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computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences
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Quantum computers are on the horizon that could break the encryption protecting our banks, hospitals, and national infrastructure. This fully funded, part-time PhD studentship offers the chance to
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heterostructures for functional quantum devices. The candidate will receive a broad training on computational materials modelling and gain experience with cutting edge quantum transport simulation methods, conduct a
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
qualification equivalent to a Master’s degree in Chemistry, Mathematics or Computer Science by the start of the PhD; A curious mind-set and strong background in quantum crystallography and its underlying
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mechanics or quantum chemistry is required; prior experience with electronic-structure theory or numerical simulation methods is an advantage but not essential, as full training will be provided. How to apply
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spin-lattice dynamics simulations, a framework that combines atomistic spin dynamics (magnons) with molecular dynamics (phonons), to investigate ways of manipulating spins in various magnetic systems
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, including a mixture of classical and quantum mechanics simulations, cheminformatics and machine learning, as well as collaborative software development, providing expertise for a broad range of future careers
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Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years and during the first 6 months you must apply and receive a right to study in the doctoral programme
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generative AI framework that utilizes machine learning predictions and quantum chemistry simulations to design stable, synthesizable, high-performance molecules. The framework will integrate multi-objective