30 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Computer Vision Center" positions at EPFL
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and associated environmental impacts. Contribute to short-term (2026 to 2030) and long-term (2030 to 2050) verticalisation forecasting models based on machine learning, and to their validation against
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-value experience for participating companies and alignment with institutional objectives. Acquire a thorough understanding of companies and professors' needs and ensure appropriate collaboration models
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to learn Working proficiency in English and French (written/spoken) We offer Excellent international working environment with access to world-class facilities A young, dynamic, flexible and highly motivated
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor devices or metrology. We offer We offer a fully funded
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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to meet deadlines. Detail-oriented with a commitment to continuous learning and team collaboration. We offer Full-time permanent position according to Swiss federal salary scales. Work at a world-class
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teaching in key computing areas, including High-Performance Computing (HPC), Artificial Intelligence and Machine Learning (AI/ML), scientific computing, trusted research environments, storage, and data
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interest in contributing to both the conceptual and empirical dimensions of research Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the
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physiological acquisition systems; real-time data acquisition; motion capture or positional tracking; Bayesian or hierarchical modeling; reinforcement-learning models; effort-discounting or decision-making models