About this role
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. What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials. Required qualifications: Master’s degree or equivalent in statistics, mathematics, machine learning, computer science or a similar field Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Documented knowledge of statistical theory and methods and core machine learning methods Documented Python programming skills Desired qualifications: Experience with change point detection and anomaly detection Relevant experience with data from the maritime sector Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system The Master’s thesis must have the grade B or better in the Norwegian educational system For more information see: The purpose of the fellowship is research training leading to the successful completion of a PhD degree. The University of Oslo is subject to the Norwegian Security Act, which sets requirements for the handling of protected information, in addition to other relevant legislation on sensitive information. It is therefore a requirement for employment that the candidate is personally suitable from a security perspective. Please note that prospective candidates may be asked questions to determine this. Background checks may be performed. It is a requirement for this position that the candidate is eligible to receive a national security clearance at level K. What are we looking for in you? Personal skills: Ability to work both independently and as part of a team Ability to work precise in a structured manner and swiftly adapts to new tasks Good communication and collaboration skills Positive attitude and the ability to handle hectic periods Solution oriented Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications. We can offer you A pleasant and stimulating work environment Good welfare schemes Opportunity of up to 1.5 hours a week of exercise during working hours A workplace with good development and career opportunities Career development programmes Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities Salary in position as PhD Research Fellow, position code 1017 in salary range NOK from 550 800 - 595 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund We need different perspectives in our work UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no . We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues, could you be the next one? We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physic