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University of Oslo: Researcher in machine learning modeling of human physiological models
Position as Researcher available at the Center for Computing in Science Education (CCSE) and the Techwell center, Department of Physics, Faculty of Mathematics and Natural Sciences, University of Oslo.
The position is for a period of 2 years and will be associated with the Maxsense project, which is financed by the Norwegian Research Council as a collaboration between the University of Oslo, SINTEF and several industry partners.
The goal of the Maxsense project is to develop methods, techniques and the research basis for a portable AI-based, marker-free 3D modelling system to generate personalized musculoskeletal models. We utilize recent advances in programming tools for hybrid physics-AI problems and combine them with fundamental knowledge about human physiology to create personalized models (or avatars) from observations of humans in motion. Combining physiological models with data from sensors on and around the user, we get high-value data that can be used to improve training, work situations or product design.
The researcher is expected to contribute to the development of machine learning methods for the development of musculoskeletal models with emphasis on (i) curriculum learning based approaches to control complex motions of physiological models in physical environments such as the motion of the whole body during sitting, walking, running or performing sports; or (ii) generative machine-learning models for physiologically realistic avatar construction from image or point-cloud data.
Deadline for applications 1st of December 2024
Position as Researcher available at the Center for Computing in Science Education (CCSE) and the Techwell center, Department of Physics, Faculty of Mathematics and Natural Sciences, University of Oslo.