Internship Digital Twin: Semantic Modelling
Internship Digital Twin: Semantic Modelling
is changing, quickly. Rapid innovation and widescale digital transformation are
producing new challenges for organizations in every sector. But along with
these challenges come new opportunities. Digital twins have the potential to
radically transform the way we think and operate as a society, providing the
insight and agility needed to turn reactive decision-making into proactive
problem-solving. Driven by relevant data, a digital twin is a virtual mirror of
a real-world asset, process or even an entire system, like a supply chain or
city. This mirror provides insight into how that asset behaves under a variety
of simulated conditions, helping you to improve decision-making and optimize
Data interoperability is vital between the various technologies in a digital twin ecosystem. Differing open and proprietary standards and exchange formats will require careful consideration to ensure success. Clear interoperability standards will help twins exchange data and models, and enable a growing, healthy ecosystem. To make different Asset Management, GIS, and BIM-data interoperable, we want to build a Digital Twin ontology: a framework to describe the interconnectivities between asset data and metadata in a shareable and reusable format. This ontology provides a step on the journey to making data seamlessly available when and where it is needed across data management systems and supports the first steps in the transition from traditional Asset Management to operation via the Digital Twin.
The Digital Twin ontology will be built using “Linked Data” and “Semantic Web” technologies. The Semantic Web helps link datasets so that they are understandable not only to humans but also to machines, and “Linked Data” makes these links possible. In other words, Linked Data is a set of design principles for sharing machine-readable interlinked data on the Web. This enables humans to clearly understand the semantics of the different data standards, while machines can be used to automate the processes. For example, we can integrate sensor data with BIM data within a Digital Tunnel Twin to automatically link and visualize condition data of assets in a GIS environment.
What you will do
As an Intern, you will build a semantic model of a Digital Twin by researching and combining existing standards. The model needs to be modular and applicable in different domains. We want you to classify and integrate data according to the Digital Twin model and visualize the asset and sensor data in BIM or GIS software. You will work with data that is available from existing projects and you will be working on a way to automate the linking workflow. This is a nice opportunity to become familiar the projects we are working on at Royal HaskoningDHV and we’ll challenge you to contribute by applying the knowledge gained during your research.
Where you will work
As an Intern Digital Twin Data Integration, you will join our Data Solutions team. A leading group of experts with the main focus on using data to optimize and adapt the physical environment. You will work partly at home and partly at the Royal HaskoningDHV offices in Amersfoort or Nijmegen.
What you bring
We are looking for a motivated intern student that matches the following profile:
- Currently following a relevant HBO/WO study in the fields of GIS or BIM. (Note: It is compulsory that you are enrolled at university or HBO at the time of the Internship)
- A pro-active attitude, can you work independently, work as a problem owner, and takes the lead in finding solutions.
- Experience in scripting/programming languages such as Python is a plus.
- Experience with linked data and semantic standards is a plus.
What we offer you
Royal HaskoningDHV is
part of the top 5 consultancy and engineering firms in the Netherlands.
Following an internship or graduation research here is a good start for a
successful career with us or elsewhere. You will become a full-fledged employee
and will get to know the organization from the inside. You will work together
with people who, like you, aspire to get the best out of every challenge.
We have an inspiring working environment within a professional and successful firm. Our company
culture stands apart in having the freedom and responsibility to develop your own initiatives. We
strive to a have a balance between work and personal life. Naturally you will receive a fitting
compensation for your work.
We offer you an environment in which you will work together with extremely motivated colleagues
who belong in the top of GEO-ICT in the Netherlands. In addition, Royal HaskoningDHV employs a
score of talented data scientists who are at the forefront of related developments.
The duration for the internship is a minimum of 4 months.
Are you our new colleague?
We would like to meet you! Click on the apply button and upload you CV and letter of motivation. If you have any questions, please don’t hesitate to contact us by sending an email to [email protected] with the name of the vacancy in the subject.
Incomplete applications will not be considered.