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Are you completing / have completed a PhD in electrical machines or electromagnetics and looking for an ambitious next step in your research career? We are looking for a talented and highly
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, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc
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will focus on the development of AI-enabled programmable coherent fibre-laser arrays. You will investigate how the spatial properties of coherent optical fields can be measured, predicted and controlled
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models. Hybrid physics-AI modelling is thus emerging as a promising path towards accurate, physically consistent and efficient climate predictions. This PhD project will focus on AI-based downscaling
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interpretation of ultrasound imaging. Research Focus and Work Performed: Develop AI models that connect echo findings with genomic data to predict cardiovascular risk and disease progression in diverse populations
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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adaptation with an urgent applied challenge: predicting the evolutionary sustainability of biological control. Extended research stays in Brazil will be central to the project, including close collaboration
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). The position is part of the research project ThermRisk: A Personalized Digital Human Model for Predictive Thermal Risk Assessment. ThermRisk is a collaborative project between three faculties at HVL: the Faculty
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Futures Observatories and remote sensing products to evaluate model performance and diagnose deficiencies. Comparisons to model predictions using the Cold Regions Hydrological Model, Canadian Hydrological
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, generating process, material, and structural data to support model development, validation, and process consolidation. Develop and apply physics-based and data-driven modeling frameworks to describe, predict