$134,567 - $161,521 10% BDCP up to 15.4% Superannuation Edinburgh - SA, Fishermans Bend - VIC The Role There are four roles available: Discipline Lead - Space Data & Systems Analysis (Negative Vetting 1 - Edinburgh or Fishermans Bend) leads a team that will maintain and develop knowledge in current and future space domain awareness sensors and sensor systems, and algorithms for sensor data processing and fusion, for the surveillance and characterisation of space objects. Discipline Lead - Tracking and Sensor Fusion (Positive Vetting - Edinburgh) leads a multi-disciplinary team enhancing client situation awareness through improved multi-sensor fusion and object tracking in challenging environments; focusing on research in tracking & data fusion algorithms applicable to combat and intelligence systems. Discipline Lead - Human Machine Fusion (Negative Vetting 1 - Edinburgh) leads a multi-disciplinary team enhancing client situation awareness through improved human-computer interaction with automated and explainable information fusion systems; focusing on improving the effectiveness of Defence intelligence analysts and staff while reducing the manual impost and cognitive load they currently experience. Research Specialist - Computer Vision and Machine Learning (Positive vetting - Edinburgh) researches and develops novel CV and ML techniques generating new knowledge to produce enhanced capability for clients and sponsors using their experience or aptitude in Software Development, Mathematics and/or Algorithms. The right people for these roles will show drive and enthusiasm towards achieving the best outcomes for Defence from developing technologies for rapid transition to capability, the expertise to inform and shape customer requirements and the agility to respond to the changing context and shifting priorities of the customers while managing their expectations. They will build collaboration with others in DST Group, industry, academia and other research agencies. For more information contact: Role 1 - Hai Tan Tran -08 8393 4396 - Space Control Roles 2 & 3 - Martin Oxenham - 0458 108 835 - Data and Information Fusion Role 4 - Sebastien Wong - 08 8393 3758 - Automated Imagery Analysis This role is eligible for an additional remuneration benefit known in Defence as a Building Defence Capability Payment (BDCP). This enables Defence to provide a premium, in addition to the base salary otherwise payable under the Defence Enterprise Agreement (DEA), for positions in occupational disciplines/classifications that are critical to Defence capability. For further information, please contact the contact officer. About our Team Space Control conducts research into sensor and systems integration, and architectures for space domain awareness and control; the fusing of data from disparate sensors to form the space situational awareness picture; the understanding of the space environment and its impact on space capabilities; and the development of technologies and approaches to characterise and counter emerging space threats. Data and Information Fusion automates the assimilation and fusion of all-source information to predict behaviours, identify intent and provide explanatory narratives in a readily understood form to enhance human decision making. This requires automated construction of machine-understandable representations of knowledge and uncertainty, continual learning and adaptation of the knowledge representation, visual analytics and methods for explainability and contestability of the findings Automated Imagery Analysis conducts research into the automated processing of oblique and overhead imagery data at the edge, and in the centre, to deliver tactical, operational and intelligence information using computer vision and machine learning. It performs research into the vulnerabilities and protection of the automated processing techniques. Our Ideal Candidate Our ideal candidates will have: A strategic mind-set with the ability to contextualise Defence and whole-of-government strategy and inspire a sense of purpose and direction by aligning the work program with stakeholder needs and priorities; A strong background in leading and/or contributing to highly complex, multi-disciplinary research programs; Demonstrable expertise directly relevant to the position(s); Extensive experience in the application of innovation and S&T to achieve objectives and delivering capability outcomes to customers and stakeholders; Demonstrated ability to generate relevant scientific knowledge and publish in the academic community and/or produce classified reports for clients; Demonstrated experience in leading and/or managing multi-disciplinary research and/or engineering teams at the working level; Excellent communication skills with a track record of engaging and influencing a large range of partners and stakeholders at all levels; Demonstrated ability to build and maintain relationships across multidisciplinary teams and with a wide variety of partners, clients and stakeholders; The agility to respond to the changing context and shifting priorities of the customer while proactively managing their expectations. 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