Research Scientist – AI Enabled Decision-Making
Praetorian Aeronautics
Research Scientist – AI Enabled Decision-Making
Praetorian Aeronautics is seeking a Research Scientist in AI-enabled decision-making to design and validate algorithms for autonomous and semi-autonomous systems. The role involves formulating decision-making problems as MDPs/POMDPs, applying reinforcement learning, Monte Carlo tree search, and combinatorial optimisation, and prototyping in Python. Candidates must be eligible to work in Australia and hold citizenship of Australia or another Five Eyes nation.
Research Scientist – AI Enabled Decision-Making
Praetorian Aeronautics is seeking a Research Scientist in AI-enabled decision-making to design and validate algorithms for autonomous and semi-autonomous systems. The role involves formulating decision-making problems as MDPs/POMDPs, applying reinforcement learning, Monte Carlo tree search, and combinatorial optimisation, and prototyping in Python. Candidates must be eligible to work in Australia and hold citizenship of Australia or another Five Eyes nation.
Salary
Core Qualifications
Technical (Must-have)
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Formulate and solve sequential decision-making problems as MDPs or POMDPs using RL, MCTS, and value/policy iteration
- Design combinatorial optimisation approaches (LP/IP, genetic algorithms, greedy heuristics) for single- and multi-objective resourcing and allocation problems
- Prototype and validate algorithms in Python using standard ML/DL tooling (Scikit-Learn, PyTorch, etc.)
- Extend approaches into partially observable and multi-agent settings where relevant
- Work with flight sciences and engineering teams to translate research into deployable decision-making capability
- Contribute to the team's publication record where opportunities align with commercial priorities