Distributed Decision Making Specialist

13 hours ago


Adelaide, South Australia beBeeMachineLearning Full time $114,151 - $128,065

Job Overview:

We are seeking a motivated individual to work on an exciting project in multi-agent decision making in contested and dynamic environments.

The project involves extensively applied work at the intersection of data fusion, decision making, and machine learning, with real-world testing and feedback.

Key Responsibilities:

  • Work on decision making for anomaly detection, behavior analysis, and surveillance decisions under the direction of A/Prof Claudia Szabo.
  • Develop expertise in user experience (UX) design, specifically in developing user interfaces that enable effective operator control and monitoring of drones.
  • Contribute to the development of secure and robust machine learning solutions.
  • Collaborate with other researchers and engineers in A/Prof Szabo's team who share broad goals in decision making in contested and dynamic environments, data fusion, multi-agent reinforcement learning, and secure and robust machine learning solutions.

Requirements:

  • Excellent industry experience in computer science, data science, or applied machine learning, decision making, and other closely related areas.
  • Demonstrated expertise and experience in data science and data fusion.
  • Relevant first degree in Engineering, Computer Science, or a related discipline.
  • Expertise and experience in computer programming, especially in Python and C++.

Benefits:

  • A uniquely rewarding workplace with vast scope and opportunity for a long, fulfilling career.
  • Surrounded by talented colleagues, many world-leading, in a culture that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework.
  • A wide range of attractive staff benefits, including salary packaging, flexible work arrangements, high-quality professional development programs, and on-campus health clinic, gym, and fitness facilities.

Join us to contribute your skills and experience to deliver impactful projects in a collaborative environment.



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