PhD Scholarship: Automated Detection of Archaeological Features Using Drone Imaging

Description

This PhD project will develop and test innovative methods for automatically detecting archaeological features using drone-based photography and artificial intelligence. Focusing on the vast desert landscapes of Australia, and collaborating with our industry partners, the research will explore how high-resolution aerial imagery can be analysed using computer vision and machine learning to identify archaeological features across large survey areas.

A primary target will be the detection of stone artefact scatters, one of the most widespread and informative forms of archaeological evidence in arid Australia. The project will also investigate the automatic identification of other archaeological landscape features visible in aerial imagery.

Australia’s desert regions contain extensive archaeological records but are challenging to survey using traditional ground-based methods. By developing automated detection approaches, this project aims to significantly increase the scale and efficiency of archaeological survey.

The research has the potential to transform how archaeological landscapes are identified and monitored, support improved cultural heritage management, assisting Indigenous communities in protecting cultural sites, and enabling a more effective archaeological assessment framework for industry and land disturbance activities.

Through testing multiple automated detection approaches, including advanced computer vision and machine learning techniques, the project will help establish new digital methods for large-scale archaeological survey in arid environments.

Benefits

• Unparalleled networking opportunities and research training within and across diverse organisations.
• Deep disciplinary expertise in archaeology enabling interaction in cultural knowledge exchange.
• Opportunities to contribute to the evolution of archaeology in the resources sector and Traditional Owners, and the broader field of social performance in mining.
• Holistic training for the next generation of archaeologists and social scientists strongly desired by employers worldwide.
• Placement with a partner organisation: A 12-month placement with a partner organisation provides practical insights and professional development.
• Stipend $41,555 per year indexed annually for 3.5 years, tuition fees paid and assistance with project expenses.

Eligibility

To be eligible, applicants must:

• Meet Flinders University PhD admission requirements (Honours I/IIA, Masters, or equivalent research experience).
• Take up the scholarship within 3 months of the offer (extensions up to 3 months may be approved in exceptional cases).
• Meet any additional requirements of partnering organisations (e.g., additional security or background checks).

Desirable:

• Background in GIS, machine learning, computational archaeology and/or coding.
• Hands-on experience with drone photogrammetry, surveying and/or archaeological field work.

Selection Criteria

All PhD projects are full-time. No positions are ‘remote-only’, candidates must be physically based at a University to ensure a ‘cohort’ is developed.