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 Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.
The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.
About the job
Position as Researcher available at the Department of Informatics, University of Oslo.
The position is for a period of 2,5 years.
Starting date as soon as possible.
Place of work is Department of Informatics at Blindern, Oslo.
Project description
The position is part of the RESPIRE project funded by the Research Council of Norway (https://www.mn.uio.no/ifi/english/research/projects/respire/index.html). Respire is an interdisciplinary research project with partners in medicine (Institute of Clinical Medicine (UiO), Oslo University Hospital, Lovisenberg Diakonale Sykehus), ethics (Centre for Medical Ethics (UiO), law (Department of Private Law (UiO), and computer science (Department of Informatics (UiO), Department of Computer Science (National University of Singapore).
The goal of RESPIRE is to develop Machine Learning (ML) solutions for sleep-related disorders of infants and patients with chronic obstructive pulmonary disease that receive mechanical ventilation treatment. These solutions should be (1) explainable to the different users, including patients, health professionals, and ML developers, and (2) responsible with respect ethical and legal considerations. So far the project has collected sleep monitoring data from more than 200 infants with the polysomnography and at the same time with a short range ultra-wideband radar called Somnofy (https://vitalthings.com). Furthermore, the project produces currently extensive amounts of synthetic data with a lung/breathing/ventilation workbench. We refer for more details on these two applications settings to https://www.titan.uio.no/innovasjon/2025/noen-barn-slutter-a-puste-om-natten.html and https://www.titan.uio.no/livsvitenskap/2024/lager-kunstig-«pust»-for-a-fa-gjore-behandlingen-b.html.
Your main tasks will be
Develop ML solutions to analyze the collected sleep monitoring data to detect events of interest, like apneas, ventilator mask leaks, etc.
Develop new solutions for explainability in the application domains of the project.
Contribute to the development of novel solutions for the data orchestration and data management process to improve explainable and responsible ML solutions.
What skills are important in this role?
The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. 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.
Qualification requirements:
Applicants must hold a degree equivalent to a Norwegian master degree in Computer Science in general and in particular related to ML/AI or data management. A foreign completed degree (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational system. The Master’s thesis must have the grade B or better in the Norwegian educational system
Fluent oral and written communication skills in English. Candidates speaking a Scandinavian language will be preferred due to interaction with medical personnel and patients at the involved Hospitals.
Desired qualifications:
The successful candidate must document practical experience and knowledge with at least two of the following challenges:
ML for time-series data
Application of ML in the medical domain
Interpretable ML or explainable AI
Advanced data management solutions for ML
All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation.
What are we looking for in you?
The successful candidate should be interested in interdisciplinary collaboration and to understand scientific methods used in medics, ethics, and law.
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
Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal skills and suitability to fit into the research team.
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.
We can offer you
Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development.
Committed colleagues in a good working environment.
A workplace with good development and career opportunities.
Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes.
Salary in position as Researcher without PhD, position code 1108 in salary range NOK 590 000 - 640 000 depending on competence and experience. From the salary, 2% is deducted in statutory contributions to the State Pension Fund.
Read more about the benefits of working in the public sector at Employer Portal.
Application
Your application must include:
Cover letter (statement of motivation, summarizing scientific work and research interest)
Project description (five pages) that outlines how the applicant intends to address explainable and responsible AI in the given context of the Respire project
CV (summarizing education, positions, pedagogical experience, administrative experience and other qualifying activity)
Copies of educational certificates, academic transcript of records and letters of recommendation
A copy of the Master thesis
A complete list of publications and up to 3 academic works that the applicant wishes to be considered by the evaluation committee
Names and contact details of 2 references (name, relation to candidate, e-mail and telephone number) and two letters of reference (can be from the same references)
Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for the position".
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 cannot, you will hear from us.
