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reference: 03311901000385

documentId: 03311901000385

connectionPointId: 261

Stillingstittel:
Software Developer in Deep Learning Networks (AI) for Image and Video Analyses

Stillingsbeskrivelse:

We are looking for an outstanding full stack developer with experience in artificial intelligence(deep learning networks) for video and image analyses.

Arbeidsoppgaver

  Early detection of colon polyps is essential because they can become cancerous later on. Colonoscopy is the gold standard for colon screening.  However, colonoscopy is dependent on highly skilled endoscopists and high level of eye-hand coordination, where recent clinical studies show that 22%-28% of polyps are missed while colonoscopy examination.  The studies show that computer-aided polyp detection methods are highly desirable. Our research group at the Oslo University Hospital (OUS) has demonstrated using AI with an accuracy for polyp detection at 86%. We are working to improve this above 95% using a novel algorithm based on deep learning networks with augmentation and false positive discrimination. We are in the process of implementing and testing our method in real time scenarios in the Colonoscopy Lab at the Oslo University Hospital.

 Your tasks:

•  Work closely with other members of the team to develop a user interface for our polyp detection and segmentation 
• Translate the available code writing in Python environment to a user interface software for physicians in the Lab
• Attach a high performance computer (HPC) to a colonoscopy for assisting physicians during colon examination.
• Write codes to implement object detection in videos coming from colonoscopy Lab
• Build a deep convolutional neural network (CNN) for a better detection performance.  

 

Kvalifikasjoner 

• Bachelor, Master, or PhD in electrical engineering, computer science  or software engineering or other relevant disciplines 
• Strong Python, C/C , and/or Java programming and debugging skills
• Knowledge on deep learning technologies such as CNN, DNN, RNN etc. and deep learning framework such as TensorFlow, Pytorch, Keras, etc.
• Knowledge in Computer Vision, Image Analysis, Machine Learning is a plus  
• 3 years of experience making significant contributions in the form of code, up to user interface software
• Very good English verbal and written skills          
  

Personlige egenskaper

• Innovative  
• Eager to learn new skills
• Communicative
• Cooperative
• Social
  

Vi tilbyrTerms of employment - The position is available for one year With possibility for an extension. The salary and terms at the Oslo University Hospital, Rikshospitalet are in accordance with the Norwegian state regulations. Salary scale will be between NOK 430 000 and 570 000 pr. year, depending on qualifications and relevant work experiences. Full salary during illness and five weeks paid holidays are according to the state regulations
KontaktinformasjonIlangko Sellappah Balasingham, Seksjonsleder, 93459022
ArbeidsstedSognsvannsveien 20
0372 Oslo

Søk på stillingen:Klikk her
Nøkkelinformasjon: Arbeidsgiver:Oslo universitetssykehus HF

Referansenr.:4015522931
Stillingsprosent: 100%
Søknadsfrist: 14.02.2019



numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2511

abstractJV_contact_0: See jobabstractJV_description

contractTypeCodes_0: fulltime

Arbeidsgiver Navn: Akuttklinikken, Seksjon for medisinsk IKT

source: NAV