PhD Research Fellow in Deep learning for medical image analysis (ref 293453)

Organisation/Company

University of Oslo

Research Field

Computer science

Researcher Profile

First Stage Researcher (R1)

Positions

PhD Positions

Application Deadline

9 Feb 2026 - 23:00 (Europe/Oslo)

Country

Norway

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

37.5

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

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 and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep-learning-for-medical-image-analysis

Website

https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-de…

Research Field

Computer science

Education Level

Master Degree or equivalent

Number of offers available

1

Company/Institute

Department of Informatics

Country

Norway

Geofield

City

Oslo

Website

https://www.mn.uio.no/ifi/english/index.html

Street

PO box 1072 Blindern

Postal Code

NO-0316

E-Mail

anne@uio.no
adinr@uio.no

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