Digital Wellbeing


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Digital Wellbeing:

Machine learning and visualization platform in Stockholm

The activity aims to develop a machine learning back-end for analyzing human movement to identify and prevent work related injuries.

Action Line: Digital Wellbeing

Location: Stockholm

The EIT Digital project "Machine learning and visualization platform for analysis and classification of human movement", is searching for two (2) candidates for roles in Stockholm and Eindhoven.

Within this project, we are developing a machine learning back-end for analyzing human movement, to identify and prevent work related injuries. The work will also consist of integrating databases and machine learning algorithms with the user interfaces. The project also involves development of a front-end service involving user-interface design and 3D-visualization, which will be based in Eindhoven. Commercial partners from health ( and data analytics ( are also involved in the project.

For the Stockholm position, we are looking for a candidate that has knowledge, skills and experience in machine learning, and can understand the requirements of the partners developing the 3D-visualisation front end. The role will involve all elements of machine learning including data farming, data preparation, data analysis, creation of algorithms, database management, and integration with software and front-end web applications. It is an advantage to have some knowledge of 3D data and health informatics, but not compulsory.

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