진학프로석·박사 채용 접수 플랫폼

The University of Oslo, Department of Mathematics, Section for Statistics and Data Science invites applications for a postdoctoral position within the research project “Statistical Methods for Online Detection of Anomalies” (SODA), newly funded by the Norwegian Research Council and affiliated with Integreat – the Norwegian Centre for Knowledge-driven Machine Learning.

We are looking for a motivated researcher, who has experience with both theoretical, methodological and applied research in change and anomaly detection in sequential data settings, and who is excited to contribute to an active and collaborative research environment.

We welcome applicants with a strong background in mathematical statistics, who are eager to contribute to cutting-edge research in the field of online (real-time) anomaly detection in the setting of sequential data. The SODA project aims to produce rigorous, trustworthy and transparent methods with strong theoretical performance guarantees, addressing several pressing challenges in contemporary streaming data scenarios, such as evolving baselines and complex, data-intensive settings. The applicant must master theoretical work in the field of change and anomaly detection and estimation, as well as having a strong track record in relation to computational efficiency, which is fundamental in real time processing of streaming data.

For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/283674/postdoctoral-research-fellow-in-statistics-with-focus-on-change-and-anomaly-detection