Tuesday 24th March 2020
Closing date: 01.05.2020
Oslo University Hospital (OUH) is Norway's largest health enterprise with over 22,000 employees. We have a number of national functions within specialized medicine, and a large activity in research, testing treatment, training, education and innovation, where we develop tomorrow's medicines and treatments.
The Division of Radiology and Nuclear Medicine (DRN) currently has over 800 employees in five physical locations: Aker, Radiumhospitalet, Rikshospitalet, Ullevål and Legevakten.
The PhD fellow will be associated with Unit for Computational Radiology and Artificial Intelligence (CRAI), DRN, OUH. CRAI is a research hub for the introduction of advanced computational methods and artificial intelligence into radiology workflow at OUH. The unit was opened in 2019 in response to the increasing production demands at the DRN, and holds a varied portfolio of projects that uses artificial intelligence at its core. The unit holds a particularly attractive work environment at the scenic and quiet Gaustad campus.
The PhD project is granted by the South-Eastern Regional Health Authority, and will focus on developing faster and better intraoperative magnetic resonance imaging (iMRI) using novel MRI sequences and reconstruction schemes based on artificial intelligence algorithms. Specifically, the aim is to twofold speed up imaging of brain cancers in an intraoperative setting, using a deep learning approach to reconstruct sparsely collected imaging data. The position will give insight in the operation of MRI machines, image reconstruction, developing deep learning algorithms for clinical use as well as a unique insight in the crossing between advanced surgery and technology.
The project will be running in close collaboration with a high-profiled site in the Netherlands, and the position will include substantial time spent at this institution.
We are looking for a fellow who:
- Has basic training in MRI physics/medical image reconstruction
- Is comfortable with machine learning methods, particularly deep learning.
- Is proficient in Python programming.
- Has good collaboration skills.
- Takes responsibility and can work independently.
- Has good English skills both orally and in writing.
- Is willing to spend substantial time abroad, at collaborator site in the Netherlands.
- Publication experience is an advantage, but not a requirement.
We can offer:
- Front-end scientific project.
- Good supervision in a pleasant and particularly broad multiprofessional environment.
- International collaboration.
- Good welfare schemes.
- Salary in accordance to regulations.
- The best coffee at OUH.
About the recruitment:
In the assessment, the main emphasis will be on the applicant's potential as a researcher as shown in the application CV. In addition, consideration is given to professional experience and other activities that are important for the completion of the doctoral program. Finally, personal suitability and compliance within the research group is considered essential.
CV content must be documented with diplomas, testimonials and complete publication list in Webcruiter.
Please provide contact information for a minimum of three recent references.
The applicants who are considered to be the most qualified will be called in for an interview. The interview will aim to clarify the personal fitness for the position, motivation and the development potential for the various tasks assigned to the position. In addition to the academic assessment, the impression from the interview will form the basis of further employment.
|Organization||Oslo University Hospital|