Oslo universitetssykehus HF har en ledig spennende stilling!

PhD position in computational radiology / artificial intelligence

Deadline: 01.05.2020

Oslo University Hospital

Oslo University Hospital is a highly specialized hospital in charge of extensive regional and local hospital assignments. As Scandinavia’s largest hospital, we carry out more than 1.2 million patient treatments each year. The hospital has a nationwide responsibility for a number of national and multi-regional assignments, and has several national centers of competence. Oslo University Hospital is responsible for approximately 50 percent of all medical and health care research conducted at Norwegian hospitals, and is a significant role player within the education of a large variety of health care personnel.

The PhD fellow will be associated with Unit for Computational Radiology and Artificial Intelligence (CRAI), Division of Radiology and Nuclear Medicine (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.

Duties and responsebilities

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.

Qualifications

Masters degree in relevant Natural Sciences discipline.

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.

Personal qualities

  • 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.

Webcruiter ID: 4214923558

Apply for position

Contacts:

  • Atle Bjørnerud (Spesialrådgiver - IKT), 97539499