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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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Campus in Viken. The Department of Mechanical, Electrical and Chemical Engineering at the Faculty of Technology, Art and Design (TKD) has a vacant PhD Fellowship position in Wind Turbine Aerodynamics
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of the following areas: robotics, machine learning, robot perception, underwater systems, nonlinear control, system modelling, or autonomous manipulation Strong programming skills and a solid
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. Experience with programming, modelling, statistical analysis, or the use of data analytics, machine learning or artificial intelligence methods is desirable. Personal qualities Strong ability to follow through