About the position

Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing and Image Analysis (https://www.mn.uio.no/ifi/english/research/groups/dsb/index.html) as part of Visual Intelligence (http://visual-intelligence.no), Norway’s leading research centre in deep learning for image analysis.

https://www.youtube.com/watch?v=t4wvWQEhDEs

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than October 1, 2025.

The fellowship period is three (3) years.

An extension of the appointment by up to twelve months may be considered, which will be devoted to career-enhancing compulsory work duties, e.g. teaching or supervision. This will be dependent on the qualifications of the applicant and the specific teaching needs of the department.

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.

Job description

Position: analysis of subsurface images

Do you want to develop new technology for interpretation of images in the field of geoscience? Improve deep learning methods for multi-modal image data applied to industrial challenges in the energy sector? Contribute to a deeper understanding of the composition of the crust of the earth? Explore how to take benefits of recent research results in foundational neural models, where models learn from large un-labeled image datasets, but also add context using additional data like wireline logs or well reports.

You are suited for this position if you are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications.

Your research focus will be on challenges related to computer vision in a multi-modal setting. You will investigate and develop robust methods for training models, quantifying uncertainty, and introducing explainability in predictions. The work will be done in collaboration with the established data science team of AkerBP in Oslo, and you will be given access to large and consistent industrial datasets for which little research has been done so far.

The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine Learning, Department of Informatics. For more information about the position, see https://www.visual-intelligence.no/about/open-positions. You will be part of Visual Intelligence and the DSB group. We expect that you will engage in collaborative research with other members of the centre and the research group. You will collaborate with user partners within Visual Intelligence, to contribute to the centre’s seminars, to collaborate across innovation areas within the centre, and to seek collaboration between the research partners within the centre. You will be part of a network of young researchers in deep learning in the Visual Intelligence Graduate School https://www.visualintelligence.no/about/vigs

Qualification requirements

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.

Master’s degree or equivalent preferably in machine learning or equivalent fields. A background in computer science/statistics/applied mathematics/physics/electrical engineering will be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision.
A solid documented background in machine learning, deep learning, mathematics, linear algebra, and statistics.
Documented knowledge and solid experience in Python programming.
Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
Fluent oral and written English communication skills

Candidates without a master’s degree have until 30 June 2025 to complete the final exam.

Desired qualifications:

Solid experience with deep learning frameworks like TensorFlow or PyTorch
Demonstrated ability to conduct independent or collaborative research
Experience collaborating with code in a team setting and knowledge of software engineering best practices
Experience with cloud computing platforms (e.g., AWS, Google Cloud)

Grade requirements:

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

Language requirements:

Fluent oral and written communication skills in English

English requirements for applicants from outside of EU/EEA/EFTA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see:

http://www.mn.uio.no/english/research/phd/

Personal skills

Solid analytical skills
Dedication to work with important applications
Ability to lead and conduct research in a collaborative environment
Ability to work independently as well as in multidisciplinary teams
Ability to give and receive constructive scientific criticism

We offer

Salary NOK 536 200 – 575 400 per year depending on qualifications and seniority as PhD Research Fellow (position code 1017).
Attractive welfare benefits and a generous pension agreement
Vibrant international academic environment
Career development programmes.
Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

Inclusive worklife and diversity at UiO

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

We hope that you will apply for the position.

More information about gender equality initiatives at UiO can be found here.

How to apply

The application must include:

Cover letter - statement of motivation and research interests
CV (summarizing education, positions and academic work - scientific publications)
Copies of the original Bachelor and Master’s degree diploma, and transcripts of records
Documentation of English proficiency
List of publications 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)

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 original transcripts or grades. Please note that all documentation must be in English or a Scandinavian language. Foreign applicants should attach an official explanation of their University's grading system.

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”).

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.

Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO (Norwegian) and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo.

The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.

Contact persons

For further information please contact Professor Anne Solberg, phone: +47 228 82435, e-mail: anne@ifi.uio.no

For questions regarding the recruitment system Jobbnorge, please contact HR Adviser Therese Ringvold, e-mail: therese.ringvold@mn.uio.no

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