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in data analysis with proven experience with programming in Python Be skilled in experimental work Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the
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experience (e.g., Python, Julia, etc.). Interest in the maritime research area in general, and more specifically, safety, risk assessment, and climate-smart technologies. Ability to work independently and in
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highly advantageous: Scientific programming in Python or MATLAB Probabilistic methods, Bayesian inference, or stochastic modelling Structural mechanics, material modelling, or multi-physics simulation Data
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: Scientific programming in Python or MATLAB Structural mechanics, reliability analysis, or probabilistic modelling Data analytics, SHM/SCADA data interpretation, or digital-twin technologies Wind energy systems