Boeing Australia / University of Adelaide Scholarship

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Payment per year
$28,092 tax free per annum (in 2020) + $20,000 per annum top-up scholarship
3 years
Postgraduate Research
Australian Citizens
New Zealand Citizens
Type of Scholarship
Available In
Faculty of Sciences, Engineering and Technology (SET)
Available To

Synthetic aperture radar (SAR) is a common imaging mode that is widely deployed for military and civilian applications. Examples include environmental monitoring and large-scale soil moisture measurements. Current generation of space and airborne SARs are capable of capturing vast quantities of data at high resolutions. A sound classification system has the potential to greatly expand the usage of datasets and add great value to the SAR datasets. Military examples include wide area surveillance where multiple targets may overwhelm human operators. In civilian applications, reliable classification will enable (near) real-time monitoring of infrastructure. With increasingly large datasets available, it has become feasible to apply data-intensive techniques, such as machine learning, to the analysis of image data. Recent advances in machine learning, particularly the extension into novel fields of study, have made ML for SAR a timely and important topic for research.

This project is concerned with the detection and classification of objects of interest in high resolution radar imagery. Objects of interest are primarily moving or stationary vehicles, but it can also incorporate roads, houses and other forms of man-made structures. The research will leverage on recent advances in machine learning, such as 'deep learning' structures, to improve the systems classification performance. The Adelaide Radar Research Centre has a long history in remote sensing applications using SAR and has a large existing dataset to support the proposed research.

This project is a collaboration between Boeing Australia and the Adelaide Radar Research Centre.

Selection Criteria


Eligible candidates must:

  • Have completed a Bachelor degree with a major in Electrical Engineering, Electronic Engineering, Artificial Intelligence and 1st class Honours, or a Masters degree that contains a significant (and relevant) research component with equivalent academic performance
  • Be studying full-time and onshore in Australia        
  • Be an Australian or New Zealand citizen
  • Meet all conditions for admission to the Doctoral program. For more information available from the Adelaide Graduate Research School website. For program details refer to the Research Student Handbook 2019.
  • Be living in, or able to relocate to, South Australia for the duration of the scholarship
  • Not hold a qualification at the same or at a higher level than the research higher degree program you are undertaking
  • Not be receiving a living allowance award, scholarship or salary providing a benefit greater than 75% of the RTP Scholarship living allowance rate to undertake the research higher degree program
  • Students applying fr this scholarship should plan for a start date of 20/01/2020 but no later than 31/03/2020


  • Applicants with strong signal processing, machine learning and programming skills particularly in Matlab or python will be considered favourably and excellent students who hold a Bachelor of Engineering (Hons) (E&E) or a double degree with  Bachelor of Mathematical and Computer Science (either Computer Science or Applied Maths major) would be especially suitable and encouraged to apply.

Additional Benefits:

  • Access to authorised travel, tailored professional development training and research project funds will also be available.
  • Professional training and development to equip you with the skills you need to become a more effective and well-rounded researcher and prepare for careers both within and outside academia.

Please address the eligibility criteria and email a copy of your CV and a cover letter explaining why you are interested in applying for this scholarship to