Satellite Mission Development: Computer Vision

Location: Adelaide, SA

Duration: 5 months

Please Note: Due to security requirements, students must have Australian Citizenship to apply. Any applicants not meeting this requirement will automatically be deemed ineligible for this project.

Project Background

Inovor technologies is a South Australian company offering specialist development services and satellite mission solutions. Inovor provide turnkey nanosatellite solutions for clients using our Apogee nanosatellite bus. The Apogee bus provides the power, pointing, mission control and telemetry systems all integrated into a lightweight modular structure.

Inovor have also developed a nanosatellite-based space situational awareness (SSA) mission to support the global space network is in development, as well as a smart Earth imaging mission for direct-to-user services. The company is looking for a PhD student to support the development of computer vision algorithms related to Earth Imaging.

Research to be Conducted

The project will explore processing/vision systems to detect objects/attributes and changes in a sequence of images. The student will work on test image sequences to demonstrate image processing techniques for object detection, pose estimation and change detection. These algorithms may then be implemented on flight equivalent hardware.

Skills Required

We are looking for a PhD student with the following skills:

ESSENTIAL

  • Computer Vision
  • Computer Science
  • Artificial Intelligence
  • Machine learning and image processing

DESIRABLE

  • Matlab, C++, CUDA and/or Python

Expected Outcomes

Computer vision algorithms to support Earth observation applications.

Additional Details

The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.

It is expected that the intern will primarily undertake this research project during regular business hours, spending at least 80% of their time on-site with the industry partner.  The intern will be expected to maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.

The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.

Applications Close

 29 January 2020

Reference

APR – 0792