- Employment Type: Fixed-Term Contract, Full-Time (35 hours p/week)
- Duration: 12 Months
- Remuneration: $88,290 - $117,718 + 17% Super + Leave Loading
- Location: UNSW Kensington Campus (Hybrid Working)
About UNSW:
UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community, a community doing extraordinary things. Together, we are driven to be thoughtful, practical, and purposeful in all we do. Taking this combined approach is what makes our work matter. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.
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:
- Contribute independently or as a team member in collaborative research with a focus to enhance the quality of research outcomes in the discipline area.
- Conduct research (as per the norms of the discipline) and/or enable research teams to create scholarly output that is recognised by peers.
- Undertake specific research project/s under the guidance of a research leader and contribute to development of research activities.
- Support the dissemination of research outcomes through appropriate channels and outlets.
- Undertake discipline-appropriate research activities, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods.
- Contribute independently and in a team in design of systems architecture
- Contribute independently and in a team in code development and software specifications
- Participate in the preparation of research articles to be published in high-ranked scientific journals
- Participate in and/or present at conferences and/or workshops relevant to the project as required.
For more information regarding the responsibilities for this role, please refer to the Position Description at JOBS@UNSW.
Skills and Experience Summary:
- A PhD in data science, geomatics, construction or a related discipline, and/or relevant experience or understanding about LLM, AI, Geomatics or construction fields.
- Proven computation and software developments skills.
- Expertise in LLM (e.g. some of Llama, BERT, Claude, Falcon 180B, Dolly, ChatGPT, Gemini, etc.) and geospatial standards or formats (e.g. CtyGML, IFC, JSON, GML)
- Understanding of international standards and API for 3D data harvesting, fusion, processing and visualisation.
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
- Demonstrated track record of journal publications and conference presentations relative to opportunity.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Demonstrated ability to communicate and interact with a diverse range of stakeholders and students
Benefits and Culture: People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world. Our benefits include:
- Career development opportunities
- 17% Superannuation contributions
- Additional 3 days of leave over Christmas period
- Discounts and entitlements (retail, education, fitness)
How to Apply: Make each day matter with a meaningful career at UNSW. Submit your CV as well a cover letter that addresses your interest and suitability for the position in relation to each of the selection criteria (listed under the ‘skills and experience’ section of the PD), via the application portal before 22 April at 11:30pm.
A copy of the Position Description can be found on JOBS@UNSW.
Get in Touch: For queries regarding the recruitment process, contact Lucy Gerondis, Talent Acquisition Consultant, UNSW: l.gerondis@unsw.edu.au
Applications sent via email will not be accepted, please apply via the application portal.
* UNSW is unable to offer sponsorship for this position. Applicants must have full Australian working rights for the duration of the contract.
* LinkedIn may display the location of UNSW jobs based on your profile preferences; however, please note that this position is based at UNSW's Kensington campus.
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.
