Systems, at DTU Compute, Technical University of Denmark
Deadline to Apply
May 08, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||– Dynamic Modelling |
– Control of Buildings
|Salary||According to standard norms|
|Workplace||Section for Dynamical Systems|
Technical University of Denmark
|Contract Period||2 Years|
|Starting date||June 1, 2021|
As a formal qualification, you must hold a PhD degree (or equivalent). Furthermore, good command of the English language is essential.
- 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;
Responsibilities/ Job Description
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;
How to Apply?
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.
- Application (cover letter)
- Academic Diplomas (MSc/PhD)
- List of publications
About 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.
About 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.
- 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
- If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.
Prof. Henrik Madsen
Tel.: +45 4525 3408.
Post expires at 8:59am on Sunday May 9th, 2021 (GMT+9)