Digital Engineering Data Flow, Integration and Design
Engineering, IT, Mathematics and Statistics
- This internship is able to cover project costs for domestic students only.
- The Industry Partner has implemented appropriate preparations to comply with Federal and State Government requirements regarding COVID-19 safety.
- If your skillset is aligned with this internship and you are located remotely, please enquire with the Internship Contact to discuss possible arrangements.
ABOUT THE INDUSTRY PARTNER
Veris is the largest provider of surveying, planning and spatial services in Australia. Veris has 20 offices distributed across Australia, and a team of almost 500 professionals. Built through the acquisition and integration of some of the largest and most innovative businesses in the industry. Veris has a unique capability to service large multi-faceted projects in the infrastructure, resource and property sectors. To continue as a market leader Veris is extending its technology capabilities to take advantage of its vast quantity of data in order to provide advanced insights and knowledge to its clients.
WHAT’S IN IT FOR YOU?
- Able to work at the cutting-edge of digital engineering, 3D reality capture and spatial data
- Ability to connect with Australia’s leading spatial and infrastructure professionals
- Real-world applications for the construction industry
- Getting involved in major infrastructure developments in Australia
RESEARCH TO BE CONDUCTED
Veris is seeking to develop a capability to seamlessly integrate its survey and spatial data into the digital engineering process within large infrastructure projects. The data flow across large infrastructure projects is complex with many players, sources, standards and requirements to manage. As infrastructure projects are driven towards more data-driven decision-making it is vital that the survey and spatial data is efficiently integrated into workflows. This project seeks to improve the flow of this information across the whole design and build of large infrastructure projects.
The proposed research will need to undertake a review of the current state of digital engineering globally including data flows and common software environments. The research will then be aimed at mapping the digital engineering workflow across the design, build and operate phases with one of Veris’ key engineering clients through a case study approach. It will seek to understand where and how survey and spatial data can be integrated into this digital engineering workflow. The project will then provide recommendations for how survey and spatial data, including conformance reports, can be seamlessly integrated into the digital engineering workflow. This will address topics such as data formats and exchange, common software environments and analytics dashboards.
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:
- The ability to work effectively as part of a multi-disciplinary, potentially regionally dispersed team, plus the motivation and discipline to carry out independent research.
- Solid knowledge of civil or geospatial engineering including workflow mapping.
- Capacity to imagine, articulate and introduce new and better ways to use digital technology to improve the efficiency in design/construction.
- Experience in production of federated 3D data models for civil engineering or infrastructure projects.
- Working in BIM environments (or similar) or 3D CAD experience including an understanding of software such as ProjectWise, BIM360, Revizto or Navisworks for management of 3D as-built and design models.
- A record of science innovation and creativity, including the ability and willingness to incorporate novel ideas and approaches into scientific investigations.
The research will produce a report outlining the digital engineering process across case studies with one of Veris’ key clients. The report will understand the current global state of digital engineering particularly within the 3D spatial information context. The report will produce recommendations for how spatial data and reports can be seamlessly integrated into the workflow of large infrastructure projects using a case study approach.
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 and 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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