Two fully funded and salaried PhD positions are available in the Marie Skłodowska-Curie Doctoral Network “IN DEEP”. These PhDs provide an exciting training opportunity for candidates with an interest in physical activity measurement technology. Both PhDs will include secondments on data processing methodologies for activity monitors with industry partner Sens Motion (Copenhagen, Denmark) and on large scale data collection at the Norwegian School of Sport Sciences (Oslo, Norway).
PhD1 (Based at the University of Limerick, Ireland)
This project aims to improve the measurement of Physical Activity Behaviours (PABs). The successful candidate will develop device-based activity monitoring using the Sens device in children and adults. The PhD will focus on development of machine learning algorithms to identify specific behaviors in accelerometer data recorded using the Sens device, and will apply this methodology in a large-scale data collection. This PhD would suit a candidate with previous experience of machine learning. Interested candidates should contact Professor Alan Donnelly; Further information and application details are available at https://www.indeep-project.eu/vacancies/current-openings. Applications should be submitted to
PhD2 (Based at the University of Agder, Norway)
This PhD project revolves around measurement of PABs (levels and types) ad focus on the development and application of device-based activity monitoring of PABs in a family context (youth and parents). The aim of this project is to develop methods for the accurate measurement of PABs, and to apply those methods to the whole INDEEP study population and report the findings. This PhD student will work on the development and on the validation of Machine Learning methods of data processing, and will have a significant role in data collection. Interested applicants should contact Professor Bjørge Herman Hansen, Further Information and application details are available here: https://www.jobbnorge.no/en/available-jobs/job/259114/phd-research-fellow-in-sport-science