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Field
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candidate should be able to show research experience in national and/or international projects on process modelling and simulations, including both steady state and dynamic modelling and techno-economic
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planning. Who we are looking for The following requirements are mandatory: A doctoral degree in computer science, artificial intelligence, applied mathematics, physics, electrical engineering, or a closely
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will strengthen your application: It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline. Experience with differentiable physics
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the textile field within and outside academia with the help of applied AI for analysis of sensor data and time series in textile production, with the goal of developing intelligent solutions for process
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practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high-dimensional
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hostile or degraded conditions, such as cyber threats, physical infrastructure damage, and extreme weather. Your work focuses on the transport network layer that interconnects radio access, edge, and core
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or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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engineering, industrial engineering, applied physics, or similar). This eligibility requirement must be met no later than the time the employment decision is made A solid background in dynamic systems, optimal
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, mathematics, statistics, physics, molecular biology, microbiology, ecology, or systems biology – or an interest in gaining experience in these areas. Personal qualities such as collaboration, communication
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science, computational social science, or disruption modelling. About us The candidate will be based at the Division of Physical Resource Theory at Chalmers University of Technology in Gothenburg, Sweden