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programming, one in optimization, and one in machine learning at least one advanced-level course in stochastic processes, or in related subjects such as time series analysis, spatial statistics, spectral
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at KTH Royal Institute of Technology is seeking a highly motivated doctoral student with a strong background and interest in spatial AI, navigation, sensor fusion, optimal estimation, and machine learning
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engineering, including performance and conceptual design Experience in energy systems modelling and mathematical optimization Programming skills in, for example, Matlab, Python, C++, Fortran, or equivalent
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implemented globally. The research includes optimization of the electrochemical processes for mercury removal as well as safe and efficient retrieval of the removed mercury and regeneration of electrodes
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platforms based on bosonic modes, also called CV modes, such as microwave harmonic oscillators used to process quantum information. The project provides a rare chance to develop new theoretical and
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microscopy on magnetic materials and/or the use and development of coherent x-ray microscopy techniques, to join the SoftiMAX team. As part of the team, you will ensure optimal operation of the beamline plus
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interest in working in a cross-disciplinary environment: Micro- and nanofabrication specialist – expertise in clean-room processing, lithography, etching, microfluidic integration, and planar waveguide
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, optimizing, and deploying AI models on HPC and GPU-based systems. Provide guidance on performance optimization, scaling, and efficient resource utilization. Contribute to architectural and design decisions in
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working in a cross-disciplinary environment: Micro- and nanofabrication specialist – expertise in clean-room processing, lithography, etching, microfluidic integration, and planar waveguide fabrication
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position at KTH will focus on optimizing security and performance in different control architectures. We will pursue control-oriented system/attacker modeling, multi-layer detection of cyberattacks, and game