PhD Research Fellow in Deep learning for medical image analysis

About the position

Position as PhD Research Fellow in Deep learning for medical image analysis available at Department of Informatics.

Starting date as soon as possible. The fellowship period is three years.

Depending on the candidate and the teaching needs of the department, the fellowship period can be extended for either for compulsory work consisting of e.g., teaching and supervision duties and research assistance up top four years

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Place of work is Department of informatics at Blindern, Oslo.

Job description

You are keen on contributing to new advances in deep learning methodology for cardiac ultrasound imaging. Deep learning methods for cardiac ultrasound can e.g. be used for automatic measurements from image sequences, to assess im-age quality, for clinical applications, or take benefits of recent research results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in collaboration with GE Healthcare and their re-search center in Oslo.

Your interests are in neural networks research. You have a big motivation to both contribute to new methods in neural networks, and develop models suited to the particular application in ultrasound imaging.

You will focus on challenges related to self-supervised learning, foundation models,  multimodal data, and combine this with either modelling knowledge, incorporate reliability/uncertainty, and/or explainable models.

The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group.  For more information about the position see https://www.visual-intelligence.no/about/open-positions . 

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 innovations 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

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.

Qualification requirements:

• Master’s degree or equivalent preferably in machine learning or equivalent fields. A Master’s degree in computer science/statistics/applied mathematics/electrical engineering can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision
• Foreign completed degrees (M.Sc.-level) must corresponding to a minimum of four years in the Norwegian educational system
• A solid background in machine learning, mathematics, linear algebra, and/or statistics is also required
• Solid knowledge and experience in Python programming is required
• Experience with frameworks like TensorFlow or PyTorch is essential
• Fluent oral and written communication skills in English

Candidates without a master’s degree have until 30.06.2026 to complete the final exam.

Desired qualifications:

Knowledge in medical imaging applications is an advantage, but not mandatory

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

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/

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?

Personal skills:

• Good communication and collaboration skills
• Positive attitude and the ability to handle hectic periods
• Good analytical skills
• Dedication to work with important applications
• Ability to conduct research in a collaborative environment
• Ability to work independently as well as in multidisciplinary teams
• Ability to give and receive constructive scientific criticism

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 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
• Description of your motivation for this particular PhD position
• CV (summarizing education, positions and academic work - scientific publications)
• Transcripts of records, copies of the original Bachelor’s and Master’s degree diploma (see below)
• Documentation of English proficiency if applicable
• 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)

Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job".

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.

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.