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intelligence? The Computer Vision Group (CVG) at the University of Bern, Switzerland, invites applications for two PhD positions and two postdoctoral positions across two ambitious research projects
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research environment within the Physical Vision Group (PVG, https://physicalvision.github.io/ ). This will involve closely collaborating with faculty, postdoctoral researchers, and PhD students, bridging
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Primary supervisor Adamu Muhammad Buhari Research area Machine Learning Vision-Language-Action (VLA) models are changing the way robots perceive their surroundings, interpret instructions, reason
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PhD student focusing on Machine Learning of Geometric Representations at ISY Linkoping Reference number LiU-2026-03853 We have the power of over 50,000 students and co-workers. Students who provide
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mathematics, or a closely related field. Relevant experience may include one or more of the following: machine learning, deep learning, or generative modelling computer vision or biological image analysis
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dataset or benchmark to support reproducibility and comparison with future work. The work is expected to lead to publications in established computer vision, machine learning, artificial intelligence, and
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organization to microorganism tracking. A strong candidate may come from machine learning, computer vision, generative modelling, scientific computing, simulation-based inference, or a related area. Who are
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Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements Top-ranked
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professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Your work assignments Machine learning, and in particular deep learning, requires
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vibrant research environment within the Physical Vision Group (PVG, https://physicalvision.github.io/ ). This will involve closely collaborating with faculty, postdoctoral researchers, and PhD students