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by applying modern statistical-mechanical models of how fluid mixtures respond to fast removal of solvents during processing.For this project, which takes place in the context of a collaboration with
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PhD position in the statistical modelling of the self-organisation of multi-component thin films under forced evaporation. Department(s) Department of Applied Physics Reference number V34.3913 Job
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-Hertogenbosch but sometimes also in Eindhoven or Tilburg or at one of the commercial partners in several locations in Europe. Job requirements Candidates should: Have a MSc. in Mathematics, Statistics
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, mathematics, statistics and signal processing. Preferably you finished a master in Systems and Control, (Applied) Physics, (Applied) Mathematics, Information Technologies, Electrical Engineering or Mechanical
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master’s degree (or an equivalent university degree) related to the fields of expertise of the team, such as Innovation Sciences, Psychology, Information Sciences, Sociology, Statistics, or Philosophy
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and demonstrable (e.g. internship report) knowledge about signal processing and signal analysis (specific knowledge about e.g. cardiac and/or respiratory signals is a merit), and statistical methods
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, Quantum Physics or Chemistry, Statistical Physics, Computational Physics or Chemistry or related subjects. The ambition to excel in energy research and tackle a complex computational and technical problem
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modelling tools for Organic Electronics, and in particular OLEDs. The key aspect of these modelling tools is the statistical simulation of the quantum mechanical processes, involving the dynamics of electrons
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PhD position in the area of stochastic processes and applied probability. The project is related to high-dimensional probabilistic models, combining techniques from probability and optimization, with potential applications to the charging of electric vehicles. A strong background in mathematics...
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, Mechanical Engineering, Biophysics, or a related subject. Experience with statistical physics, computer simulation methods, and programming is an advantage. Affinity with numerical simulations, as well as good