Satellite Mission Development

Location: Adelaide, South Australia

Duration: 5 months

Proposed start date: April 2019

PLEASE NOTE: Due to funding requirements, students must have Australian Citizenship or Permanent Residency 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 is a smart Earth imaging mission for direct-to-user services. The Hyperion mission will support the global SSA effort using a constellation of 12U nanosatellites in Low Earth Orbit (LEO), observing the Medium Earth Orbit (MEO) and GEO orbital bands. Hyperion will provide large amounts of disparate data into the SSN.

Inovor is developing several satellite mission applications and are looking for a PhD student that can help them support a Radio Frequency (RF) beam steering application on a satellite.

Research to be Conducted

In developing their satellite mission applications, Inovor are interested to explore these projects:

  • The first project will explore approaches to RF beam steering application, which can distinguish two RF sources in close proximity to each other. The student will develop a high level system design for the receiving unit and develop the beam steering algorithms to achieve the desired beams/nulls
  • The second project is in the field of image processing/vision systems and will detect objects/attributes and changes in a sequence or images. The student will work on test image sequences to demonstrate image processing techniques for object detection, pose estimation and change detection. These algorithms will then be implemented on flight equivalent hardware

The student undertaking either of the projects will be expended to develop algorithms that could possibly be deployed in dedicated hardware platforms.

Skills Required

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

  • RF signal processing and beam steering
  • Machine learning and image processing
  • Experience of Matlab, C++, CUDA, Python would be highly regarded.

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

 3 April 2019

Reference

APR – 0792