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PhD Researcher in Quantum Computing and Artificial Intelligence
3 weeks ago
This is a unique opportunity to join a dynamic research team in one of Australia's most innovative universities. As a PhD student, you will be part of a world-class institute at the University of Technology Sydney (UTS), situated in Sydney—a city renowned for its vibrant culture and outstanding quality of life.
The Australian Artificial Intelligence Institute at UTS is inviting applications from highly motivated candidates for multiple PhD positions. This project focuses on artificial intelligence, quantum computing, and energy systems. The available research topics span several high-impact areas at the intersection of these fields:
- Developing advanced AI-based methods for learning, optimization, and condition monitoring in battery and energy systems.
- Creating AI-driven solutions for material engineering design, nanowire single photon detector development, quantum error correction, quantum control design, and quantum sensing.
- Exploring the rapidly advancing field of quantum machine learning, which leverages quantum computing to accelerate traditional machine learning methods.
- Investigating the estimation, control, and optimization of classical and quantum systems, with applications in power systems, quantum devices, and battery technologies.
All PhD positions are based at the Australian Artificial Intelligence Institute, UTS, Sydney. The projects provide extended opportunities for collaboration with leading research groups at the Australian National University (ANU), University of New South Wales (UNSW), Princeton University (USA), and RIKEN (Japan). The institute is committed to fostering an inclusive, innovative, and supportive research culture, where doctoral candidates benefit from expert supervision, interdisciplinary collaboration, and access to state-of-the-art resources.
The ideal candidate should have a strong academic background in computer science, artificial intelligence, quantum computing, electrical engineering, materials science, or a closely related field. They should also demonstrate proficiency and interest in machine learning, quantum technologies, optimization, control systems, and energy systems. Additionally, they should possess excellent analytical, problem-solving, and communication skills, as well as the ability to work independently as well as collaboratively within a diverse research team.
