Faculty of Technology, Art and Design, Department of Computer Science

OsloMet – Oslo Metropolitan University is one of Norway’s largest universities, with more than 20,000 students and 2,000 employees. OsloMet delivers knowledge to solve societal challenges, in close cooperation with the society and employers. OsloMet is an urban and diverse university with a clear international profile, and an attractive place to work and study with campuses in Oslo city center and at Kjeller in the Municipality of Lillestrøm. Our location in the metropolitan area gives us good opportunities to understand and benefit from the city’s diverse population.


The Faculty of Technology, Art and Design (TKD) offers higher education and research and development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 3.000 students and 280 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Akershus.

The Department of Computer Science offers three bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department are pursuing research in a wide range of areas including computer science, the natural sciences, and innovation and management. Both students and researchers are also involved in an increasing number of interdisciplinary initiatives across the university.

The Faculty of Technology, Art and Design at OsloMet is hiring one Researcher (100%), shared between the Department of Computer Science and the Department of Mechanical, Electronics and Chemical Engineering. The appointment is for a term of 1 year, with expected start date on July 1st, 2018.

Area of research

The Department of Computer Science (CS) and the Department of Mechanical, Electronics, and Chemical Engineering (MEK) at OsloMet have identified a collaboration area within Machine Learning applied to Computer Vision. The researcher will join two research groups in “Applied Artificial Intelligence” (CS) and “Automation, Robotics, and Intelligent Systems” (MEK) and will work at the intersection of a highly multidisciplinary and stimulating research environment and laboratories (Assisted Living Technology Lab, Automation and Robotics Lab, Living Technology Lab).

The researcher is expected to apply machine learning, and in particular deep learning, to solve problems that require computer vision. The main purpose of this position is to strengthen and expand our research activities within Computer Vision - develop further existing tools for image processing, contribute to current projects, as well as initiate new projects and activities within this thematic area. Existing research projects include activity recognition indoors, autonomous navigation of robot swarms and drones, universally designed assistive technologies. Furthermore, the successful candidate is expected to contribute towards applications for external funding, both at national and international level, as well as facilitate network building.    

This position is supported by two strategic Lighthouse research projects in the Faculty: “Autonomic Systems” and “Complex, Adaptive, and Self-Organising Systems”.


  • The candidate must have a Ph.D. degree within Computer Science, Electrical Engineering, or equivalent.
  • We require documented research in one or more of the following topics; machine learning, artificial intelligence, complex systems, autonomous systems.
  • The work requires good programming skills.
  • We also require excellent written and oral communication skills in English. For candidates who are neither native English speakers nor from Scandinavia, the following tests can be used as documentation for English skills: TOEFL, Academic IELTS and Cambridge CAE or CPE.

Minimum scores are:

TOEFL: 600 (paper-based test), 92 (Internet-based test)

IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)

CAE/CPE: grade B or A.

The applicant’s suitability to hold a scientific position will be emphasized in the selection process, and in particular the applicant’s flexibility, professionalism and willingness to contribute to the faculty’s broader mission.

Desired Skills

The ideal candidate should have the following qualifications:

  • Strong expertise within Image processing/ Computer Vision.
  • Experience with artificial neural networks and deep learning.
  • Experience with autonomous and bio-inspired systems will be an advantage.
  • Demonstrated research capability relevant to the position and a strong publication record.
  • Demonstrated ability to work independently as well as collaboratively.
  • Demonstrated ability to quickly acquire knowledge in new topics.
  • Experience with supervision/guidance of students.

It is important for OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active efforts to further develop as an inclusive workplace and to adapt the workplace if required.


You must upload the following documents together with your application by the final date for applications:

  • CV, references and all pages of certificates/ diplomas. The certificates/ diplomas must include ECTS grades (A–F). Foreign diplomas must be translated into English by the degree-conferring institution. If you have a letter of recognition from NOKUT for education taken abroad, please upload it with your application.
  • Up to 10 academic documents including your PhD dissertation and a list of your publications, if relevant
  • Short summary of previous research work and description of future research directions the candidate wants to explore (maximum 3 pages)

You must upload all of these documents. Original documents and valid passport must be presented if you are invited for an interview. OsloMet performs document inspections in order to give you as a candidate a proper evaluation and ensure fair competition.

Please note that incomplete applications will not be considered. 

We can offer you

  • An exciting job opportunity at Norway’s third largest and most urban university
  • Opportunity to be a part of a dynamic professional environment and unique academic network
  • Unique academic and research collaboration across different research groups.
  • Beneficial pension arrangements with the Norwegian State Pension Fund
  • Good employee welfare arrangements
  • Free Norwegian language classes to employees and their partners
  • Relocation support, cultural courses and on boarding services
  • Working location in downtown Oslo with multiple cultural offers 

OsloMet’s International Career Site gives information on living and working in Oslo.

Other information

If you would like more information about the positon, feel free to contact:

  • Associate Professor Stefano Nichele, email: stefano.nichele@oslomet.no
  • Associate Professor Evi Zouganeli, email: Evi.Zouganeli@oslomet.no
  • HR Mette Bjørtomt, email: metteb@oslomet.no

Salary is set in accordance with the Norwegian State Salary Scale, position code 1109 Forsker NOK 517 300-649 800. By law 2% of the salary is deducted as to the Norwegian State Pension Fund.

According to the Norwegian Freedom of Information Act (Offentleglova) your name may be published on the public applicant list even if you have requested non-disclosure. You will in this case be contacted before your name is published.

If you wish to apply for the position, please apply electronically by clicking the button at the bottom of the page.

Deadline for applications: April 25th 2018

Ref.:    18/03245


OsloMet has implemented the Charter & Code and been certified by the EU Commission with HR Excellence in Research (HRS4R) and is part of the EU network for mobility of Researchers Euraxess.

Type of employment Midlertidig ansettelse
Contract type Full time
Number of positions 1
Working hours 100%
City Oslo
County Oslo
Country Norway
Reference number 18/03245
Published 23.Mar.2018
Last application date 25.Apr.2018 11:59 PM CET

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