First listed on: 24 March 2023

  • Department of Computing Technologies (DCT)
  • Full time, 3-year fixed term position at our Hawthorn campus
  • Academic Level B ($102,733 - $121,627) with 17% super

About the Role 

An excellent opportunity has become available for a Research Fellow (RF) to work on an exciting project "SpaceCraft Autonomy and Onboard AI for Next Generation Space Systems (SCARLET-?)" funded by the SmartSat CRC and in collaboration with the industry partner SAAB Group as well as other research and industry partners including Airbus, Ascension, Leonardo, University of South Australia, and Deakin University. 

As the RF, you will carry out research in the project with an aim to develop a novel multiagent system for autonomously managing and configuring distributed space systems with the aim to improve their resiliency.  You will contribute towards developing solutions for a number of critical problems in distributed autonomic computing for autonomous resilient satellite constellations including mission-based situational awareness, goal-driven management and decision-making for distributed space systems via task and resources allocation and negotiation. 

In this highly collaborative position, you will work closely with other project team members, including Chief Investigators, R&D Software Engineers and external partners (SAAB Group, Airbus, Ascension, Leonardo, University of South Australia, and Deakin University).  You will be expected to work with a high degree of autonomy and as such is required to demonstrate initiative and responsibility in achieving the position’s goals and pursuing research directions in the project under the leadership of the Chief Investigators, Associate Professor Bao Vo. The position is expected to involve in the supervision of PhD students who will also be funded by the project. The position will be for a fixed-term duration of 3 years (with the possibility of extension subject to funding availability).

About You  
To be suitable for this role you will need to have experience in the below key accountabilities: 

  • An emerging track record of research and development as evidenced by a range of publications in peer reviewed journals and conferences
  • Excellent oral and communication skills
  • Knowledge and demonstrated experience in multi-agent technology, artificial intelligence, autonomic computing and distributed constraint optimisation problems
  • Knowledge and demonstrated experience in resilient systems and distributed space systems

An earned doctoral qualification (or nearing completion) in Computer Science, Software Engineering or other relevant fields

About Swinburne University of Technology 
Swinburne Horizon 2025 draws upon our understanding of future challenges. With this new strategic plan, we choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship, and proud of it. We are committed to a differentiated university proposition in education and research, so that:

  • Every Swinburne learner gets a work experience
  • Every Swinburne graduate gets a job
  • Every Swinburne partner gets a tech solution
  • Swinburne is the prototype of global best practice

The achievement of our 2025 moon shots depends on our capacity to work collectively, always, as One Swinburne.

To Apply 
Please submit your CV and cover letter addressing your suitability for this position.  

To review the Position Description and to apply, please scroll down to the bottom of the page. 

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Please Note: Appointment to this position is subject to passing a Working with Children Check.

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Applications Close: Monday 24 April 2023, 11pm

Swinburne offers flexible working options, leave and parenting/carer policies to support work life balance.

Equity and Diversity 
Swinburne is a large and culturally diverse organisation and we are proud of our commitment to equity, diversity and inclusion through key initiatives.  For further information on all our initiatives visit our Equity & Diversity website.

We welcome and encourage applicants from diverse backgrounds to apply.

We are committed to making the recruitment process fair and equitable for all our candidates. If you have specific accessibility or support requirements please contact

Aboriginal and Torres Strait Islander Applicants
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.  

For any support please contact or for more information on our Indigenous strategies please follow the link to our RAP Reconciliation Action Plan

We are a 2023 Circle Back Initiative Employer – we commit to respond to every applicant

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