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Übersicht PhD on Quantum Computing × AI for Optimization 100%, Zurich, fixed-term Drucken We invite applications for a PhD position at the intersection of quantum computing and artificial
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Skip to main content Search Menu Norwegian version Job openings PhD fellowship in quantum computing, optimization on noisy gate-based NISQ platforms Location Oslo Apply by 6 November 2026 Position
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solving security assessment and optimization problems at unprecedented speed and scale. While high-performance computing (HPC) has become the backbone of large-scale power system simulation, emerging
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feeds Scaling analog in-memory computing towards large generative AI models H/F 74 / 767 vacancy Vacancy details Position description Category Micro and nano technologies Contract Internship Job title
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computing, the approach is fundamentally different from a conceptual point of view. In this project we aim to devise and test novel approaches to solving hard optimization problems, problems which are
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geometry, number theory, data. * Qin Li: Scientific computing, machine learning, inverse problems. * Hanbaek Lyu: Combinatorics, probability, optimization, and machine learning. * Laurentiu Maxim
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major challenge for both classical quantum chemistry and future quantum-computing applications. This PhD project will contribute to the development of automated and data-driven approaches for building
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students a chance to explore cutting-edge concepts in AI-driven infrastructure management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research
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. Familiarity with uncertainty modelling, stochastic programming, robust optimization, or real-time decision-making. Interest in quantum computing or quantum-inspired optimization methods. Good programming skills
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and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a