SBC PDEng program
The SBC PDEng program wants to contribute to the transition towards smart, intelligent and sustainable cities where quality of life is high. This transition requires new solutions which can only be created through multiscale and transdisciplinary (design) approaches. This requires technical designers who are able to work in a multidisciplinary environment and know how to communicate with different disciplines and stake holders. This PDEng program educates trainees to become those technical designers! Please note that this program is about technological design, i.e., the process of solving problems by means of a technological design, this in contrast to (PhD) research, which is the process of understanding problems. For more information on the SBC program contact dr. L. Hensen Centnerová, email; L.Hensen [at]tue.nl Job description
The two-year post-master technological designer program leads to the degree of 'Professional Doctorate in Engineering' (PDEng). The program consists of two main parts running in parallel:
- Half of the program consists of post-master level education in the form of generic design projects and courses about design methods, entrepreneurship, professional skills and several technical courses about topics relevant to the design project.
- The other half of the program is dedicated to an individual design project in collaboration with a company. It is the main responsibility of the trainee to manage and execute the project. The trainee is supported by an advisor from the company and an advisor from the university.
The company design project is about energy and maintenance optimization using the 'big-data' from the BMS systems. Companies need knowledge of machine learning algorithms and systems engineering, which they generally don't have. There is a body of knowledge developed nationally and internationally by research institutes and a few expert companies in the field of data-driven methods (e.g. energy signatures, grey-box models, machine learning), but this body of knowledge is only scarcely finding its way to the building services industry. Tools need be developed for energy diagnoses services, on-line remote control and management, just in time maintenance for feedback to the design departments/companies. Objective of the PDEng assignment is to design and implement a smart data control strategy based on model based approaches as well as on a Big Data machine learning approaches. The PDEng trainee will be embedded in the Building Services group. For questions about the project contact prof.ir
. Wim Zeiler