Postdoctoral research position in artificial intelligence for neuroimaging

Applications are invited for a 2-year postdoc research position with the possibility for further engagements at the Department of Physics and Computational Radiology, Oslo University Hospital.

The candidate will deploy innovative artificial intelligence methodologies for neuroimaging as part of the research project titled INDIRECT - Imaging drug delivery in brain cancer by the intrathecal route with support fromSouth-Eastern Norway Regional Health Authority. In this project, we are using magnetic resonance (MR) imaging for disease of the brain, and brain tumor diagnostics in particular. The main aim of the project is to use advanced imaging methods to assess drug delivery to human brain by the intrathecal, non-blood route.

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

Duties and responsebilities

The project capitalizes on existing infrastructure and patient flow at the hospital and has established a state-of-the-art imaging pipeline for patients with neurologic disease. In collaboration with our research team and collaborators, the postdoctoral candidate’s main responsibility will be to develop, implement and evaluate deep learning-based analysis pipelines for the following tasks:

• MR image segmentation of enlarged perivascular space for disease assessment
• Develop a probabilistic model of intrathecal MR tracer enrichment signatures in the brain based on retrospective data
• Improve signal and quality of our MR image protocols using AI-based reconstruction algorithms.

The applicant will be part of a research group on MRI Research & Technology headed by Dr. Kyrre E. Emblem, at the Department of Physics and Computational Radiology: https://www.ous-research.no/emblem/

The applicant will also be part of the Computational Radiology and Artificial Intelligence (CRAI) section providing top-end support in the design and implementation of deep learning models (www.crai.no), as well as a new K.B. Jebsen Centre for Research on Neurofluids at the University of Oslo.

The research group collaborates closely with many national and international researcher in Europe and the US, with emphasis on diagnosis, prognosis- and treatment response assessment in patients with neurological disorders.

Qualifications

• Candidates with a PhD degree within physics, mathematics, medicine or other life sciences.
• Candidates with a PhD thesis submitted to a University for review may apply
• Proven experience with human MRI and medical image processing
• Proven experience with AI for image analysis
• A valid work permit and/or residence permit to work in EU / EEA according to the Norwegian Directorate of Immigration (UDI)

Personal qualities

• Strong motivation
• High working capacity
• Excellent collaboration skills as well as ability to work independently
• Interest in solving technical, mathematical and biological problems
• Positive attitude and goal oriented
• Excellent written and oral communication skills in English

We can offer

• Access to state-of-the-art MR equipment and unique data.
• Infrastructure for end-to-end analysis and annotation of radiological big data for deep learning training, testing and deployment
• A position in a thriving and highly skilled, multi-disciplinary and multi-cultural environment where you are encouraged to develop your skills and share your knowledge with your colleagues.
• A position in an international research network with the opportunities to travel and meet other colleagues and researchers abroad.
• Young and friendly colleagues in a research area with a bright future.
• Competitive benefits and focus on work-life balance.
• Appointment will be for 2-year with the possibility for further engagements.