PhD Fellow: Real-Time Anomaly Detection in Statistics

University of Oslo; Norway; On-site; NOK 450,000 - 550,000; Full time

Job summary

A prestigious university in Norway is seeking a PhD candidate to contribute to cutting-edge research in online anomaly detection within mathematical statistics. The successful candidate will engage in rigorous methodologies applicable to real-time streaming data, benefiting from interdisciplinary collaboration with the Statistics and Data Science group and external partners. This role is a full-time temporary position, and ideal candidates will have a strong theoretical background as well as an interest in computational efficiency.

Qualifications

• Applicants must have a strong background in mathematical statistics.
• Must master theoretical work and have an interest in computational efficiency.

Responsibilities

• Contribute to research in online anomaly detection.
• Work on rigorous, trustworthy, and transparent methods for streaming data.

Skills

Background in mathematical statistics

Interest in computational efficiency

Education

PhD in a relevant field

Job description

A prestigious university in Norway is seeking a PhD candidate to contribute to cutting-edge research in online anomaly detection within mathematical statistics. The successful candidate will engage in rigorous methodologies applicable to real-time streaming data, benefiting from interdisciplinary collaboration with the Statistics and Data Science group and external partners. This role is a full-time temporary position, and ideal candidates will have a strong theoretical background as well as an interest in computational efficiency.