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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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; Distributed multi-agent sensing and cooperative positioning algorithms; Machine learning and data-driven methods for ambient awareness. Working Environment: The PhD will be conducted at the University
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systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation
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. The PhD will focus on two complementary approaches: 1) Enhancing CDI with machine learning: improve this technique using convolutional neural networks (CNNs) trained on simulated data, enabling faster and
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Classification Title: Assistant/Associate/Full Instructional Professor Classification Minimum Requirements: PhD in engineering or a closely related discipline. Job Description: The Department
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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of Technology seeks a driven and committed PhD student with a focus on the effects of climate change and different adaptation measures on urban streams. Take the opportunity to join one of the leading stormwater
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8 Feb 2026 Job Information Organisation/Company KU LEUVEN Department KBI/FEB Research Field Computer science » Informatics Economics » Business economics Engineering » Computer engineering Economics
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, management science and statistics, FinTech, data science and machine learning. There are currently 51 academic staff and about 154 research personnel in the Department. Please visit the website at https