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Field
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Engineering, Computer Science, or a related field. Accompanying Knowledge, Skills, Abilities and Competencies Excellent abilities in molecular modeling and simulations (molecular dynamics or Monte Carlo
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-based analysis of structures - Experience with Monte Carlo simulation, FORM/SORM, or similar methods - Ability to work with experimental, monitoring, or inspection data for model updating and uncertainty
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Matter Physics, and the Ce pyrochlores represent some of the best current candidates. The aim of the project will be achieved by developing state-of-the-art Variational Monte Carlo simulations to determine
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algorithms used in scientific computing, such as linear solvers, optimization methods, or stochastic sampling techniques (e.g., Markov Chain Monte Carlo). Experience developing or using advanced computational
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for structural load-bearing capacity, deterioration processes, or life-cycle-based analysis of structures - Experience with Monte Carlo simulation, FORM/SORM, or similar methods - Ability to work with experimental
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, electroweak and Higgs physics, flavour physics, model building, Monte Carlo simulations, precision standard model physics, neutrino physics, particle astrophysics, strong interactions and novel computational
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, using a combination of well-established and robust analysis tools (e.g. mu-analysis) and Monte-Carlo time domain non-linear simulations, including variations in all the uncertainties expected in
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coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics, computational fluid dynamics, activation decay codes, kinetic Monte Carlo codes, particle transport
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accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo radiative transfer code SIROCCO. The postholder will carry out research involving theoretical and
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skills with Python. Desirable qualifications: Previous experiences with kinetic Monte Carlo. Previous experience with machine learning applications in molecular modelling, including experience with