28 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Oslo
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innovation. Colourbox via Unsplash Colourbox Qualification requirements Required qualifications: PhD in machine learning, statistics, computational biology, applied mathematics, physics, or similar. Eligible
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motivation to carry out the project and teach at the department. The hiring process will include an interview. Applicants must have a PhD degree in human geography or equivalent. Only candidates who received
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/biomechanical analysis, computer vision approaches to pose tracking from video, surface electromyography (EMG) recording and analysis, vocal recording and analysis, dataset preparation, time-series analysis
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and/or vocalization, motion capture recording and motion/biomechanical analysis, computer vision approaches to pose tracking from video, surface electromyography (EMG) recording and analysis, vocal
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. The candidate will be part of the PhD education and program at TIK and the Faculty and will be supported and supervised by the senior researchers in the project. For both the PhD and the postdoctoral research
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, statistics, machine learning, mathematics, data science, computer science or another relevant field. Doctoral dissertation must be submitted for evaluation by the closing date. Appointment is dependent
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for 3 years. The project is conducted in close collaboration with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation
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, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement rule-based methods. The candidate will collaborate closely with the PI and the project team and co
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requirements PhD or equivalent academic qualifications with a specialization in AI in areas relevant for the project (e.g., MIR, computational music analysis). The applicant is required to demonstrate how
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approved. Desired qualifications and competencies PhD thesis relevant to the proposed research project Expertise in machine learning Additional expertise in one or more of the following: digital signal