Kickstart you career with 
CSIRO’s Industry PhD 


The opportunity

•Admission to a university PhD program
•A four-year scholarship valued at $46,000 per annum (2024 rate)
•A project expense and development package of up to $13,000 per annum 
•Supervision by CSIRO, an industry partner and the host university 
•A 60-day Industry Engagement component with the industry partner
•A structured professional development and training package 




Successful students will receive a PhD on completion.

Eligibility requirements 

The student must: 

•Be an Australian citizen or Permanent Resident, or a New Zealand citizen. 
•Meet participating university PhD admission requirements. 
•Meet university English language requirements. 
•Not have previously completed a PhD.
•Be able to commence the Program in the year of the offer. 
•Enrol as a full-time PhD student.
•Be prepared to be located at the project location(s) that the host university 
has approved and, if required, comply with the host university’s external 
enrolment procedures. 




Application process 

•Applicants submit an expression of interest (EOI) by emailing the university 
supervisor, or by following the instructions on the university’s webpage, 
when available. Applications are open until position is filled.
•The EOI is assessed by the supervisory team and shortlisted applicants are 
interviewed. 
•The supervisory team nominates a preferred applicant.
•The application is assessed by the university against PhD admission criteria. 
•The university will issue a letter of offer for the program if all conditions have 
been satisfied. 





The CSIRO Industry PhD Program (iPhD) is a research training program, focusing 
on applied research that benefits industry by solving real-world challenges. It 
aims to produce the next generation of innovation leaders with the skills to work 
at the interface of research and industry in Australia. 


Project overview 

Novel GPU-based digital signal processing for rapid prototyping with phased array 
feeds 

This project focuses on developing a GPU-based processing pipeline for multi-element 
phased array feeds that are used for radio astronomy. Its primary objective is to generate 
hundreds of independent beams that cover a wide field of view while enabling advanced 
signal analysis that surpasses the capabilities of current DSP approaches. 

In this way, crucial tasks such as detecting and removing radio frequency interference and 
identifying astronomical signals (e.g., pulsars and fast radio bursts) can be performed over 
wide bandwidths and in real time. By employing GPUs and a software-based approach, 
the Project will enable rapid prototyping of new techniques and algorithms that can be 
incorporated directly into the high-performance pipeline. 

Overall, the project aims to revolutionise phased array feed analysis through GPU 
acceleration and novel signal processing algorithms. Phased array feeds are growing 
rapidly in importance in both astronomy and space sciences, meaning that the potential 
impact of these advances is large. By utilising the strengths of GPUs and enabling rapid 
prototyping, the project seeks to uncover new insights and push the boundaries of data 
processing. With its potential to deliver faster and more adaptable solutions, this Project 
has the capacity to drive ground-breaking advancements in the field of phased array feed 
data processing. 


SUPERVISORY TEAM DETAILS 


Swinburne University of Technology


Adam Deller

adeller@swin.edu.au


CSIRO 


Chris Phillips

Chris.Phillips@csiro.au


Fourier Space Pty Ltd


Andrew Jameson

andrew.jameson@fourierspace.com.au

Fourier Space –Transformational Signal Processing for Space 
& Astronomy




Earn your PhD in partnership with industry, a leading university, and Australia’s national 
science agency, CSIRO.


FOR FURTHER INFORMATION

•Visit the iPhD website
•Contact the project’s supervisory team
•Contact the iPhD team 



PROJECT LOCATIONS 


Primary location 


Swinburne University of Technology, VIC 3122


Industry Engagement component 
location 


Fourier Space Pty Ltd, VIC 3122


Other potential locations


CSIRO Marsfield, NSW 2122





Ideal student skillset 


Essential: 

•A degree in (astro)physics, maths, or engineering, accompanied by a robust 
coding proficiency, particularly in languages such as C or C++ 


Desirable: 

•Experience in digital signal processing and/or astronomy is advantageous
•Familiarity with GPU coding is not a prerequisite; however, the student should 
possess the confidence and aptitude to acquire these skills rapidly, with 
appropriate guidance and supervision