We are looking for a highly motivated PhD researcher to work on a project on the use of infrared frequency comb spectroscopy enhanced by machine learning to, on the one hand, support the analysis of the broadband spectra obtained and, on the other hand, relate measured spectra, corresponding plasma parameters, and relevant process control parameters. * Develop and apply machine learning algorithms for data analysis and data-driven physics-constrained correlation mining * Knowledge of programming languages and analysis software (Matlab, Python, Origin, etc.) would be an advantage.
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