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: Analyze spectroscopic and kinetic data, employ statistical and machine learning approaches where relevant, and contribute to manuscripts, presentations, and reports. Collaboration: Work closely with project
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automata, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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, signal processing and/or wireless communication. Basic knowledge of and/or experience in working with reinforcement learning/other machine learning algorithms Excellent command of spoken and written
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, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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/isy/elda . To learn more about the Department of Electrical Engineering, see: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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/organisation/liu/isy/elda . To learn more about the Department of Electrical Engineering, see: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted
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with major semiconductor companies and academic research organizations worldwide. Feel free to read more about the division here: https://liu.se/en/organisation/liu/isy/elda . To learn more about the
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, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive
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propagation, electromagnetics, optimization, machine learning, and networking. Strong documented experience in these areas is commendable, particularly by having published your work. Candidates should have an