EngD position on Digital Twin for Sustainable construction sites and logistics
EngD position on Digital Twin for Sustainable construction sites and logistics
Job description
The University of Twente is seeking an EngD candidate to develop an innovative integrated smart and sustainable system for the construction sector by leveraging Digital Twin and IoT technologies.
As a doctoral candidate, you will work on developing a Carbon Digital Twin that uses data-driven insights and advanced AI techniques to optimize resources and minimize the carbon footprint of construction operations.
Multiple doctoral candidate positions are available, with a focus on one of the following areas:
You will work in close collaboration with companies, defining design requirements and working on a Carbon Digital Twin model for environmental footprint modeling and simulation. The overall goal is to develop a prototype demonstrating the potential for anticipatory disruption management, opening new avenues for improving operational efficiency and lowering emission and energy consumption. The knowledge and experience gained from this position will place you at the forefront of sustainable construction research and technology. This project is a collaboration between the Department of Pervasive Systems (EEMCS faculty) jointly with the Department of Industrial Engineering and Business Information Systems (BMS faculty) at the University of Twente.
The challenge
As a doctoral candidate, you will work on developing a Carbon Digital Twin that uses data-driven insights and advanced AI techniques to optimize resources and minimize the carbon footprint of construction operations.
Multiple doctoral candidate positions are available, with a focus on one of the following areas:
- Digital Twin architecture: develop an architectural blueprint for a smart construction site and a Carbon Digital Twin that can manage disruptions in real time. A data platform should enable integration between different data sources and services, rapidly detecting disruptions and anomalies.
- Data analysis: create a dynamic (sensor) monitoring and analytics system that can anticipate logistics disruptions and adjust execution in real time to achieve better efficiency and lower emissions. Advanced AI techniques (e.g., computer vision and machine learning), and Digital Twin technology can be used to enable anticipatory and adaptive logistics planning.
You will work in close collaboration with companies, defining design requirements and working on a Carbon Digital Twin model for environmental footprint modeling and simulation. The overall goal is to develop a prototype demonstrating the potential for anticipatory disruption management, opening new avenues for improving operational efficiency and lowering emission and energy consumption. The knowledge and experience gained from this position will place you at the forefront of sustainable construction research and technology. This project is a collaboration between the Department of Pervasive Systems (EEMCS faculty) jointly with the Department of Industrial Engineering and Business Information Systems (BMS faculty) at the University of Twente.
The challenge
- Collaborate closely with our industrial partners, defining design requirements and pushing the boundaries of sustainable construction supply chain solutions
- Pioneer the development of a Carbon Digital Twin model for disruption management, driven by the transformation of IoT and AI technology
- Create prototypes that showcase the potential for increasing efficiency while reducing emissions and energy consumption, surpassing current practices
- Empower the world with smart services for monitoring and reducing carbon emissions from construction sites, charting a path towards a more sustainable and self-reliant future.
Specifications
- max. 40 hours per week
- max. €2618 per month
- Enschede View on Google Maps
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University of Twente (UT)
Requirements
We are seeking a motivated and visionary EngD candidate to join our team in addressing the critical challenge of minimizing the environmental footprint while optimizing operations. In this unique position, you will play a key role in developing innovative designs and prototypes that contribute to more efficient construction sites.
Two types of positions are available in this project, EngD and PhD. EngD is a practical-oriented professional doctorate in engineering which is suited to the direct needs of industry and takes two years to complete, whereas a PhD track focuses on scientific research, and takes 4 years to complete. For the EngD position, we are looking for:
If a PhD suits you more, then please have a look at the other vacancy available within this project through this link.
Two types of positions are available in this project, EngD and PhD. EngD is a practical-oriented professional doctorate in engineering which is suited to the direct needs of industry and takes two years to complete, whereas a PhD track focuses on scientific research, and takes 4 years to complete. For the EngD position, we are looking for:
- Enthusiastic and ambitious colleagues who are passionate about sustainability, logistics, and/or construction/built environment;
- You have a Master’s degree in the field of Computer Science, Embedded Systems, Business & IT, or related discipline with a proven affinity for multidisciplinary assignments;
- You have experience in relevant areas such as signal processing, computer vision, embedded systems, data analysis, machine learning and deep learning.
