PhD Research Fellow in Statistics and Data Science
Publisert
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 26 500 students and 7 200 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic.
We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff. The department represents a leading research environment in mathematical areas in Norway, and has a highly international profile.
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
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.
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 physical adjustments, or other practical measures.
If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian).
The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here.
We hope you will apply for the position with us.
How to apply
The application must include:
Cover letter - statement of motivation and research interests
CV (summarizing education, positions and academic work - scientific publications, if applicable)
Copies of the original Bachelor and Master’s degree diploma and transcripts of records
Documentation of English proficiency if applicable
List of publications (if applicable) and academic work that the applicant wishes to be considered by the evaluation committee
Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job". Foreign applicants should attach an official explanation of their University's grading system.
When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.
General information
The best qualified candidates will invited for interviews.
Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us.
