Digital Twins: Integration of Disparate Data and Building Intelligence for Insights
Engineering, IT, Mathematics and Statistics
Due to funding requirements, students must have Australian or New Zealand Citizenship or Permanent Residency to apply. Any applicants not meeting this requirement will automatically be deemed ineligible for this project.
ABOUT THE PROJECT
Digital twins are impacting organisations as a vehicle to (i) organise their data (ii) sharpen thinking around knowledge governance and (iii) provide a central focal point for gaining insights into their estate and assets. This is an internship with a focus on building an insightful digitised estate for a key client.
WHAT’S IN IT FOR YOU?
- Aurecon, an engineering advisory organisation, is a leader in taking digital solutions to our clients.
- This is an opportunity to analyse and organise large and diverse datasets for a major and well-known infrastructure client in Western Australia.
- Design and develop a digital twin that is not only an effective 3D representation of the estate and its assets but mash multiple datasets, such as: above ground, underground, internal of buildings, external of buildings; to allow powerful insights to inform effective decision making.
- Collaborate with Aurecon’s discipline experts to develop bespoke datasets for consumption in the digital twin – this is great exposure to numerous service offerings and subject matter experts.
- Develop skills in the mastery of data presentation and visualisation, particularly with a geospatial perspective.
- Opportunity to provide your input into a key project for a key client and have your ideas heard and vision realised.
- Opportunity to be a key part of a small team and present your research and findings to a senior executive team who support diverse thinking.
- Aurecon are no shrinking violet – in 2019, Aurecon was voted 4th most innovative company in Australia by AFR Boss.
RESEARCH TO BE CONDUCTED
Digital twins are an important vehicle that often facilitates the start of an organisation’s journey along their digital transformation. Publishing a twin requires numerous activities to be completed, such as: discovering a client’s data flows and sources, understanding their software platforms and mapping their interoperability; developing robust knowledge management standards; and facilitating data integration by solving their geographic relationships. The digital twin will allow smart visualisations of these static and dynamic datasets and the interface will allow interrogation and analysis yielding insights about the estate.
Key insights to be drawn from the research include but are not limited to:
- Data discovery, cleansing and assurance
- Integrating commercial models into 3D visualisation
- Developing workflows for optimal integration of disparate data sets
SKILLS WISH LIST
If you’re a PhD student and meet some or all the below we want to hear from you. We strongly encourage women, indigenous and disadvantaged candidates to apply;
- GIS Developer, ESRI suite, AGOL,
- Dashboarding (PowerBI)
- Data Analytics
- Experience working with data, data cleansing and making data structured.
- Understanding of geographic coordinate systems and geospatial data
- Problem Solver
- Research and Experimentation Experience
- Statistics and Mathematics Background
- Computer Vision, Machine Learning or Natural Language Processing Experience
By end of tenure, we have completed:
- Visualisation of an existing client site
- Tested output with the client
- Refined based on feedback
- Process mapped the development process and learnings
- Tested opportunity with the next client
The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.
It is expected that the intern will primarily undertake this research project during regular business hours, spending at least 80% of their time on-site with the industry partner. The intern will be expected to maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
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