LEDIG STILLING VED UIT NORGES ARKTISKE UNIVERSITET

Researcher in Medical Image Analysis

Deadline: 01.09.2022

UiT The Arctic University of Norway

UiT is a multi-campus research university in Norway and the northernmost university of the world. Our central location in the High North, our broad and diverse research and study portfolio, and our interdisciplinary qualities make us uniquely suited to meet the challenges of the future. At UiT you can explore global issues from a close-up perspective.


Credibility, academic freedom, closeness, creativity and commitment shall be hallmarks of the relationship between our employees, between our employees and our students and between UiT and our partners.

Faculty of Science and Technology / Department of Physics and Technology

The position

The University of Tromsø (UiT) - The Arctic University of Norway, Faculty of Science and Technology, has a researcher position vacant. The position is attached to the UiT Machine Learning Group at the Department of Physics and Technology.

The Department of Physics and Technology consists of six research groups: Complex Systems Modelling, Earth Observation, Renewable Energy, Machine Learning, Space Physics, and Ultrasound, Microwaves and Optics. The department provides education on the Bachelor, Master, and PhD levels, and comprises 40 permanent scientific positions and a technical/administrative staff of 10 persons.

The UiT Machine Learning Group conducts basic and applied research in machine learning, funded e.g. by the Research Council of Norway and by industry. The group is heading Visual Intelligence, a centre for research-based innovation (SFI) in Norway with several partners in addition to the UiT Machine Learning Group. Visual Intelligence is researching the next generation deep learning algorithms for image analysis to lay the foundation for new innovations in medicine and health, in the marine sciences, in energy, and in earth observation, in close collaboration with the centre’s industry and public sector partners.

The researcher position in medical image analysis is primarily funded over a new associated project to Visual Intelligence in the medicine and health area. The project is entitled “AI supported picture analysis in large bowel camera capsule endoscopy – AICE”. AICE is a Horizon Europe project with partners from Denmark and a wide variety of institutions in Europe. Research and innovation supported under this Horizon Europe program shall contribute to the impact area ‘Good health and high-quality accessible healthcare’ and in particular to enable the following expected impact

  • Help health care providers to better tackle and manage diseases;
  • Reduce the disease burden on patients;
  • Create more effective and innovative health technologies.

The project period for AICE is from 01.9.2022-310826, and the position has funding for 32 months.

The workplace is at UiT in Tromsø. You must be able to start in the position in Tromsø within a reasonable time, within 6 months after receiving the offer.

The position's field of research

We are seeking a researcher which is keen on shaping the health care of the future by the development of novel machine learning and AI solutions for medical image analysis. This is one of the most important areas for realizing the impact of AI for the wellbeing of people. This field of research is interdisciplinary as it entails collaboration with clinicians and health care providers as well as the development and validation of new deep learning-based image analysis methodology.

The position will entail a special responsibility to be the UiT Machine Learning Group’s main resource for contributing to the aforementioned Horizon Europe project for the development and validation of AI algorithms for diagnosis support by colon capsule endoscopy (CCE) to detect and treat colorectal cancer. The AI algorithms will primarily be based on development of new variants of convolutional neural networks particularly tailored for the task at hand. This research has a great potential to innovate colorectal cancer screening, to potentially save lives, and to substantially reduce the burden upon clinical services.

The researcher will also contribute to other medical image analysis projects in Visual Intelligence and will interact with the other researchers in the centre and in the UiT Machine Learning Group.

The role of the researcher

The researcher will be a part of the UiT Machine Learning Group and a member of the Visual Intelligence centre. The UiT Machine Learning Group has a highly international profile. We strive for a diverse and inclusive work environment and encourage candidates from groups that are traditionally underrepresented in the field of machine learning to apply for this position

The researcher will engage in collaborative research with the other members of the group. The researcher will be exposed to, and expected to contribute to, proposal writing, organization of scientific seminars, and to co-supervision of master students and PhD students.

The researcher will be the main contact point to the AICE Horizon Europe project leadership and will be expected to participate in project meetings both online and physically and to collaborate closely with the project partners.

