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the following areas: deep learning, reinforcement learning, imitation learning, robot perception, navigation, and manipulation. Experience with whole-body control, humanoid or multi-DOF platforms, and
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-terrestrial networks, and the performance evaluation of these solutions in challenging IoT scenarios. The position involves both theoretical and experimental research, including algorithm design, simulation
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interests, your motives for applying, and how you meet the qualifications, Curriculum vitae (CV) with publication list, Verified copy of doctoral degree certificate or documentation that clarifies when
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mathematical modelling and machine learning both using simulated and real data. The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than
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the research cluster The AI Welfare State, which aims to develop new knowledge about emerging AI-related vulnerabilities, including false information, dependence on foreign infrastructures and bias in automated
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established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
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work Experience in mechatronics and system integration, as well as modelling and simulation of robotic, automation, or production systems Experience in teaching within relevant technical fields Ability
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, fatigue, creep etc.), other AM technologies (PBF-EB, DED), in-situ process monitoring during PBF-LB (optical tomography, melt pool monitoring, etc.), thermodynamic simulations, advanced materials
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professional experience and knowledge. Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any
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. The application must include: CV including relevant professional experience and knowledge. Copy of diplomas and grades from your previous university studies. In case you plan to defend your PhD thesis after