The Research Scientist fellow will be associated with Unit for Computational Radiology and Artificial Intelligence (CRAI), in the Division for Radiology and Nuclear Medicine at OUH. CRAI is a research hub for the advanced computational methods and artificial intelligence in radiology. The unit was established in 2019 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 by developing solid systems that can serve clinicians 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.

Oslo University Hospital is a workplace with great diversity. We believe this is crucial for solving our tasks in the best possible way. We want this diversity to be reflected among the applicants for our positions, and we encourage all qualified candidates, regardless of background, to apply!

Kvalifikasjoner:

We are looking for candidates with the following qualifications:

• PhD in machine learning / deep learning applied to medical imaging
  
• Robust and documented experience with academic publication.
  
• Documented experience with supervision of students at various levels.
  
• Proficiency in machine learning methods, particularly deep learning.
  
• Strong programming skills.
  
• Domain experience in medical image analysis.
  

As part of the application for the position, the candidate should include a short (maximum 2 page) research statement describing current research focus and suggestions for how your expertise can provide new research opportunities for the group.

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
  
• Opportunity to create individual research portfolio
  
• 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 up for research stays at collaborating institutions pending funding opportunities.