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A fully funded Doctoral Research Fellowship is available within the <a href="http://www.mn.uio.no/ifi/forskning/grupper/robin/" class="">Robotics and Intelligent Systems group (ROBIN)</a> at the Department of Informatics, University of Oslo. The main area of
focus within the position is automated classification of full body motion capture data, including automating techniques for post-processing and matching against semantic descriptions of the data.<br class="">
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The appointment is for a period of 3 years. There might be a possibility to extend to 4 years depending on the qualifications of the recruited candidate, and the department’s need for teaching and lab assistants. The recruited candidate will be working at the <a href="http://www.hf.uio.no/ritmo/english/" class="">RITMO
Centre for Interdisciplinary Studies in Rhythm, Time and Motion</a> with leading researchers in Informatics, Musicology and Psychology, with access to state-of-the-art facilities in sound/video recording, motion capture, eye tracking, physiological measurements,
various types of brain imaging (EEG, fMRI), and rapid prototyping and robotics laboratories.<br class="">
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The recruited PhD candidate will research machine learning techniques for full-body motion capture data, including:<br class="">
<span class="Apple-tab-span" style="white-space: pre;"></span>1. Automated generic post-processing techniques for motion capture data (automatic marker recognition and prediction of missing marker locations).<br class="">
<span class="Apple-tab-span" style="white-space: pre;"></span>2. Automated classification dance styles from full body motion capture data.<br class="">
<span class="Apple-tab-span" style="white-space: pre;"></span>3. Explore deep learning techniques for automated synthesis of dance movement.<br class="">
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<b class="">Qualification requirements</b><br class="">
- A Master’s degree in a relevant field such as computer science, machine learning, biokinematics or music information retrieval. <br class="">
- A solid background in computer science and machine learning.<br class="">
- Competence in one or more of the following fields: deep learning, motion capture technology, biokinematics, data analysis, digital signal processing, and music.
<div class="">- Personal suitability and motivation for the position.<br class="">
- <a href="http://www.mn.uio.no/english/research/phd/application/application.html" class="">Fluency in English</a><br class="">
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<b class="">We offer</b><br class="">
- Salary NOK 436 900 – 490 900 (approx. EUR 45 000 – 50 000) per year depending on qualifications and seniority<br class="">
- A professionally stimulating working environment<br class="">
- <a href="http://www.uio.no/english/for-employees/employment/welfare/" class="">Attractive welfare benefits</a><br class="">
- Membership in the Norwegian Public Service Pension Fund<br class="">
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<b class="">Closing date for applications: 4th June 2018</b><br class="">
Starting date: No later than 1st October 2018<br class="">
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Please see the online recruitment portal for more information and a link to the application form:<br class="">
<a href="https://www.jobbnorge.no/en/available-jobs/job/152613/phd-research-fellowship-in-machine-learning-and-information-retrieval-for-music-related-movement" class="">https://www.jobbnorge.no/en/available-jobs/job/152613/phd-research-fellowship-in-machine-learning-and-information-retrieval-for-music-related-movement</a><br class="">
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Contact: Associate Professor Kristian Nymoen, <a href="mailto:krisny@ifi.uio.no" class="">krisny@ifi.uio.no</a><br class="">
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__________<br class="">
Med vennlig hilsen / Best regards,<br class="">
<br class="">
Kristian Nymoen<br class="">
Associate Professor<br class="">
RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion<br class="">
Department of Musicology and Department of Informatics<br class="">
University of Oslo<br class="">
Office phone: (+47) 22841693<br class="">
Mobile phone: (+47) 99708138<br class="">
<a href="http://people.uio.no/krisny" class="">http://people.uio.no/krisny</a></div>
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