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mathematical or programming skills or candidates with an applied Mathematics, Computer Science or AI background looking to move towards Engineering. What we can offer In addition to salary, we offer
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Science, Oceanography, or closely related fields by time of application. Strong mathematical skills and significant programming experience (e.g. Fortran, Matlab, Python, Linux). Significant experience
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, or a closely related discipline. Strong background in the mathematical modeling of multiscale and multiphysics phenomena, including proven application of dimensional analysis, fractal analysis, and
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research will combine machine learning, mathematical modelling and algorithm design to enable autonomous operation of large satellite constellations. You will also develop an open-source simulation
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who has: PhD in Economics, Mathematical Sciences, Comp u ter Science, Environmental Science (with a quantitative foc u s) or related fields; strong experience in large-scale data processing and
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and working methods across all space domains. The overarching goal of this research fellowship is to develop and study advanced theoretical frameworks for deep learning, understand their mathematical
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and beamforming, waveform/transceiver design, radio-resource management, environment reconstruction or AI/ML for wireless systems. Excellent mathematical and analytical ability, supported by strong
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position is in Oslo. Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly
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following: mathematical programming; multi-objective optimisation; simulation-based optimisation; stochastic and robust optimisation; heuristic and metaheuristic optimisation; transport, logistics
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background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong analytical and mathematical problem-solving skills. Experience with programming