Postdoctoral Research Fellow

BI Norwegian Business School invites applications for the position of Postdoctoral Research Fellow in the Norwegian Center for Sustainable, Risk-Averse and Ethical AI (SURE-AI), located at the Department of Data Science and Analytics. The appointment is a full-time position for a period 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 collaborates closely 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 Norwegian Business School.

Project description

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

SURE AI - Centre for Sustainable, Risk-Averse and Ethical AI is a Norwegian AI centre funded by the Research Council of Norway (2025–2030). It comprises around 50 faculty members from well-renowned higher education institutions in Norway, in close collaboration with industry and the public sector. The primary objective of SURE-AI is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of computational techniques. The research emphasizes efficiency in resource and data usage, reducing environmental impact, and ensuring 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 and collaborate with AMOR - the Interdisciplinary Center for Applied Mathematics and Operations Research locally at BI Norwegian Business School. The successful candidate will contribute to SURE-AI’s research agenda, including cross-institutional collaborations and industry interactions.

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 qualification requirements 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, with strong links to industry

Application procedure

Qualifications will be evaluated according to the usual rules for academic positions at universities and specialized university institutions, as well as BI Norwegian Business School 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 (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 and telephone 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, fabian.a.harang@bi.no, or Head of Department Francesco Ravazzolo at francesco.ravazzolo@bi.no.
For more information about the department and the school visit here