Fakultet for teknologi, kunst og design (TKD), Institutt for informasjonsteknologi

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 and a master’s degree programme, in addition to research and development activities. The department has approximately 70 staff members and 800 students.

There are currently several research groups at the Computer Science department (link here). We are also expecting to set up a new group on Applied Artificial Intelligence.

The faculty aims to establish a PhD-program with a branch in Digital Engineering, and a new multi-disciplinary Master’s program. This is in conjunction with HIOAs full accreditation as University and the establishment of a research and development collaboration between HiOA and the Simula Research Laboratory.

More information about the The Department of Computer Science and the Faculty of Technology, Art and Design can be found here.

The Department of Computer Science has a vacancy for a professor/associate professor in Computer Science specializing in Applied Artificial Intelligence.

We are looking for a candidate with a talent and a passion for teaching, research and innovation. Candidates will be expected to have conducted extensive research in the field of Applied Artificial Intelligence and other relevant fields such as machine learning, evolutionary computation, reinforcement learning, or evolutionary robotics. The research should be reflected in an extensive publication list and high impact.

Candidates will be expected to actively strengthen and shape the academic and research work at the department and the university college's research community in general, including interdisciplinary work across departments at the Faculty for Technology, Arts Design and with other faculties at HiOA.

The candidate will be responsible for securing external funding. Experience with applying for NFR, EU, or similar grants is an advantage.

Tasks and responsibilities

  • Leading the application of external funding for research in Applied Artificial Intelligence and related fields.
  • Initiating and conducting research within Applied Artificial Intelligence.
  • Communicating and disseminating research results for both academic and lay audiences.
  • Strengthening the academic and research work in Applied Artificial Intelligence and related fields.
  • Planning, developing and delivering courses at PhD, Master and Bachelor level, including teaching, supervision, and assessment.
  • Actively contributing to the development of high quality education.
  • Actively contributing to the development of the department.
  • Performing some administrative tasks related to educational, research and innovation activities.


The required qualifications for the positions are as follows:

  • PhD in computer science, computer engineering, artificial intelligence, data science, mathematics or related fields
  • documented research work and publications within the field of applied artificial intelligence
  • experience of initiating and managing research projects, including a solid track record of securing external funding for research
  • experience from international and interdisciplinary research collaboration
  • experience in teaching and supervision in higher education
  • Fluency in English is expected. The candidate is expected to acquire a working command of Norwegian within three years of being appointed.

The general criteria for appointment to a position as Professor are set out in the «Forskrift om ansettelse og opprykk i undervisnings- og forskerstillinger» § 1-2, see details in Norwegian.

Candidates who have no relevant qualifications in pedagogy at the time of appointment must commit themselves to complete HiOA’s programme for basic pedagogical competence (15 ECTS credits) within two years.

Trial lecture will be required in connection with a personal interview.

Desired skills

Emphasis is also placed on the following skills, competence and experience:

  • the ability to motivate and inspire students and colleagues
  • excellent cooperation and communication skills
  • inquisitiveness, and a keenness to develop as an academic leader
  • flexibility and the ability to adapt teaching and research to the needs of the department, including interdisciplinary Collaboration
  • the ability to build communities and networks, research projects, and to demonstrate fresh thinking and innovation
  • experience with and interest in technology transfer, innovation and patents, digital and innovative educational techniques and practices
  • experience with one or more deep learning platforms (e.g. Tensorflow, Caffe, Keras, Theano, Torch) and applications of reinforcement learning, evolutionary robotics, machine learning, artificial life/ living technology

We offer

Contact information

Head of Department Laurence Habib, email: Laurence.Habib@hioa.no, phone +47 67238657

Associate professor Stefano Nichele, email: Stefano.Nichele@hioa.no, phone +47 45134015


Salary is set in accordance with the Norwegian State Salary Scale, job code 1013 Professor NOK696 500-882 500 or job code 1011 Associate Professor (førsteamanuensis) NOK 517 300-649 800. A higher salary may be considered for specially qualified candidates. By law 2% of the salary is deducted as to the State Pension Fund.

According to the Norwegian Freedom and 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. 

Evaluation committee

As an applicant you will be assessed by an expert evaluation committee. You must upload the following documents together with your application by the final date for applications:

  • CV (including teaching and supervision experience and the name and contact information of at least three references)
  • full list of publications
  • copies of certificates/diplomas (including formal education in pedagogics, if applicable)
  • up to fifteen full-text scientific articles, submitted together with a table of contents and a short introduction highlighting the relevance of the article to the profile of the position.
  • a text (up to 2 pages) outlining the candidate’s relevant pedagogical experience and plans for pedagogical activity and development in the position (“teaching statement”)
  • a text (up to 2 pages) outlining the candidate’s relevant research and plans for research activity in the position (“research statement”)
  • other relevant documentation

If you wish to apply for the position, you must apply electronically by clicking the button at the bottom of the advertisement “Apply for position”. All application documents submitted should be in English or a Scandinavian language.

Applications delivered by other means will not be considered.

If you have problems with up loading of the documents, please contact HR adviser Mette Bjørtomt, email: metteb@hioa.no

It is important to HiOA 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. Women are strongly encouraged to apply.


Final date of application:           15.02.2018

Ref. no:                                   17/09085

Type of employment Unbefristete Anstellung
Contract type Full time
Number of positions 1
Working hours 100%
City Oslo
County Oslo
Country Norway
Reference number 17/09085
Published 03.Jan.2018
Last application date 15.Feb.2018 11:59 PM CET

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