PhD Research Fellow in Statistics and Data Science (304185) | University of Oslo
About the position
We invite applications for position as PhD Research Fellow in Statistics and Data Science available at Department of Mathematics.
Preferred starting date as soon as possible.
The fellowship period is three years.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
The place of work is Department of mathematics at Blindern Campus, Oslo. The position is associate with the newly established Norwegian Maritime AI Centre, a national initiative for research, innovation, and education in artificial intelligence for the maritime sector. Here you will work together with other PhD candidates and researchers, as well as world leading industry partners.
The candidate will be affiliated with the Statistics and Data Science Section. The section is active in many areas of applied and theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning.
Modern vessels produce vast amounts of multivariate data streams. The project addresses the development of trustworthy statistical and machine learning methods for anomaly detection in such streaming data (time series), potentially extended to spatio‑temporal settings. The emphasis is on online, real‑time detection, which imposes strict constraints on the computational efficiency and latency of the detector. The candidate will develop generic, broadly applicable methods that can be adapted for monitoring the state, performance and health of maritime equipment and systems, as well as for maritime traffic surveillance.
The project will benefit from the anomaly detection research environment in the Norwegian Center for Knowledge‑driven Machine Learning (Integreat) and the ongoing project Statistical Methods for Online Detection of Anomalies (SODA), providing supervision and collaborators with expertise that spans from maritime applications to the derivation of theoretical guarantees.
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