Ledig stilling ved UiT Norges arktiske universitet

Associate Professor in Computer science

Deadline: 14.09.2020

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 Techonolgy - Department of Computer Science

The position

UiT The Arctic University of Norway has an Associate Professor position available at the Department of Computer Science. The position is affiliated to the Health Data Lab. The lab’s research focus is threefold. First, build and experimentally evaluate infrastructure systems for bioinformatics and machine learning analyses. Second, apply bioinformatics, statistics, and machine learning methods for novel health data analyses. Third, build and evaluate data exploration and interpretation tools. We are looking for a highly talented candidate at the start of their career, but with great scientific potential to establish research on experimental computer systems science and its application to bioinformatics in interdisciplinary collaboration projects.

The Department of Computer Science provides an active international research environment with 18 tenured faculty members, 5 adjunct professors, 5 post doctors and researchers, 8 technical/ administrative staff members and about 28 PhD students. The objective of the Department is to advance the research and teaching of computer science as a discipline, to demonstrate leadership within our areas of interest, and to contribute to society through our education, research, and dissemination.

The research at the department focuses on fundamental computer systems research, systems software, application software, and system prototype development. We are concerned primarily with technical aspects of computer science systems research of mobile, distributed and parallel systems and applications. The research covers experimental development, application, analysis and testing of models, architectures, and mechanisms for mobile, embedded, distributed and/or parallel applications. Scaling, performance, handling, and analysis of large feature-rich datasets, heterogeneity, energy-efficiency, autonomy, and componentization are examples of concerns that we address

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 work

We are seeking candidates that want to combine experimental computer systems research with real problems, applications, and data obtained from biomedical research collaborators. The overriding purpose of the position is to strengthen the department’s established research areas and educational quality and capacity.

The successful candidate on this position will be an expert in the research and development of systems that integrate computing, machine learning, and biomedical data. Research topics within include, but are not limited to, computer systems development for complex data analytics, machine learning method development for health data analyses, and developing novel bioinformatics analysis methods and services.

In education, we expect the receiver of the position to participate in teaching at the department courses at all levels, and to offer courses that attract major portions of our student body, rather than working exclusively with a limited set of students or with a specific area of focus. The candidates will contribute to the development of the study programs and courses at the department. 2

Applicants are encouraged to contact the leader of the Health Data Lab, professor Lars Ailo Bongo, for further questions on the area of research.


Further information about the positions and UiT is available by contacting Head of Department: Anders Andersen,

Further information about the area of research in the position is available by contacting the leader of the Health Data Lab: Lars Ailo Bongo,

For administrative questions, please contact the Department’s administration: Svein Tore Jensen,


The candidate must hold a PhD in computer science, with a computer systems science background, have demonstrated an ability to conduct high quality research, and have a strong commitment to engagement outside of academia in ways that foster significant commercial or societal impact.

The candidate should also have:

  • interdisciplinary research experience, preferably in bioinformatics or other life sciences.
  • a good publication record in terms of papers in peer-reviewed journals and other relevant international publication channels.

Documented external funding, experience with research leadership and relevant collaboration with industry will be rated positively. In the documentation of external research funding raised during the career, applicants should clearly state her/his role in the acquisition and conduction of the project.

We will also assess outreach, network and teaching and supervision activities. An associate professor is expected to aim at developing further to a full professor.

Applicants must be fluent in oral and written English. It is considered an advantage to have good skills in a Scandinavian language. The candidate who is not fluent in a Scandinavian language are encouraged to learn Norwegian to the language exam level C1 ("Bergenstesten" or equivalent) within 3 years.

We will emphasize personal suitability in our assessment. We expect the candidate to actively contribute to academic culture, think beyond the core of the own research interests, and have good collaboration skills necessary for joint interdisciplinary projects. The candidate must be willing to participate actively in the ongoing development of the discipline, the department, and the university.

Qualification requirements for the position as Associate Professor:

  • 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
  • Documented pedagogical competence

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.

Pedagogical competence (basic pedagogical competence)

All applicants for teaching and research positions shall document their pedagogical competence.

You must have aquired basic competence for teaching and supervision at higher education level, this include basic skills in planning, conducting, evaluating and developing teaching and guidance.

The pedagogical competence can be achieved in one of the following ways:

a) Completed education or courses designed to provide teaching competence for teaching at universities and colleges, equivalent to a minimum of 200 hours

b) Practice as a teacher and supervisor in higher education is required, often combined with relevant courses and seminars. Experience with teaching and supervision in higher education corresponding to two years in a full-time position is required. For dosent and professor positions, experience with teaching and supervision in higher education corresponding to three years in a full-time position of is required.

Documentation requirement:

a) Applicants who have completed education or courses designed to provide teaching competence for teaching at universities and colleges, equivalent to a minimum of 200 hours, must attach diploma and curriculum for the completed course.

b) Other applicants shall describe, assess and document their competence as a teacher and supervisor.The skills must be documented in the form of a teaching portfolio.

If the pedagogical competence can be acquired within two years of appointment, applicants shall not be ranked based on pedagogical competence.

Those who do not satisfy the requirements may be appointed on a permanent basis on the condition that they satisfy the requirements within two years of appointment.

We offer

  • Mentorship and administrative support for female associate professors, for developing a career plan and funds for realization of such a plan.
  • A challenging and stimulating working environment.
  • Support on applications for externally funded research projects.
  • R&D sabbatical conditions which are considered some of the best in the country
  • Good welfare arrangements for employees
  • Good arrangements for pension, insurance and loans in the Norwegian Public Service Pension Fund


The application must be submitted electronically via www.jobbnorge.no and shall include:

  • Application letter
  • CV including list of all academic works
  • Diplomas and transcripts (all degrees)
  • Written references
  • Contact information to 3 references
  • Documented pedagogical competence
  • Description of your academic merits, stating which works you consider most important
  • Academic works, up to ten. The doctoral thesis is regarded as one work.

The documentation must be in English or a Scandinavian language.


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.

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.

The allocation of working hours is flexible and allocated on a case-by-case basis. In general, associate professors will spend an equal amount of time on teaching and research and development work, after time spent on other duties has been deducted. As a norm, the time resources spent on administrative duties constitutes 5 % for academic staff.

The candidate must participate in teaching computer science at all levels and formats offered by the department. This includes supervision of undergraduate and graduate projects.

The associate professor will work with The Health Data Lab and must contribute to enhance the department’s research within the described areas. There are excellent opportunities to develop research projects in collaboration with other faculty members across the groups.

The associate professor is expected to be successful in raising external research funds.

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

The remuneration for Associate Professor is in accordance with the State salary scale code 1011. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. In addition to the salary; UiT pays 13,5% directly to the Pension Fund.

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. UiT and will emphasize making the necessary adaptations to the working conditions for employees with reduced functional ability.

More information about moving to Norway and working at UiT: http://uit.no/mobility

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.

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