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PhD: Vacancy: PhD position Machine Learning for engineering (ML4ENG)
Where: IDLab, Ghent University - imec, Belgium Belgium
What: The activities of the PhD position are embedded in this stimulating environment with a focus on data-efficient machine learning (or surrogate modeling) techniques to solve complex and challenging engineering problems with use cases from various engineering disciplines such as electrical and mechanical engineering.

In particular, the goal of the PhD research is to design tools and techniques to improve key parts of the engineering design pipeline, aiding designers in several computer aided design (CAD; design and analysis of computer experiments) activities such as uncertainty quantification, calibration, sensitivity analysis, design space exploration and optimization, etc. Machine learning algorithms such as Gaussian Processes and Bayesian optimization will be used to create a modern design flow, e.g., for the efficient design of electromagnetic and electronics circuits. This includes techniques for physics-informed modeling, generative design, preference-based learning, explainable engineering design, spatiotemporal modeling, efficient data collection and labeling, etc. The proposed PhD research is defined within the context of several national and international research projects on automation in machine learning (AutoML).


Who: Ivo Couckuyt - ivo.couckuyt@ugent.be
When: Until 2023-02-28 00:00
Presented at next GECCO?: no



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