9 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions at EPFL
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, Mechanical or Electrical Engineering, Control, Applied Mathematics, or a related field. You should have a solid foundation in machine learning and strong programming skills (Python, deep learning
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LTS2 Lab https://lts2.epfl.ch offers a highly motivating, interdisciplinary scientific environment with many opportunities to interact between different projects and researchers, and has an
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composites, ceramics, and metals (Composites: https://doi.org/10.1016/j.matt.2026.102809 , https://doi.org/10.1021/acsmaterialslett.5c00407 ;Ceramics/Metals: https://doi.org/10.1002/adma.202504951
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machine learning. The project focuses on the discovery of governing equations and constitutive relations for key multiphysics phenomena on the basis of rich micromechanical and experimental data. It pushes
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admitted to an EPFL doctoral school program. For this position, candidates should also apply to the EPFL EDMT Doctoral School : https://www.epfl.ch/education/phd/edmt-management-of-technology/edmt-how-to
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. Main duties and responsibilities The Kim Laboratory at the École Polytechnique Fédérale de Lausanne (EPFL) ( https://www.epfl.ch/labs/upkim/ ) is seeking a highly motivated postdoctoral researcher to
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with colleagues at the ICRC. Write publications. Attend international conferences, both in machine learning and remote sensing. Participate in the educational activities of the ENAC faculty. Your
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Mission We are offering a full-time (100%) PhD position at ENAC at EPFL, Lausanne, Switzerland, within the Plant Ecology Research Laboratory (PERL): https://www.epfl.ch/labs/perl/ The PhD project
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to 2030) and long-term (2030 to 2050) verticalisation forecasting models based on machine learning, and to their validation against official building height layers. WP4 - Coordination of the digital