Connectionists: Fully funded PhD Research Fellowship in machine learning and information retrieval for full body motion data
Kristian Nymoen
kristian.nymoen at imv.uio.no
Wed May 9 02:36:41 EDT 2018
A fully funded Doctoral Research Fellowship is available within the Robotics and Intelligent Systems group (ROBIN)<http://www.mn.uio.no/ifi/forskning/grupper/robin/> 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.
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 RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion<http://www.hf.uio.no/ritmo/english/> 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.
The recruited PhD candidate will research machine learning techniques for full-body motion capture data, including:
1. Automated generic post-processing techniques for motion capture data (automatic marker recognition and prediction of missing marker locations).
2. Automated classification dance styles from full body motion capture data.
3. Explore deep learning techniques for automated synthesis of dance movement.
Qualification requirements
- A Master’s degree in a relevant field such as computer science, machine learning, biokinematics or music information retrieval.
- A solid background in computer science and machine learning.
- Competence in one or more of the following fields: deep learning, motion capture technology, biokinematics, data analysis, digital signal processing, and music.
- Personal suitability and motivation for the position.
- Fluency in English<http://www.mn.uio.no/english/research/phd/application/application.html>
We offer
- Salary NOK 436 900 – 490 900 (approx. EUR 45 000 – 50 000) per year depending on qualifications and seniority
- A professionally stimulating working environment
- Attractive welfare benefits<http://www.uio.no/english/for-employees/employment/welfare/>
- Membership in the Norwegian Public Service Pension Fund
Closing date for applications: 4th June 2018
Starting date: No later than 1st October 2018
Please see the online recruitment portal for more information and a link to the application form:
https://www.jobbnorge.no/en/available-jobs/job/152613/phd-research-fellowship-in-machine-learning-and-information-retrieval-for-music-related-movement
Contact: Associate Professor Kristian Nymoen, krisny at ifi.uio.no<mailto:krisny at ifi.uio.no>
__________
Med vennlig hilsen / Best regards,
Kristian Nymoen
Associate Professor
RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion
Department of Musicology and Department of Informatics
University of Oslo
Office phone: (+47) 22841693
Mobile phone: (+47) 99708138
http://people.uio.no/krisny
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