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Associate Professor in Image Analysis and Pattern Recognition / Machine Learning

Deadline 03.03.2019

Job description

Universitetet i Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.


The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.


The Department has more than 1400 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time scientific staff is 75, mostly Full/Associate Professors.

Flere stillinger fra Universitetet i Oslo

A full-time associate professor position is available in the Digital Signal Processing and Image Analysis (DSB) group of the Department of Informatics. The specialization is in the field of image analysis and pattern recognition. The department is seeking a potential scientific leader with clear research visions and educational skills, as well as administrative skills for research management.

The Digital Signal Processing and Image Analysis research group has five full-time and six adjunct positions. We perform research over a wide range of applications in image analysis as well as in digital signal processing/acoustic imaging. There are about 25 PostDocs and PhD students in the group with financing from a variety of national and international sources, as well as from industry. More information can be found on the group’s homepage.

The applicant must have a solid background in image analysis and pattern recognition/machine learning, and preferably also experience with deep learning for image analysis applications. The latter can include teaching or formal training, extensive user experience and good knowledge of deep learning software, or publications in the field of deep learning.

A background related to ongoing research activities in the group is preferable and a research plan demonstrating a commitment to work in the application areas of the group is required. The present research topics comprise medical image analysis, sonar, in-silico optical pathology, and remote sensing.

Qualification requirements

  • The candidate must have a PhD ( or equivalent ) in a relevant area.
  • The candidate must have achieved associate professor level in image analysis and pattern recognition/machine learning.
  • Preference will be given to a candidate who also has experience with deep learning for image analysis applications.
  • Emphasis will be put on the candidate’s research output over the last five years.
  • Since the area of image analysis and pattern recognition is constantly evolving, the versatility and proven ability to adapt the research focus is considered an advantage.
  • Candidates should also be able to lead, conduct and collaborate in research projects. A track record in academic and administrative leadership is an advantage, as well as participation in the acquisition of research grants.
  • Collaboration with national and international research and industry has been a strong tradition in the DSB group and the candidate is expected to take a leading role in this activity.
  • Documented pedagogical skills
  • Fluency in both written and spoken English is a prerequisite.

The DSB group offers a range of courses in image analysis ranging from a bachelor course in image processing to two MSc/PhD courses in image analysis, pattern recognition and deep learning for image recognition applications. The candidate is expected to be involved in teaching these courses at all levels. BSc and partly MSc level teaching is given in Norwegian and foreign applicants must commit to teaching in a Scandinavian language in two years.

The candidate for this position will be selected based on excellence and fit with the section’s research profile.

We offer

  • salary NOK 631 700 – 731 400 per annum depending on qualifications in position as Associate professor (position code 1011)
  • a professionally stimulating working environment
  • attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
  • the opportunity to apply for promotion to full professorship at a later stage

How to apply

The application must include:

  • Application letter
  • CV (including complete list of education, positions, pedagogical experience, administrative experience, project acquisition and coordination experience, funding and awards, and other qualifying activities)
  • Copies of educational certificates, PhD diploma, transcript of records and letters of recommendation
  • A complete list of publications and academic merits and awards (if not included in the CV
  • Full text of up to 10 selected publications the applicant wishes to include in the evaluation
  • A document discussing the importance, interrelation, and relevance of the selected papers for this position
  • A research statement describing scientific ambitions for the nearest futur
  • Listing of teaching experience as well as work on developing/revising/renewing study plans and the design of course
  • Documentation of teaching qualifications and supervision of Master and PhD students, and up to a page describing teaching philosophy
  • Description of dissemination activities beyond scientific publications
  • List of 3 reference persons (name, relation to candidate, e-mail and phone number)

The application with attachments must be delivered in our electronic recruiting system. Please submit the documents as PDF-files (maximum 2 MB / file). Please note that all documents should be in English (or a Scandinavian language).

In the evaluation of the qualified candidates the full range of these criteria will be explicitly addressed and assessed.

Relevant candidates will be called for interviews and requested to hold trial lectures, and references may be consulted.

Formal regulations

The successful candidate who at the time of appointment cannot document basic teaching qualifications will be required to obtain such qualifications within a two-year period.

The successful candidate must demonstrate mastery of both English and one of the Scandinavian languages as working languages. If an appointee is not fluent in a Scandinavian language, the appointee will be expected within a two-year period to learn sufficient Norwegian to be able to participate actively in all functions the position may involve.

The basis for assessment will be the scholarly production of the applicant, other qualifications, pedagogical or educational, the applicant’s qualifications within leadership and administration as well as the general personal suitability. In ranking the competent applicants, the full range of qualifications will be considered and explicitly assessed.

Please see the rules for Appointments to Professorships and Associate Professorships and Rules for the assessment and weighting of pedagogical competence.

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.

The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.

The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.

Contact information

  • Professor Anne Solberg, email: anne@ifi.uio.no, tel. +47 22 85 24 35/ +47-970 44 299
  • Professor Fritz Albregtsen, email: fritz@ifi.uio.no, tel. +47 22 85 24 63/ +47-911 63 005

For technical questions about the recruitment system, HR Adviser Torunn Standal Guttormsen, email: t.s.guttormsen@mn.uio.no, tel. +47 22 85 42 72.

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