30 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at KTH Royal Institute of Technology
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these plants. The post-doc is expected to build upon existing in-house tools and, where applicable, enhance them by means of AI (machine learning) and data-driven methods. These models are aimed to support
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with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH
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authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives Contact information to trade union representatives. To apply for the position Log into KTH's
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university and public authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives Contact information to trade union representatives. To apply
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university and public authority. Learn more about our benefits and what it's like to work and grow at KTH Type of employment: Temporary position Contract type: Full time First day of employment: 2026-08-17
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university and public authority. Learn more about our benefits and what it's like to work and grow at KTH Type of employment: Temporary position Contract type: Full time First day of employment: 2026-08-17
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support the teaching activities courses at KTH and further develop methodologies and algorithms for the quantum computer simulators. Qualifications Requirements A graduate degree or an advanced level
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are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it's like to work and grow at KTH Type of employment: Temporary
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themes: Trust, Cooperation, and Learn. Digital Futures Research Matrix What the call offers The opportunity to conduct research in a new research group at a leading university of institute within
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data