Researchers at Vestfold Hospital Trust (Sykehuset i Vestfold; SiV) and the Oslo University (Oslo universitetssykehus; OUS) hospitals are working together on a stroke imaging project titled: “Real-time radiology support to treat intracerebral hemorrhage” (READOUT-ICH). Context: Intracerebral hemorrhage (ICH) has the ominous distinction of being the deadliest type of stroke. Mission: Improve treatment and rely on rapid diagnosis and maximizing information from acute stroke imaging with novel image analysis methods.

The successful candidate will embark on a 3-year PhD project fully funded by the The South-Eastern Norway Regional Health Authority. The project will be administered at SiV in Tønsberg, and the PhD fellow will also become a member of the Computational Radiology in Artificial Intelligence (CRAI.no), which is situated at Rikshospitalet OUS campus and part of the Department of Physics and Computational Radiology within Radiology and Nuclear Medicine at OUS. The ideal candidate has experience in the analysis of medical image data, and particularly the use of machine learning in image analysis. The locations for the research include SiV and CRAI.

The READOUT-ICH team consists of imaging physicists, clinician-scientists in radiology, neurosurgery, neurology, and computer scientists. The team has vibrant collaboration within and external to Norway. The successful candidate will deploy cutting-edge deep learning tools to further improve analysis methods using primarily computed tomography images. External validation of CRAI tools is a key component to the current project.

SiV and OUS are workplaces with great diversity. We believe that this diversity is crucial to solving the tasks required of us. Therefore, we want this diversity to be reflected among the applicants for our positions and encourage everyone to apply regardless of who you are and what background you have.

Kvalifikasjoner:

• Document experience in medical imagie analysis, particularly focused on CT and MRI.
• Good knowledge of medical image formats.
• Experience in developing deep learning models for radiology using PyTorch/Python.
• Master's degree in physics, engineering, medical technology, computer science, or equivalent is required.
• Documentet experience in neuroscience and/or clinical research.
• Evidence of research experiences as reflected by scholarly activities (e.g. peer-reviewed publication, conference proseeding).

Personlige egenskaper:

• Ability to collaborate across different professional environments.
• Desire to pursue independent research and develop critical thinking..
• Enjoy working in a large and complex organisation.

Vi tilbyr:

• A worplace characterized by trust, openness and respect.
• A safe workplace with good colleague support.
• Good oportunities for professional and personal development.
• You become part of an important social mission. 
• Retirement and ensurance benefits; www.klp.no
• Employment according to national laws and collective agreements.

Interested candidates can email contact@crai.no and include "READOUT-ICH" in the email subject line.

Formal applications must be submitted using the SiV career "webcruiter" portal.