PhD Opportunity: Development of a Hyperspectral Imaging Sensor for a High-Altitude Drone

The University of Tasmania is now accepting applications for a PhD opportunity to work on the development of hyperspectral imaging sensors for a stratospheric drone platform. This project will focus on the assessment/analysis of aspects of sensor integration, fusion with GNSS/IMU position and attitude data, georeferencing, data storage and transmission, and environmental impacts on sensor data quality. This funded PhD scholarship opportunity is ideal for applicants with a First-Class Honours degree or Master's degree, with demonstrated experience in hyperspectral imaging sensors and data processing.

Apply as soon as possible. Closes May 31st or until filled.

Date published: 2020/04/15

The Research Project

This PhD project will focus on the development of a hyperspectral imaging sensor for a new stratospheric drone platform, also known as a high-altitude pseudo satellite (HAPS). The PhD is part of a larger research project funded by the Australian Research Council (ARC) Linkage Scheme and in collaboration with the British Ordnance Survey and Astigan (https://astigan.uk/), a company which is developing the HAPS platform. The PhD project will assess/analyse aspects of sensor integration, fusion with GNSS/IMU position and attitude data, georeferencing, data storage and transmission, and environmental impacts on sensor data quality. Applications of hyperspectral remote sensing from the HAPS platform include ecosystem monitoring, precision agriculture, forest management, disaster response, and Antarctic science. This is a unique and exciting opportunity to be involved in a state-of-the-art project, and to be part of the TerraLuma research group (https://terraluma.net/) at the University of Tasmania advancing drone remote sensing. The PhD project comes with a funded PhD scholarship and operational support for equipment, airborne testing, and travel. Application from those with foundations in a range of disciplines are welcome! Applicants are encouraged to contact Professor Arko Lucieer ([email protected]) before submitting an application.

Eligibility

The following eligibility criteria apply:

  • The project is open to domestic (Australian and New Zealand) and international candidates.
  • The degree must be undertaken on a full-time basis.
  • Applicants must already have been awarded a First-Class Honours degree or hold equivalent qualifications, such as a research Master's degree or a coursework Master's degree with a substantial research component awarded high marks, or relevant and substantial research experience in an appropriate sector.
  • Candidates from a variety of disciplinary backgrounds are eligible to apply.

Please see the following web page for entry requirements: https://www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria

The following criteria will be used to competitively assess applicants for this project/scholarship:

  • Applicants must be able to demonstrate strong research and analytical skills, evidenced by a publication record and/or substantial research thesis in a relevant area.
  • Background in technical aspects of remote sensing and/or sensor development.
  • Demonstrated experience with hyperspectral imaging sensors and data processing.

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now webpage.

Information about scholarships is available on the Scholarships webpage.

Closing Date :31st May 2020*

*unless filled earlier

Applicants should contact the primary supervisor Arko Lucieer, and submit their Expression of Interest (EOI) and Application as soon as possible.

Learn more about University of Tasmania's open positions by visiting their website.

Want to chat about the future applications for stratospheric drone platforms? Start the conversation in our Drones group forum!

Continue the discussion… Drones