PhD Scholarship Drone-based sampling and AI analysis of rocky shore biodiversity

Updated: 9 months ago
Deadline: The position may have been removed or expired!

PhD Scholarship Drone-based sampling and AI analysis of rocky shore biodiversity

A PhD project (with full scholarship) is available at Southern Cross University. The successful candidate will use cutting edge drone technology to sample rocky shores using LiDAR, thermal, and ultra-high resolution RGB sensors, as well AI-based image analysis to classify habitat-forming species and thermal microclimate refuges. The successful candidate will work on an ARC Discovery project aimed at creating artificial coolspots that support heat-resistant rocky shore communities. The project will be supervised by Professors Brendan Kelaher (SCU) and Melanie Bishop (MacU).

The successful candidate will receive training in the safe operation of drones in Australian airspace. They will be based at the National Marine Science Centre in Coffs Harbour. Situated next to the Solitary Islands Marine Park, this world-class facility is ideally place to support marine research. It is also located adjacent to pristine dive sites, world-heritage rainforest and outstanding surf breaks.

The position is open to Australian and international applicants.

The PhD scholarship will provide a tax free stipend of $29,863 pa (AUD) (2023 rate indexed annually) for 3 years and 3 months and tuition fees will be waived. Plus there is additional funding to support the research. International applicants please note that you will be responsible for your own travel costs to and from Australia, payment of your own Overseas Health Cover and any associated visa costs.  

Eligibility: The successful applicant will need to meet the entry requirements to enrol in a PhD at Southern Cross University on a full-time basis including Honours or Masters degree in marine science or a closely related field. The project will involve boat work and extended periods in the field.  

How to apply: Interested applicants should send expressions of interest to [email protected]  with subject line “PhD Application for drone-based sampling of rocky shores”.

Please attach a single PDF file that includes: a brief cover letter/statement of interest and experience (one page max), a CV including the names and contact details of three referees (three pages max), and an academic transcript. Only short-listed applicants will be notified. 

Closing date for Applications: Friday 10 March 2023, but may be extended if the position is not filled.


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