BI Norwegian Business School invites applications for the position of Assistant Professor in Data Science at the Department of Data Science and Analytics.

The department is a leading hub for data science, blending technical expertise with business acumen through interdisciplinary research and impactful teaching. The department works in both applied and theoretical research in data science and statistics and aims at publications in top journals in the field. We are home to the Center for Applied AI and a key partner in SURE-AI, the national centre for sustainable and ethical AI. As a proud NORA member, we foster excellence across Norway’s premier AI research community.

Job description

Through its academic work, BI has an ambition to make its mark in the international research community while at the same time developing our students’ academic competence and skills. Relevance and impact on practice will be ensured through extensive contact with business and industry. Teaching must be based on the cutting edge of research, show practical relevance for working life, and develop both academic competence and skills in the students.

The Department of Data Science at BI Norwegian Business School in Oslo, Norway invites applications for a tenure-track position as Assistant Professor. Applicants from any relevant field are welcome, with a preference for candidates with a background in machine learning, statistical learning, and/or artificial intelligence, including applications relevant for topics at the business school. The appointment starts in the fall 2026.

The tenure-track position has a duration of four years, a low teaching load, and an internationally competitive salary. The Department of Data Science has a bonus system for publications in selected journals and conference volume with a generous per publication reward system, and we provide ample support for research-related activities and conference travels.

Expectations and obligations

Our faculty is expected to provide teaching and supervision of a high academic and pedagogical quality and is expected to continuously develop their teaching skills, e.g. by making use of new technology, new ways of learning, and new forms of assessment. We focus on quality and competence development, and pedagogical activities should be continuously documented, supporting the process for further academic career development to all positions.

Qualification Requirements

Scientific positions

• PhD degree in computer science, mathematics, statistics or related fields.
• Experience with teaching is highly preferred but not required.

Other assessment criteria

• Language skills; English written and oral.
• All pedagogical and research positions must document language proficiency, according to Norwegian law, in Norwegian at minimum the B2 level or be subject to acquiring the level within 3 years after tenured appointment.
• Good communication skills.
• Previous experience with data science and business topics.

The following qualifications will be also considered in the assessment of the applicants:

• Knowledge of and interest in modern pedagogical approaches, as well as the development of study programs, will be appreciated.
• Weight will also be given to experience from public sector, business and/or the public sector, including R&D work, research dissemination and research-based advisory services.
• International work experience in the field of economics and business administration is valued.

What we can offer

The position normally offers membership in BIs collective pension scheme.

• A good working environment at one of Scandinavia's leading business schools.
• Good research support and publication remuneration.
• Supportive professional environment.
• Strong focus on professional career development.
• Relocation services for you and your family (if needed).

Application procedure

Qualifications will be evaluated according to the usual rules for academic positions at universities and specialized university institutions, as well as BI provisions for appointment and promotion.

Candidates interested in this position must submit their application electronically through the “send application” button, and upload the following documents:

• Cover letter
• CV and publication list
• Certificate from the highest degree obtained
• Scientific works and pedagogical dissemination articles
• Research statement
• Teaching statement
• Other documentation that may be important for assessing the level of competence Work may not be submitted after the deadline

Women are encouraged to apply. BI Norwegian Business School is an equal opportunity employer. Qualified applicants may be called in for an interview, trial lecture, or seminar presentation. BI Norwegian Business School reserves the right not to appoint applicants who are academically qualified if they are found not to satisfy other explicit requirements with respect to pedagogical skills, teaching experience, work experience in or in cooperation with the business sector or inter-personal skills.

Further information

For further information regarding the recruitment process, documentation requirements, and evaluation criteria, please see this guide.

Further information about the position can be obtained by contacting Francesco Ravazzolo, Head of Department francesco.ravazzolo@bi.no.

For more information about the department and the school visit: 

https://www.bi.no/en/research/find-department/department-of-data-science-and-analytics/

About Oslo

Oslo, the capital of Norway, is an international, fast growing, and attractive city. For more information on Oslo, please visit: this site