Developments in the field of IT make it possible to connect more and more devices (Sensors, Vehicles, buildings, Humans, etc.) to each other via new generation networks. We are confronted with the problem of extracting useful information from all that accumulated data. In other words, mining for knowledge can be quite complicated due to a lack of structure and “richness” of, and between, different data sources. The development of AVs is facing the same problem that it lacks the data integration in the physical infrastructure into a digital representation of the whole traffic ecosystem on a data model level.
Taking into account the complexity of computations that AI algorithms for self-driving vehicles have, due to a great amount of sensory inputs and limitations of hardware in CAVs in terms of processing power, external inputs, from V2V and V2I communication, there is a need to develop a linked data model which requires minimum processing, and therefore minimal computational resources. Only in this case, the information provided by various sources will, indeed, be vehicle-friendly. This would be especially important within urban environments, where traffic density is greatest. Considering the trends of electricizing vehicles, future AVs will reshape the energy consumption within the city. With the attention of energy and environmental concerns in urban areas, it is necessary to enable such a linked data model to enable the possibility of valuable information extraction.
The challenge regarding developing such a model is that data is being streamed from different domains such as transportation, geographic information, energy grid, and buildings. In this project, the PDEng will explore
Work on developing the proposed model(s) would have two conceptually separate parts:
This PDEng position will tackle the challenge of developing such a digital twin model based on semantic web technology in electric AVs usage, PRC/IoT interactions with infrastructure/smart homes, and ontology/analytics needs. The project is a part of an integrated smart cities digital twin solution. The developed platform's goal is to enable the integration of data from (autonomous) vehicles, IoT devices, and built environments. Based on the linked urban data, we expect to find new opportunities to develop predictive and control models that can be used in mobility-related services in smart cities.
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.