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Field
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Control” (DP250101137). The Postdoctoral Research Fellow is expected to undertake research on control theory and machine learning techniques for project DP250101137. The Postdoctoral Research Fellow will
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 11 hours ago
collaborative and forward-thinking research team working across decision and control theory. Responsibilities will include contributing to student mentorship at undergraduate and master's levels and co
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Australian National University | Canberra, Australian Capital Territory | Australia | about 5 hours ago
optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a collaborative and forward-thinking research team working across decision and control theory
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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of full time with no teaching obligations. About the PhD-project Quantum reference frames have become an important tool for understanding foundational issues in quantum theory, and more recently, the
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Responsibilities: Develop and apply phase field formulations for dynamic shear rupture in elastic and visco-elasto-plastic media Investigate the physical processes controlling nucleation, propagation, and arrest
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for understanding foundational issues in quantum theory, and more recently, the structure of observable algebras in quantum field theory. This project looks at time observables as quantum reference frames of both
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. Strong foundation in at least one of the following areas: Adaptive control theory Guidance and path planning Machine learning for control or estimation Excellent communication skills and a demonstrated
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of fidelity measures. Play a key role in contributing health psychology expertise (theory and methods) to the development and roll-out of a randomised controlled trial and mixed methods evaluation. Identify
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efficiently. c) Integrate planning and control algorithms with differentiable simulation technologies to build a trajectory data collection system that generates high-quality, diverse task data for vision