27 quantum-computing "https:" "https:" "https:" "U.S" PhD positions at University of Birmingham
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We are seeking motivated candidates for a 3.5-year PhD project in Quantum Magnetism in the School of Physics and Astronomy at the University of Birmingham. Quantum magnetism is a research field at
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2D materials, searching for exotic quantum functionalities to form new sustainable electronics and new types of computing. Tuning nanostructures of these materials with extreme pressure will unlock
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properties. Our group uses theoretical and computational chemistry, physics, and materials science in combination with chemical machine learning to explore and exploit diverse functional organic and hybrid
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have partnered with AWE to fund a 4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in oxide scintillators. We will
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. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
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Website https://www.bham.ac.uk/ https://www.heatherflowe.com/ https://www.birmingham.ac.uk/staff/profiles/psychology/colloff-melissa https://www.birmingham.ac.uk/staff/profiles/computer-science/academic
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, eligibility is restricted to UK nationals. Informal enquiries are encouraged and should be directed to: Dr Richard Horniblow, r.horniblow@bham.ac.uk https://www.engineered-microbiome.co.uk/
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15 Jan 2026 Job Information Organisation/Company University of Birmingham Department School of Psychology Research Field Psychological sciences » Cognitive science Computer science Researcher
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Programme grant can be found at https://oncoeng.org/ Funding notes: The PhD project is funded through a University of Birmingham, School of Engineering PhD scholarship which provides maintenance
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and