Online Outlier Detection
Work description
State-of-the-art review – online detection of outliers in multivariate time series; Experimental evaluation of concept change detection techniques; State-of-the-art review – online prediction of outliers in multivariate time series.
Academic Qualifications
Relevant education in the field of Computer Science
Minimum profile required
Programming in Python; Attending a PhD programme in Computer Science
Preference factors
Experience with online learning methods; Experience with multivariate time series.
Application Period
Since 20 Nov 2025 to 04 Dec 2025
Centre
Artificial Intelligence and Decision Support