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Validation with use cases. The primary use case leverages an AI-enhanced web platform for North Sámi language learning. The PhD research will develop a modular verification engine integrated into the platform
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an advantage if you have Interest in the mechanical behavior of materials. Experience with machine learning and/or programming/coding. Experience with finite element modeling from civil, mechanical, or marine
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, wearable physiological sensing, and machine learning to uncover how factors like fatigue and cognitive workload impact technician performance. Join us to develop predictive models that predict human error
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, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will also be assigned relevant teaching as part of the career-promoting work. The appointment is to
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educational competence that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will
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, under challenging field conditions. An ideal candidate should show curiosity and strong (self-)motivation for the subject area, be analytical, structured, independent, approachable, and possess good
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, within a team, under challenging field conditions. An ideal candidate should show curiosity and strong (self-)motivation for the subject area, be analytical, structured, independent, approachable, and
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and accelerate the development of more high-performing PNSEs. The ultimate goal of the project is to develop, implement, and validate novel deep-learning models for molecular dynamics and coarse-grained