PhD Researcher in Artificial Intelligence and Quantum Technologies

24 hours ago


Sydney, New South Wales, Australia beBeeArtificial Full time $120,000 - $170,000

Unlock the potential of artificial intelligence and quantum technologies to solve real-world challenges in energy, science, and engineering. As a PhD candidate at the Australian Artificial Intelligence Institute, you will be part of a dynamic research team in one of Australia's most innovative universities.

">Job Description
  • This is a unique opportunity to conduct your doctoral research in a world-class institute, collaborating with top international universities and industry leaders. You will contribute to solutions with significant societal and industrial impact.
Required Skills and Qualifications
  • A strong academic background in computer science, artificial intelligence, quantum computing, electrical engineering, materials science, or a closely related field.
  • Proficiency and interest in machine learning, quantum technologies, optimization, control systems, and energy systems.
  • Motivation to conduct high-quality research and contribute to innovative solutions in AI and quantum science.
  • Excellent analytical, problem-solving, and communication skills.
  • The ability to work independently as well as collaboratively within a diverse research team.
Benefits
  • 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).
  • 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.
  • Vibrant academic environment at UTS ensures that students are well-prepared for successful careers in academia, industry, or entrepreneurship.
Others
  • The available PhD projects span several high-impact areas at the intersection of artificial intelligence, quantum science, and engineering: AI for battery and energy systems, AI for science and quantum, Quantum machine learning, and Classical and quantum systems control, learning, and optimization.


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