- You have a good command of English (C1; above IELTS 7 or equivalent)
- Candidates should be interested in solving analytical tasks and developing prototypes, combined with intermediate programming skills (e.g., in Python or C-something)
- A high degree of responsibility and independence is expected, while collaboration with close colleagues, researchers, and other university staff is strongly encouraged;
- Moreover, we are looking for a strong personality to defend your ideas not only at university but also in an industrial context.
If a PhD suits you more, then please have a look at the other vacancy available within this project through this link.
Conditions of employment
- We offer a very challenging position for two years in an inspiring multidisciplinary and international environment. We offer a tailor-made post-master design programme that has an educational component (~50%) as well as a design project (~50%).
- Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU).
- You will receive a gross monthly salary of €2.618,- per month.
- There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.
- On successfully completing the programme, you will receive a certified degree. You will be entitled to use the academic degree EngD and will be registered as a Technological Designer in the Dutch register kept by the Royal Institution of Engineers in the Netherlands (KIVI).
Department
The Pervasive Systems research group is a global pioneer in research and innovation in pervasive computing systems. We foresee a future in which the physical and virtual/digital worlds will intertwine, and that will be founded on data, connectivity, and intelligence. Seamless integration of computing with the physical world via sensors and actuators and computing systems can lead to a sustainable world.
Our mission is to deliver fundamental smart sensing solutions for practical problems to provide society with higher living standards, greater safety, more comfort, and efficiency in a sustainable world. This can be reflected in relevant application areas including smart mobility, health care, sports, biodiversity and environmental monitoring.
We develop groundbreaking innovative and smart sensing solutions in several application domains that can have an impact on society. The combination of our leadership in smart sensing systems, wireless networking technologies, embedded AI and computer vision expertise is what makes us unique.
Our mission is to deliver fundamental smart sensing solutions for practical problems to provide society with higher living standards, greater safety, more comfort, and efficiency in a sustainable world. This can be reflected in relevant application areas including smart mobility, health care, sports, biodiversity and environmental monitoring.
We develop groundbreaking innovative and smart sensing solutions in several application domains that can have an impact on society. The combination of our leadership in smart sensing systems, wireless networking technologies, embedded AI and computer vision expertise is what makes us unique.
Additional information
Are you interested after reading about this vacancy? Applications for this position will be reviewed on a rolling horizon. The vacancy will remain open until we identify and onboard suitable candidates. Early applications are encouraged as positions may be filled before the vacancy's official closure. You can apply for these positions before January 6th, 2023, by clicking the ‘apply now’ button below. Please include:
For further information about this position, please contact ir. R.H. Bemthuis, r.h.bemthuis@utwente.nl or Prof. Dr. Paul Havinga, p.j.m.havinga@utwente.nl.
The selection procedure includes an interview and possibly a presentation.
- a motivation letter, emphasizing your specific interest and motivation to apply for this position, also indicating for which doctoral position you apply (i.e., PhD, EngD or both) (maximum 2 pages A4).
- a resume, including a publication list (if any)
- MSc grade sheet in a pdf document
- Contact details of at least two academic references (such as the supervisor of your MSc thesis/final project)
For further information about this position, please contact ir. R.H. Bemthuis, r.h.bemthuis@utwente.nl or Prof. Dr. Paul Havinga, p.j.m.havinga@utwente.nl.
The selection procedure includes an interview and possibly a presentation.
Specifications
- Research, development, innovation
- Engineering
- max. 40 hours per week
- max. €2618 per month
- University graduate
- 1459
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Location
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Application procedure
Application procedure
Make sure to apply no later than 5 Jan 2024 23:59 (Europe/Amsterdam).