PhD Scholarship - Digital Twinning of AAM and UAS Aircraft Performance, Function and Operations

• Tailored training program focused on collaboration, innovation and research translation
• Full time, fixed term position with a stipend of $30,000 p.a for 3.5 years
• Located onsite at Swinburne University, Hawthorn with travel required to regional Victoria

About the Role

The Aerostructures Innovation Research Hub (AIR Hub) will be a world-class, collaboration between Swinburne University of Technology, CSIRO, industry and research partners. AIR Hub has been designed with industry and research leaders at the forefront of Australia’s Aerospace and Advanced Manufacturing industries to reinforce the Australia’s pre-eminent position in advanced composites manufacturing for civil aerospace projects and accelerate development of composites manufacturing for integrated structures and airframes in eVTOL urban passenger, cargo and aeromedical air vehicles.

We are looking for a PhD candidate who will work on:

1. Digital twinning of the environment in which AAM may be operated, undertaking research into the ability of existing hardware and software to accurately characterise and locate natural and manmade objects, commencing in a regional location in Victoria (approx.. 2 hrs from Melbourne CBD) in which AAM trials will be undertaken.
2. Interfacing with the industry partners regarding sensors and related systems already integrated into an AAM surrogate or AAM like aircraft for Trials
3. Analysing trials data with reference to its applicability to:
   1. CASA safety cases and operational approvals
   2. ASA and Thales Integration into air traffic management systems
   3. Integration into the AAM navigation and control systems of future AAM operators
4. Consideration of processes for near-real-time updating of data to account for changes
5. Further digital twinning of aircraft and functional performance in emulated / simulated environments for fully digitalized development and digital testing
6. Utilisation of artificial intelligence and other machine learning techniques to aid in digital development

About You

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

• Digital twinning/mapping techniques and processing technologies 
• Communicating effectively with peers, industry partners and suppliers to achieve collaborative outcomes, including in cross-functional teams
• Working both independently and as part of a team in a collaborative manner
• Being enthusiastic, self-motivated with a demonstrable aptitude for research and development.

Qualifications

A 4-year Bachelor/Honours degree or a coursework Master’s degree with a minimum average of 70% in the final year of study (H1 or H2A)

or

a Research Masters in Material Science, Engineering, Computer Science, Software or equivalent.

You will also need to meet the entry requirements for Higher Degrees by Research at Swinburne University of Technology

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 why you believe you are suitable for this position.

For further information about this role and to review the position description; please click apply or click onto it at the bottom of the advert.

Please Note: Appointment to this position is subject to passing a Working with Children Check as well as currently holding an Australian drivers license (Class C).

If you are experiencing technical difficulties with your application, please contact the Swinburne Talent Acquisition Team on staffrecruitment@swin.edu.au 

Applications Close: Monday 20 February 2023 at 5:00 pm

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

Diversity and Inclusion

Swinburne is a large and culturally diverse organisation and we are proud of our commitment to equity and inclusion through key initiatives. For further information on all our initiatives visit our equity and 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  inclusion@swin.edu.au

Aboriginal and Torres Strait Islander

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

For any support please contact our Aboriginal Employment Coordinator at DeadlyCareers@swin.edu.au or for more information on our Indigenous strategies please follow the link to our RAP Reconciliation Action Plan.