Today Linked Open Data (LOD) is researched in many different domains as a methodology that support interoperability between partners in a building project. To disclose collected data for the public, internationally LOD is promoted by the BuildingSmart (http://buildingsmart.org/) community striving to standardize protocols, exchange formats, data structures, etc. One of the most important standards relevant for this project is IFC4 (Industry Foundation Classes), ISO 16739, which includes a comprehensive schema and file format for Building Information (BIM) data. Initially, this format was developed to support interoperability within building projects, but lately, it is also used to develop building models as part of (smart) city models. The smart buildings/cities are developing rapidly with streaming data sets from other sources such as (CO2, temperature, etc.) sensor data, telecom network data, GPS data, camera recordings data, etc. Unfortunately, the provision of these data sets is significantly fragmented due to a lack of coordination, standardization, privacy issues, harmonization issues, consolidation issues, etc.
In this PDEng project, you are going to develop a decision support system (interlink with other PDEng projects and PhD projects) based on linked data:
Recognize the functional and non-functional requirements
Derive functional and non-functional requirements from a desired future vision dealing with the society. Take social system as the departure point to capture the future vision. The designed linked data network should encompass all related consequences, the emergent properties of the network in an integral systemic way. It will serve as important inputs for the monitoring tool and decision support system development.
Monitoring tool based on linked building data
Develop a tool (web application, smartphone app) that gives real-time insight into a building or a neighborhood's performance. Various KPI’s could be used, such as:
The tool should be easy to use and monitor a building/neighborhood without any in-depth knowledge from linked data. Already existing tools (such as the IFC-to-RDF converter) and existing ontologies (such as BOT and BOP) could be integrated to ease the process of uploading a project. The latest developed CityGML could also be used for the development.
A decision support system based on linked data
Develop a tool supporting decision-making processes during the operational phase of a building/neighborhood, using semantic web technologies. A real-time connection between a graph database, a time-series database, and a building's control system should be made. Algorithms will be developed to control buildings' processes using the linked building data, sensor data, and other available information. Processes that could be automated will, for example, HVAC, Lighting system and Appliances.
PDEng program general description
The Department of the Built Environment of the Eindhoven University of Technology offers you a trainee position to follow a two-year post-master technological designer program, which leads to the degree of ‘Professional Doctorate in Engineering’ (PDEng). The SBC program consists of two main parts:
A significant part of the first year of the program is dedicated to the workshops, while the second year is mostly dedicated to the in-company assignment. Nonetheless, you will start working on the in-company assignment from the start of the program.
Smart Buildings & Cities PDEng program
The Smart Buildings & Cities 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 that can only be created through multiscale and transdisciplinary (design) approaches. The transition is a relevant theme for society (as reflected by the Horizon 2020 Societal Challenges formulated by the European Commission), building industry and university (consider the TU/e’s Strategic Areas: Energy, Health and Smart Mobility and the TU/e’s Smart Cities Program).
This requires technical designers who are able to work in a multidisciplinary environment and know how to communicate with different disciplines and stakeholders. 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 technological design, this in contrast to (PhD) research, which is the process of understanding problems.
After the two year program, our trainees become technical designers with a broad technical understanding of smart cities and related disciplines in the built environment (mechanical engineering, electrical engineering, building physics and services and ICT), who excel in their own discipline and who are able to work in multidisciplinary design teams, contribute to designing issues outside their own core disciplines, integrate different technologies into new products and concepts, and who understand the commercial aspects of these innovative products and concepts.
We are looking for
Do you recognize yourself in this profile and would you like to know more? Please contact
dr. D. Yang, d.yang[at]tue.nl.
For information about terms of employment, click here or contact HRServices.be[at]tue.nl
Please visit www.tue.nl/jobs to find out more about working at TU/e!
How to apply?
We would like to receive the following five documents (in Pdf format):
Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.
The application deadline for this position is May 30, 2021. After this deadline, the high potential candidates will be shortlisted. These candidates will be invited for a second selection round. In this second round the candidates are requested to send a small assignment (max. 2-3 pages). After this round, the most promising candidates are invited for an interview with a selection committee. The invited candidates will be asked to prepare a short presentation motivating their interest in the program. After all interviews are conducted the selection committee will decide who will be offered the trainee position.
Our aim is to inform the candidate of our final decision no later than 15 July 2021.
For more information on the program and our contact information, please check our website.