Postdoctoral Research Fellow

BI Norwegian Business School invites applications for the position of Postdoctoral ResearchFellow in the Norwegian Center for Sustainable, Risk-Averse and Ethical AI (SURE-AI), located atthe Department of Data Science and Analytics. The appointment is a full-time position for aperiod of three years. The place of work is BI’s Oslo campus.

The Department of Data Science and Analytics conducts research and education in data science,statistics, machine learning, optimization, and business analytics. The department collaboratesclosely with industry and the public sector and hosts regular research seminars and joint projects.

Starting date: 1 April 2026 (or by agreement)
Application deadline: 12 January 2026.

No one can be appointed for more than one Postdoctoral Research Fellowship at BI NorwegianBusiness School.

Project description

Six national research centers for Artificial Intelligence launched in the fall of 2025. Thesecenters will foster interdisciplinary collaboration among researchers to address societalchallenges, understand the impact of AI, develop new technologies, and drive innovation acrossboth the business and public sectors. This initiative is established and financed through thegovernment's significant investment in artificial intelligence over the next five years (regjerningen.no)

SURE AI - Centre for Sustainable, Risk-Averse and Ethical AIis a Norwegian AI centre funded bythe Research Council of Norway (2025–2030). It comprises around 50 faculty members fromwell-renowned higher education institutions in Norway, in close collaboration with industry andthe public sector. The primary objective of SURE-AI is to create a new generation of algorithmsfor inference and decision-making by pushing the boundaries of computational techniques. Theresearch emphasizes efficiency in resource and data usage, reducing environmental impact, andensuring ethical alignment with societal values.

The postdoctoral research fellow will join a strong research group in applied mathematics,statistics, and data-centric AI within the Department of Data Science and Analytics andcollaborate withAMOR - the Interdisciplinary Center for Applied Mathematics and Operations Researchlocally at BI Norwegian Business School. The successful candidate will contribute toSURE-AI’s research agenda, including cross-institutional collaborations and industryinteractions.

Research themes of the fellowship include:

• Uncertainty-aware machine learning and stochastic analysis for optimal control under risk
• Data-driven modeling and forecasting for complex systems in operations, retail, energy,logistics, or related domains
• Stochastic and rough analysis methods for data science
• Stochastic modeling for sustainability and energy markets

Through its academic work, BI Norwegian Business School has an ambition to make its mark in the international research community. The successful fellow is expected to:

• Conduct high-quality research aligned with SURE-AI objectives
• Develop and apply advanced stochastic modeling techniques
• Collaborate with interdisciplinary teams and industry partners
• Organize and execute data collection and case studies
• Publish in leading academic journals and present at conferences
• Contribute to workshops, seminars, and dissemination activities

Qualification Requirements

• PhD in applied mathematics, statistics, data science, computer science, or operations research. Only applicants with an approved doctoral thesis and public defense are eligible for appointment.
• Strong research background in stochastic modeling
• Language skills: English written and oral
• Experience with stochastic/rough analysis, probabilistic machine learning, or optimization methods is desirable
• Proficiency with relevant computational tools (Python, PyTorch/JAX, probabilistic programming)

Personal skills:

• Ability to communicate science
• Ability to collaborate with researchers from different fields and at different career stages
• Willingness to be part of a team to share knowledge and skills
• Enthusiasm for interdisciplinary collaboration
• Strong organizational skills
• Positive attitude and the ability to handle hectic periods
• Collaborative mindset, enthusiasm for stakeholder engagement and proactive attitude
• Ability to handle periods of high activity while maintaining quality

Employment in the position is based on a comprehensive assessment of all qualificationrequirements applicable to the position, including personal skills.

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
• Research support
• Supportive professional environment
• Strong focus on professional career development
• BI offer Norwegian language courses for all international employees
• Flexibility and possibility for international collaboration
• Modern campus facilities in central Oslo
• A stimulating, interdisciplinary research environment through AMOR and SURE-AI, withstrong links to industry

Application procedure

Qualifications will be evaluated according to the usual rules for academic positions at universitiesand specialized university institutions, as well as BI Norwegian Business School provisions forappointment 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 (up to 10 works)
• Other documentation that may be important for assessing the level of competence
• A short project proposal (max 1 page) reflecting the candidate’s research interest
• (Names and contact details of 2-3 references (name, relation to candidate, e-mail andtelephone number)).

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.

Further information
Further information about the position can be obtained by contacting Fabian Harang, Project Leader, [emailprotected], or Head of Department Francesco Ravazzolo at[emailprotected].
For more information about the department and the school visithere