The Post Doc position will be associated with the Unit for Computational Radiology and Artificial Intelligence (CRAI), in the Department of Physics and Image Analysis at OUH. CRAI is a research hub for advanced computational methods and artificial intelligence in radiology. The unit was recently established in response to the increasing radiology production demands, and holds a varied portfolio of projects that uses artificial intelligence techniques at its core. The unit holds a particularly attractive work environment at the scenic and quiet Gaustad campus.

CRAI consists of a motivated and dedicated group of individuals with a mixed background, including machine learning-engineers, medical physicists, medical doctors, and Masters- and PhD students with varied backgrounds. The main goal at CRAI is to build, deploy and maintain machine learning models that can serve radiologists through augmented decision support and automated diagnostics. Being fully integrated in the hospital infrastructure and with close connections to the IT departments, CRAI has unique access to large amounts of clinical imaging data, domain experts and the opportunity to deploy fully integrated solutions for clinical use.

The post doc position is part of CRAI’s large effort to providing better AI-driven tools with real clinical impact in cerebral stroke diagnostics and prognostics.
The project, named  Automatic Real-Time Decision-Support for Revascularization Therapy (Aurora), has funding from the South-Eastern Health Authority of Norway, and focuses on the following aims:

(1) Estimating time since stroke onset using multiple forms of contrast with MRI.
(2) Predicting clinical outcome after thrombectomy
(3) Implement, test & validate AI-models in clinical workflows for ischemic and hemorrhagic stroke. 

 

Oslo University Hospital is a workplace with great diversity. We believe this is crucial to solving the tasks required of us. We therefore 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:

We are looking for candidates with the following qualifications:

• PhD in computer science, biostatistics, medical physics or similar. Candidates with a medical background and with a strong interest in machine learning will also be considered.
• Strong programming skills (especially in Python and PyTorch)
• Domain experience in medical image analysis with focus on MRI and/or CT of the brain, will constitute an advantage.
• Experience with machine learning methods, particularly deep learning and convolutional neural networks.

Personlige egenskaper:

• Good collaboration skills
• Takes responsibility and can work independently
• Good English skills both orally and in writing
• Team spirit

Vi tilbyr:

• Competitive salary based on education and experience
• Flat hierarchy
• An opportunity to work with big real-world health data
• A pleasant and particularly broad multi-professional environment
• International collaboration
• Good welfare scheme
• CRAI has established collaborations with multiple international institutions, and the position will open for research stays at collaborating institutions.

 
Please submit the application in English.Interested candidates should submit their CV (required) and a research statement (optional, 2 pages max). In assessing applicants, the main emphasis will be on research potential, as reflected by the CV. In addition, consideration is given to professional experience and other activities that are considered important. Finally, personal suitability and compliance within the research group is considered essential.
The CV content must list degrees, diploma, and certifications, and complete publication list. 

 
  
The applicants who are considered to be the most qualified will be called in for several interviews. The interviews will aim to clarify the personal fitness for the position, motivation and the development potential for the various tasks assigned to the position.