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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- University of Bergen
- Norwegian University of Life Sciences (NMBU)
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Field
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setting Descriptive and predictive exploration of the data set by statistical analyses and machine-learning Discussion, write-up (thesis, scientific articles) and dissemination of findings. The successful
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doctor and research assistant Preferred selection criteria Knowledge in statistical learning/machine learning, estimation techniques Experience with general process modelling Experience with methods from
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development of machine tools experience in CNC machine operation experience with modelling of material, process, or product behavior (like using analytical, finite element (FE) analysis, data-driven modelling
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professionally relevant background with a master’s degree (or similar level) involving computational science (machine learning and modelling), and electrochemical experimentation on batteries and pouch cell
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areas: Machine learning; Reliability, availability, maintainability, and safety (RAMS); Marine/Control engineering education must correspond to a five-year Norwegian degree program, where 120 credits
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partners of NorwAI. Required selection criteria You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining, with a research-oriented master’s thesis
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will enable fabrication of modules with very strict requirements on geometrical tolerances without costly machining of the included parts. By utilizing primary aluminium produced with renewable
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costly machining of the included parts. By utilizing primary aluminium produced with renewable electricity in combination with a high amount of PCS it will be possible to produce aluminium parts with a
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to an obtained doctoral degree. The PhD candidate will investigate fundamental issues on edge intelligence, with focusing on distributed learning and inference of foundation models in the IoT-Edge-Cloud continuum
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Experience with AI and machine learning applications is welcome. Personal characteristics Willingness to learn new fields in a multidisciplinary research environment. Problem solver, with ability and