Contact

Further information about the position and project details is available by contacting:

Qualification requirements

We are looking for a motivated candidate who can take a leading role with respect to the AICE project, who have the capability of independent thinking, but who like to work in a team.

The suitable candidate must have a good background in machine learning or related disciplines, having completed a PhD in computer science or related fields. Since the research revolves around convolutional neural networks, experience with deep learning for image analysis will be important (e.g. via research projects, via coursework, via working with tools such as Pytorch).

Experience with collaborative research within health and medicine will be considered a plus as will coursework e.g. related to medical imaging and medical image analysis. Experience with innovation projects and experience in communicating and collaborating with stakeholders in industry or the public sector will also be considered a plus.

Doctoral candidates who hand in their PhD thesis by the application date are eligible for this position.

Qualification requirements for the position as Researcher 1109:

  • Norwegian doctoral degree in subject area concerned or a corresponding foreign doctoral degree recognised as equivalent to a Norwegian doctoral degree, or competence at a corresponding level documented by academic work of the same scope and quality

You must be fluent in English, and good command of Norwegian or a Scandinavian language will be considered a plus.

We will emphasize the applicants motivation for the position and personal suitability.

At UiT we put emphasis on the quality, relevance and significance of the research work and not on where the work is published, in accordance with the principles of The San Francisco Declaration on Research Assessment (DORA).

UiT wishes to increase the proportion of females in academic positions. In cases where two or more applicants are found to be approximately equally qualified, female applicants will be given priority.

Application

The application must include:

  • Cover letter (1-2 pages) highlighting the candidate’s background and its relevance to the announced job
  • CV containing a complete overview of education, supervised professional training and professional work
  • Diplomas, diploma supplements and transcripts (all degrees, in original language and translated)
  • Written references
  • Two references with contact details (name, affiliation to the applicant, email address and phone number)
  • list of works and description of these (see below)

The list of works shall contain the following information:

  • author(s), the work’s title
  • for articles: the journal’s name and volume, the first and last page of the article, year of publication
  • for publications: publisher, printer, year of publication, number of pages

The works (published or unpublished) which the applicant wishes to be taken into consideration during the assessment process must be submitted. The applicant may submit up to 10 works that are central to his/her production. The applicant’s doctoral thesis is regarded in this context as one work.

In addition, the applicant shall provide a description of his/her scientific production stating which works he/she considers the most important and shall therefore be the main emphasis of the assessment. A brief description of the other listed works shall also be included to demonstrate depth of production. These descriptions shall be an attachment to the application.

Documentation has to be in English or a Scandinavian language. The application and submitted documents must be sent electronically via www.jobbnorge.no

Assessment

The applicants will be assessed by an expert committee. The committee's mandate is to undertake an assessment of the applicants' qualifications on the basis of the written material presented by the applicants, and the detailed description draw up for the position.

The applicants who are assessed as best qualified will be called to an interview. The interview shall among other things, aim to clarify the applicants personal suitability for the position and motivations. A trial lecture may also be held.

We offer

  • Good welfare arrangements for employees
  • Good arrangements for pension, insurance and loans in the Norwegian Public Service Pension Fund

Work- og salary conditions

The successful candidate must be willing to get involved in the ongoing development of their department and the university as a whole.

The working hours shall mainly be utilised for research, research-related activities and research administration.

The remuneration for this position is in accordance with the State salary scale code 1109. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. The university also provides assistance with housing for new employees.

Inclusion and diversity

UiT The Arctic University i Norway is working actively to promote equality, gender balance and diversity among employees and students, and to create an inclusive and safe working environment.

We believe that inclusion and diversity is a strength and we want employees with different competencies, professional experience, life experience and perspectives.

If you have a disability, a gap in your CV or immigrant background, we encourage you to tick the box for this in your application.

If there are qualified applicants, we invite least one in each group for an interview. If you get the job, we will adapt the working conditions if you need it.

Apart from selecting the right candidates, we will only use the information for anonymous statistics.

General information

The appointment is made in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants.

More information about moving to Norway and working at UiT.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

In case of discrepancies between the Norwegian and the English version of this description, the Norwegian version takes precedence.

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