Start Date
Immediate
Expiry Date
22 May, 25
Salary
0.0
Posted On
16 Apr, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Visualisation, Academic Research, Data Science, Fusion, Conference Presentations, Ifc, Linkedin, Access, International Standards, Gml, Json, Sponsorship, Geomatics, Developments, It, Processing, Email, Construction, Entitlements
Industry
Information Technology/IT
Job no: 531388
Work type: Full Time
Location: Sydney, NSW
Categories: Post Doctoral Research Associate
SKILLS AND EXPERIENCE SUMMARY:
Applications sent via email will not be accepted, please apply via the application portal.
UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.
The University reserves the right not to proceed with any appointment.
Position Description
Advertised: 04 Apr 2025 AUS Eastern Daylight Time
Applications close: 22 Apr 2025 AUS Eastern Standard Time
WHY YOUR ROLE MATTERS:
The Research Associate/Post-Doctoral Fellow will contribute towards the building of Geospatial Intelligence to support machine-human native conversation. In this role, you will carry out independent and collaborative research within a team of UNSW (School of Built Environment and School of Engineering), Western Sydney University, and FrontierSI, which are partners in the project Resilient and Intelligent Infrastructure Systems (RIIS), funded by the Australian Research Council (ARC) under the Industry Transformation Research Hub (ITRH) program. Current practices in infrastructure construction and urban development often rely upon proprietary spatial data formats and product solutions, which create high semantic and geometric heterogeneity.
The post-doctoral fellow is expected to be a lead researcher in: 1) Identifying key concepts and codes from international standards, national standards, and in-house repositories, 2) developing a knowledge graph of spatial linguistic concepts and definitions (Semantic model), 3) investigating the capabilities of Large Language Models (LLM) to find and match similar concepts with and without the defined knowledge graphs, 4) demonstrating the ability of an LLM to answer plain language questions about spatial data, using only machine-readable data.
The role of Research Associate/Post-Doctoral Fellow reports to the RIIS team and has no direct reports.
RESPONSIBILITIES: