The University of Bergen (UiB) is an internationally recognised research university with more than 14,000 students and close to 3,500 employees at six faculties. The university is located in the heart of Bergen. Our main contribution to society is excellent basic research and education across a wide range of disciplines.
Associate Professor in Data Science

There is a vacancy for a permanent associate professor position at the Department of information science and media studies within data science.

The Department of information science and media studies was established in 2004 by merging the former Department of information science and Department of media studies. The staff counts about 70 people, including 30 permanent faculty members and approximately 20 PhD and postdoc positions. The department offers separate bachelor- and master-programs in both information science and media. There are also bachelor programs in Film and TV-production, Journalism and New Media. Furthermore, the department co-hosts interdisciplinary programs for ICT, Cognitive Science and Rhetoric. The department is partner in Media City Bergen. This media-cluster opens in 2017 and will facilitate research and education in the practices of media and media-technology. For instance, there will be a new program in interaction design for digital media.

The research profile of the department is characterized by a strong focus on the traditions of both disciplines as well as its interdisciplinary nature. Within information science there are research-groups on interaction-research, semantic and social information-systems and logic, information and interaction.

Work tasks/research field:
The position includes responsibility for teaching core topics in information science, such as programming, data management, information-systems, semantic technologies, artificial intelligence, the social web and interaction design.
Research shall be conducted within the field of data science with an aim to develop research on big data in cooperation with the present faculty

Qualifications and personal qualities:
The applicant must have a doctoral degree in the relevant field or equivalent qualifications.
Experience from system development and programming
Ability to publish research results in data science beyond doctorate at a high international level. In assessing the scientific work research from the five latest years will be emphasized
Teach information science both at undergraduate and graduate level
Work independently and in a structured manner, and have the ability to cooperate with others.
Basic pedagogical training is a requirement for the position. The successful applicant will be offered training if this requirement is not met prior to employment.

The teaching language will normally be Norwegian. The successful applicant will be required to teach in Norwegian or another Scandinavian language within two years of being appointed.

We can offer:
A good and professionally challenging working environment
Salary at pay grade 60 - 68 (code 1011/ Pay range 24.4) in the state salary scale. This currently amounts to an annual salary of NOK 510 100,- NOK 591 4000,- before taxes. Further increase in salary will depend on seniority. A higher salary may be considered for a particularly well qualified applicant.
Enrolment in the Norwegian Public Service Pension Fund
A position in an inclusive workplace (IA enterprise)
Good welfare benefits

Your application must include:
CV
Diplomas
References
Complete list of publications
List with appendices that document your pedagogical qualifications
including information about where this work was published
List of academic work that the applicant believes should be taken into consideration in the assessment, including information about where this work was published.

The application and appendices with certified translations into English or a Scandinavian language must be uploaded at JobbNorge.

The expert committee will assess candidates based on the criteria above. The faculty will then invite the best qualified candidates to submit their academic work.

The closing date is May 1, 2016
The application has to be marked with: Reference 16/3561
We kindly ask the applicants to follow the guidelines for applicantsto intermediate level positions at the Faculty of Social Sciences closely. The guidelines are obtainable by contacting post@svfa.uib.no.

General information:
Detailed information about the position can be obtained by contacting Head of Department, Professor Leif Ove Larsen, telephone: 00 47 55 58 41 16, e-mail leif.larsen@uib.no.

Practical questions about the application process should be directed to Senior officer Bodil Hægland, e-mail: bodil.hagland@uib.no or phone +47 55 58 90 53.

The state labour force shall reflect the diversity of Norwegian society to the greatest extent possible. Age and gender balance among employees is therefore a goal. It is also a goal to recruit people with immigrant backgrounds. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.

We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply.

The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.
Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.

The appointment shall be based on the recommendation of an academic committee and an independent assessment by the appointing body, including interviews and possible testing of teaching qualifications.

The successful applicant must comply with the guidelines that apply to the position at all times. Reference is made to the general University regulations that stipulate that, as part of the normal duties of the position and within his/her academic field, the successful applicant may also be required to teach, supervise and carry out examination related tasks outside the organisational unit to which the position belongs.