The key duties of the position include The Role Under limited guidance from the Discipline Lead - Applied Aerial Systems, the successful candidate will contribute expertise within a team of scientists, engineers and technicians to achieve outcomes for Defence through the realization of trusted autonomy for collaborative Uncrewed Aerial Systems (UAS) as well as uncrewed systems within other domains. Working within a team, you will deliver scientific outcomes and informed advice to enhance the capability provided by Autonomous Collaborative Platforms (ACP) both now and into the future. The successful candidate will work under limited guidance (S&T5), drawing on their ability to integrate trusted autonomy technologies such as artificial intelligence (AI), machine learning (ML) and mission driven automation, into real-world autonomous systems to achieve impact. Working with a multi-disciplinary team, they will develop, simulate and trial aerial autonomous vehicles for operations in complex and contested environments. The position includes professional development, work-life balance, recognition, a supportive and collaborative work environment and a diverse workforce A key focus will be to develop skills and work programs that deliver and contribute to the Defence Innovation Science and Technology (IS&T) Strategy, and to partner strongly across the IS&T eco-system. The duties of this position include: The development and experimentation of advanced defence autonomous system concepts in simulation, and transfer of these to real-world UAS to demonstrate capability in field trials. Support your Discipline Leader to maintain a strategic program alignment that integrates across the STC and MSTC. Provide subject matter expert advice in support of Integrated Investment Plan projects About our Team The Aerial Systems Autonomy STC leads DSTG's application and exploitation of autonomy and flight systems research for the development of advanced UAS for Defence. Research is focused on developing and demonstrating capabilities to extend UAS into more complex environments including alternate navigation technologies for operations in contested environments; multi-robot collaborative teaming; advanced sensing and responsive decision making, and novel flight system technologies. The outcomes of this program informs priority ADF acquisitions and enables concept exploration programs to identify future capability needs. Our Ideal Candidate Our ideal candidate will demonstrate the following: Well-developed skills in the area of computer science and digital engineering and field experimentation, with a focus on integrating autonomy capabilities into UAS in relevant challenging environments. A record as an accomplished researcher with a history of delivering valuable S&T projects; A commitment to continual learning to make an effective contribution toward high impact results both now and in the future; Experience in developing and sustaining strong relationships and collaborations within Defence as well as industry, academic and international government agency partners.