Job Title

The RoleUnder broad direction from the Group Leader Scalable Tactical Autonomy, the Discipline Lead Collaborative Tactical Autonomy will contribute specialist expertise and inspire a team of scientists, engineers and technicians to achieve outcomes in the high priority area of autonomy aiming to contribute to an asymmetric capability for Defence. As Discipline Leader, you will use your significant demonstrated experience to advance the disciplines R&D program in collaborative tactical autonomy. You will lead a diverse team focused on the development, experimentation and transition of distributed algorithms and software for collaborative autonomy focused on tactical missions covering air defence (Counter UAS), ISR, strike and logistics.As part of the leadership team, you will contribute to strategy development, resource allocation and build collaboration networks. A key focus will be leading the team to develop skills and work programs that deliver and contribute to the 2024 National Defence Strategy IS&T priorities. The position includes professional development, work-life balance, recognition, a supportive and collaborative work environment and a diverse workforce.The Workplace Environment will involve:Computer Use.Generic screen based.Sitting at desk.Lifting 0-15kg.Bending, Squatting, Reaching, Push/pull.Sequential Repetitive Movements in short period of time.Manual dexterity/manipulation.Works in isolation from other staff (remote supervision).Distance walking (i.e. large building or inter-building transit).Works outdoors.Exposure to extreme temperatures.About our TeamThe Scalable Tactical Autonomy STC conducts R&D into autonomy, AI and Engineering approaches and applies state of the art techniques towards distributed coordination of autonomous systems and platforms to achieve enhanced multi-platform coordinated combat for various tactical missions.We develop approaches to integrate multiple distributed sensor feeds, providing contextual awareness, and apply AI to generate optimised policies for multi-platform coordinated tactical combat and protection; these are applied to our AI-enabled distributed platform mission and control systems, recommending actions for and/or autonomously controlling platforms and their systems in tactical operations to enhance survivability and mission success.Our Ideal CandidateThe responsibilities of the role include but are not limited to:The coordination and development of distributed and collaborative C2 systems, software and algorithms enabling various tactical missions covering air defence (Counter UAS), ISR, strike and logistics.Demonstrate developed capability in field trials and experiments.Lead collaborations with academia, industry and international partners towards meeting project goals and integrated system outcomes.Lead software engineering teams to meet desired system outcomes.The supervision and mentoring of staff within the Collaborative Tactical Autonomy Discipline.Supporting the GL STAG to develop high level strategic goals for the STC.Facilitate appropriate direction for the team by clearly communicating goals and aims.Manage the prototyping capability within the discipline, comprising contractor staff and agile tools.Conduct project management for the discipline covering financial management, reporting and IP management.Provide subject matter expert advice in support of Integrated Investment Plan projects.Our ideal candidate will demonstrate the following:Well-developed skills in the area of computer science and software engineering, with a focus on the distributed command and control of autonomous platforms and their systems for various tactical missions covering air defence (Counter UAS), ISR, strike and logistics.A record as an accomplished researcher with strong leadership qualities and a history of delivering complex S&T projects.Leadership of a team culture that promotes science excellence and cohesion, encourages continual learning and allows all team members to make an effective contribution toward high impact results.Resource management skills to effectively manage a team, deliver its program of work and make substantial, significant and consistent personal contributions to its outputs.A history of developing and sustaining strong relationships and collaborations with industry, academic and international government agency partners, and of creating opportunities for your team to work cooperatively.A demonstrable history of successful delivery in R&D projects.EligibilitySecurity Clearance:Applicants must be able to obtain and maintain a security clearance at Negative Vetting Level 1.Mandatory Qualifications:The S&T6/EL2 Senior Researcher - Computational Science, Data Science & Autonomy position requires:Academic qualifications in one or more of the following related fields of research; orRelevant skills and work experience.Ref1297.0 ANZSRC Fields of Research 2020:-Division 40 Engineering4007 Control Engineering, Mechatronics & RoboticsDivision 46 Information & Computing Sciences4601 Applied Computing4602 Artificial Intelligence4605 Data Management & Data Science4606 Distributed Computing & Systems Software4609 Information Systems4612 Software Engineering4699 Other Information & Computing SciencesDivision 49 Mathematical Sciences4903 Numerical & Computational MathematicsClick apply for more information. #J-18808-Ljbffr