ORGANISATION/COMPANYNTNU Norwegian University of Science and Technology
RESEARCH FIELDComputer science
RESEARCHER PROFILERecognised Researcher (R2)
APPLICATION DEADLINE17/02/2021 23:00 - Europe/Brussels
LOCATIONNorway › Gjøvik
TYPE OF CONTRACTTemporary
HOURS PER WEEK37,5
This is NTNU
At NTNU, creating knowledge for a better world is the vision that unites our 7 400 employees and 42 000 students.
We are looking for dedicated employees to join us.
You will find more information about working at NTNU and the application process here.
About the position
We have a vacancy for a Post Doctoral Researcher position in the project “Improved Pathology Detection in Wireless Capsule Endoscopy Images through Artificial Intelligence and 3D Reconstruction”. The project focuses on applying artificial intelligence and 3D reconstruction to facilitate better pathology detection through wireless capsule endoscopy video stream and thereby simplify the screening and planning task performed by gastroenterologists.
Place of work will be at the Department of Computer Science in Gjøvik.
The position reports to Head of Department.
Duties of the position
The position will focus on developing data-efficient learning method for automated pathology detections in the gastrointestinal tract and develop enhanced automatic pathology detection algorithms based on 3D data, as well as automatically construct 3D model in areas of interest for assessment by gastroenterologists.
Required selection criteria
A postdoctoral research fellowships is a qualification position in which the main objective is qualification for work in academic positions. A Norwegian doctoral degree in computer science, image processing, computer vision or a similar field, or corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree, is required.
If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.
The candidate must have:
- A very strong background in image processing and computer vision.
- A very strong background in machine learning.
The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.
Preferred selection criteria
- Experience from medical image processing.
- Background or experience from video processing.
- Experience with weakly supervised learning or unsupervised learning.
- Background in or experience with 3D reconstruction.
- A background or experience in deep learning frameworks (Tensorflow, Keras, or PyTorch).
- Eagerness to disseminate research results through scientific publications and presentations at international conferences.
- A high level of personal responsibility, initiative, motivation and ability to work in a project team as well as independently.
- Very good written and oral English language skills.
- Good organization and communication skills with interest in wider context than their own research and ability to engage in crossdisciplinary and cross-sectorial teams.
- exciting and stimulating tasks in a strong international academic environment.
- an open and inclusive work environment with dedicated colleagues.
- favourable terms in the Norwegian Public Service Pension Fund.
- employee benefits.
Salary and conditions
The employment period is 2 years.
Postdoctoral candidates are placed in code 1352, and are normally remunerated at gross from NOK 545 300 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.
It is a prerequisite you can be present at and accessible to the institution daily.
About the application
The application and supporting documentation to be used as the basis for the assessment must be in English.
Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.
The application must include:
- CV, certificates and diplomas.
- Description of how your background fits with the goal of the project “Improved Pathology Detection in Wireless Capsule Endoscopy Images through Artificial Intelligence and 3D Reconstruction”.
- Academic works - published or unpublished - that you would like to be considered in the assessment (up to 5 works).
- Name and contact information of three referees.
Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.
A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background.
The city of Gjøvik has a population of 30 000 and is a town known for its rich music and cultural life. The beautiful nature surrounding the city is ideal for an active outdoor life! The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world.
As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.
Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.
If you have any questions about the position, please contact Prof. Marius Pedersen , telephone +47 93 63 43 85, email email@example.com. If you have any questions about the recruitment process, please contact Stine Terese Ruen Nymoen, e-mail:firstname.lastname@example.org.
Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).
If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number 2021/3130 when applying.
Application deadline: 17.02.2021
NTNU - knowledge for a better world
The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.
Department of Computer Science
We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one of seven departments in the Faculty of Information Technology and Electrical Engineering .
Open, Transparent, Merit based Recruitment procedures of Researchers (OTM-R)
Know more about it at NTNU Norwegian University of Science and Technology
Know more about OTM-R
EURAXESS offer ID: 594809
The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.
Please contact email@example.com if you wish to download all jobs in XML.