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balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives. If there are qualified applicants with disabilities, employment gaps
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in higher education and research, in and outside academia. A PhD position is available at the Department of Mechanical and Industrial Engineering with the Materials & Manufacturing research group. Your
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particularly qualified to carry out this PhD work. A brief high-level project sketch/project description (maximum 2 pages) for a PhD project according to the project description above. A copy of your CV. A list
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well as the semantics of composition for sequences and event-based composition will be developed. This will allow the investigation of possible vulnerabilities as well as efficient means of mitigating these through
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flexibility. While this solution has been extensively investigated using simulations (meaning “virtual experiments”), there are still limited examples where tailor-made MPC has been deployed and tested in a
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the processes, drivers, and consequences of changes in the species composition of tundra ecosystems. Duties of the position The work of the PhD candidate will likely consist of field work, herbarium work
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materials, technologies, electrical connections, and sealing systems between BIPV and adjacent non-solar elements. The aim is to assess the influence of Norwegian weather conditions on the energy performance
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chemistry), graphene chemistry, advanced materials characterization (XRD, TGA, STEM, SEM, FTIR, particle size distribution, AFM), experimental physics, chemical engineering, materials science. You will be
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, materials and their condition. Second, simulation of pulse propagation in cables with variable parameters quantified in experimental studies. Third, utilizing signal processing and machine learning to develop
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine