The position will be associated with Unit for Computational Radiology & Artificial Intelligence (CRAI.no), in the Department of Physics and Image Analysis, Division of Radiology and Nuclear Medicine. CRAI is a research hub for advanced computational methods and artificial intelligence in radiology. The unit was established in 2019 in response to the increasing production demands at the OUH, and holds a varied portfolio of projects that uses machine learning 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 computer scientists, software-engineers, medical physicists, medical doctors, and it has programs for Master- and PhD-students with varied backgrounds. The main goal at CRAI is to build, deploy and maintain machine learning models to 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 ambition to deploy fully integrated solutions for clinical use.

We are now looking for a dedicated researcher for a two-year full time assignment to the multi-disciplinary project: Brain Genotyping and Artificial Intelligence-based Imaging Phenotyping to Optimize Service and Augment Discovery in Pediactric Neuro-oncology (BROADeN)

Oslo University Hospital is a workplace with great diversity. We believe this is essential to perform the tasks required of us. Therefore, we pursue diversity among our job applicants and encourage everyone to apply regardless of who you are and what background you have.

Kvalifikasjoner:

• Relevant degree (MSc or PhD) in natural sciences (e.g. medicine, informatics, medical physics, statistics)
• Experience with analysis of diagnostic imaging data
• Experience and knowledge of deep learning methods applied to imaging is considered a strong advantage
• Programming skills in Python and PyTorch is considered a strong advantage

Personlige egenskaper:

• Ability to collaborate across disciplines
• Self-driven
• Good communicator

Vi tilbyr:

• A workplace characterized by trust, openness and respect
• A safe workplace with good colleague support
• As a new employee in Oslo University Hospital, you become part of a new-employee program
• Good opportunities for professional and personal development