40 parallel-and-distributed-computing-phd positions at AALTO UNIVERSITY in United Kingdom
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Khakalo via email (sergei.khakalo@aalto.fi ) with the subject “PhD/Postdoc position in Computational Structural/Solid Mechanics”. In questions related to the recruitment process, please contact our HR unit
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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at the Department of Chemistry and Materials Science, Aalto University, is looking for three PhD students to join cutting-edge research projects in atomistic modeling, machine learning, and computational materials
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shrimps. In parallel with your experimental work, you would develop theoretical models in collaboration with our international collaborators. You would also develop advanced image analysis schemes
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2019 https://doi.org/10.1038/s41596-018-0110-x and Lara et al ., arXiv:2503.21396 https://doi.org/10.48550/arXiv.2503.21396 )). In parallel with your experimental work, you would develop theoretical
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Theoretical Quantum Materials We invite applications for a PhD position in theory of quantum materials at Aalto University, Department of Applied Physics. The position is part of the FUN-VAN Research Council
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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superconducting qubits and millikelvin electronics Did you recently get your PhD in circuit quantum electrodynamics (cQED) and are now looking into taking the full potential of your skills into use for making new
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature