El 1 (S&t Level 5) - Artificial Intelligence
4 days ago
$115,899 - $130,733 (+ 15% BDCP) + up to 15.4% superannuation
- Edinburgh - SA
**The Role**
You will demonstrate initiative, scientific integrity and pragmatism. You will be able to work with limited guidance within the context of the team’s objectives. You will have a demonstrated ability to recognise research challenges, pursue solutions, and communicate these effectively with stakeholders, team members and collaborators.
**About our Team**
This role sits within the Adaptive AI Planning (A2P) discipline of the Cyber Command and Control (CyC2) Science and Technology Capability (STC) in the Cyber Operations (CO) Major Science and Technology Capability (MSTC) of ISD.
The main objective of the A2P discipline is to enhance decision-making agility, toward supporting cyber operations, command and control in complex, uncertain and adversarial environments. Specifically, A2P places a significant emphasis on machine-speed AI planning techniques and models that can evolve to adapt to rapidly changing situations, and that can be quickly adapted to diverse missions and tasks across domains.
The discipline's focus encompasses conducting research and development to harness and integrate advancements in AI and deep learning. This integration aims to facilitate real-world planning effectively, ensuring scalability and timely responsiveness — critical attributes for fostering effective and resilient cyber operations.
Highly Desirable
- Possess a solid background in one or more of the following fields: Computer Science, Mathematics, Statistics, AI and Deep Learning.
- Demonstrate experience in programming languages, especially Python.
- Demonstrate a strong interest in developing skill sets in one of the following areas: AI-driven planning and decision making, Markov Decision Processes (MDPs), Probabilistic and Statistical Modelling, or Deep Neural Networks.
- Display strong critical thinking and problem-solving skills.
Desirable
- Demonstrate an interest in developing knowledge and skill sets in cyber security.
- Have experience with popular machine learning frameworks such as TensorFlow and PyTorch.
- Demonstrate effective verbal and communication skills and an ability to work effectively with multi-functional teams.
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