PhD Research Fellow

The PET Imaging Center at University Hospital North Norway (UNN) has a vacant full-time Ph.D. position for the research project “Automatic detection and quantification of cerebral stenosis and aneurysms as an aid in radiological assessment.” The Ph.D. position is for a fixed term of three years. Admission to the Ph.D. program at UiT The Arctic University of Norway is a prerequisite for employment.

The project’s main objective is to develop a software tool for detecting intracranial aneurysms and stenosis in magnetic resonance (MR) images to assist in the radiological assessment of these pathologies. The software will build upon an existing deep-learning python code for segmenting the cerebral arteries and measuring the diameter along each arterial segment. We have a dataset of 1800 MR examinations available for testing and development of the algorithm.

The position is affiliated with the Nuclear Medicine and Radiation Biology Research Group at UiT The Arctic University of Norway.

Arbeidsoppgaver

The Ph.D. candidate is expected to work independently but with the close support of supervisors and in collaboration with other project members, with tasks that include the following:

• Taking responsibility for the research project
  
• Developing code for detecting aneurysms and stenosis
  
• Present results in peer-reviewed scientific papers and at conferences
  
• Completing the required Ph.D. courses at UiT The Arctic University of Norway

Kvalifikasjoner

• The candidate must hold an academic degree (Master of Science or equivalent) preferably in bioinformatics, physics, computer science or related disciplines.
• The MSc must correspond to a five-year Norwegian degree program, with 120 credits at the master's level.
• You must have a strong academic background from your previous studies with a grade average from the master's degree program or equivalent equal to C or better on the grading scale used by UiT The Arctic University of Norway. If you do not have letter grades from previous studies, you must have an equally good academic basis. See https://uit.no/phd-en#innhold_668985 for further details on the requirements for admission to the PhD program.
• You must have excellent oral and written English skills.
• Programming skills in python is an advantage.
• Knowledge of machine learning and medical imaging, preferably MRI is an advantage.

Personlige egenskaper

We seek a highly motivated candidate with good communication and cooperation skills and the ability to work independently.

Vi tilbyr

We offer an interesting and innovative research project in the rapidly evolving field of artificial intelligence in medical imaging. The candidate will have the opportunity to work in a positive and multidisciplinary research environment. Salary will be based on individual qualifications. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted from the gross salary.

Universitetssykehuset Nord-Norge HF (UNN) tilbyr befolkningen i den nordligste landsdelen medisinsk diagnostikk og behandling ved våre sykehus i Tromsø, Narvik, Harstad og Longyearbyen. Vi er universitets- og regionsykehuset for hele Nord-Norge, og vår visjon Med pasienten – for pasienten gjenspeiler at vi i UNN skal spille på lag med pasientene.

De rundt 6.500 medarbeiderne i UNN jobber etter verdiene kvalitet, trygghet, respekt og lagspill. Sistnevnte fremhever viktigheten av godt samspill internt, og ha et nært og godt samarbeid med kommunehelsetjeneste, UiT Norges arktiske universitet, Helse Nord RHF og andre helseforetak i regionen. Les mer om oss på unn.no.

UNN har et særskilt ansvar for tilrettelegging av helsetilbud til den samiske befolkningen. Det vil bli lagt positiv vekt på om søker har kompetanse på samisk språk og/eller kultur.

UNN ønsker å være en arbeidsgiver som gjenspeiler mangfoldet i samfunnet og som utnytter potensialet i den samlede kompetansen i befolkningen. Vi oppfordrer derfor alle kvalifiserte kandidater til å søke jobb hos oss. UNN jobber for å realisere regjeringen sin inkluderingsdugnad om at 5% av faste nytilsettinger skal være personer med nedsatt funksjonsevne eller hull i CV-en.