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University of Oslo

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Postdoctoral Research Fellow in Stochastic Analysis and Computational Methods at University of Oslo University of Oslo in Norway

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral fellowship for three years, with 10% of time devoted to career-promoting work such as teaching. A fourth year may be considered depending on qualifications and departmental needs, with 25% devoted to career-promoting work. Salary is NOK 595,000–690,000 depending on competence and experience.

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Country

Norway

University

University of Oslo

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Keywords

Computer Science
Mathematics
Finance
Statistical Analysis
Mathematical Statistics
Economics
Statistics
ML

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About this position

University of Oslo is advertising a Postdoctoral Research Fellow in Stochastic Analysis and Computational Methods at the Department of Mathematics, within the Section of Risk and Stochastics. The position is hosted at Blindern campus in Oslo, Norway.

The project sits inside the interdisciplinary SURE-AI consortium, a Norwegian AI centre focused on creating new algorithms for inference and decision-making while improving efficiency, transparency, safety, and ethical alignment in AI. The research environment connects mathematics, stochastic analysis, computational methods, and machine learning, with applications to economics, finance, energy finance, sustainable and ethical economics, insurance, and risk-sensitive decision making.

Strongly relevant research areas include stochastic analysis, probability, mathematical statistics, stochastic control, stochastic filtering, forward and backward stochastic differential equations, Malliavin calculus, signature methods, computational stochastics, and machine learning. Candidates with a clear interest in computational methods and applications are especially encouraged.

Eligibility requires a degree equivalent to a Norwegian PhD in one of the relevant mathematical areas. The doctoral dissertation must be submitted by the closing date, and only applicants with an approved thesis and public defence are eligible for appointment. Strong English communication skills are required. Interdisciplinary experience, programming skills, and knowledge of Scandinavian languages are considered advantages.

The appointment is full-time for three years, with the possibility of a fourth year depending on qualifications and departmental needs. The salary range is NOK 595,000–690,000. The post is part of a research-intensive, internationally oriented group and includes career development expectations such as a professional development plan after commencement.

Apply via the job advertisement/application portal and review the full posting for required documents and submission details. The posting does not state a deadline in the extracted text shown here.

Funding details

Full-time postdoctoral fellowship for three years, with 10% of time devoted to career-promoting work such as teaching. A fourth year may be considered depending on qualifications and departmental needs, with 25% devoted to career-promoting work. Salary is NOK 595,000–690,000 depending on competence and experience.

What's required

Applicants must hold a degree equivalent to a Norwegian doctoral degree in stochastic analysis, probability, mathematical statistics, numerical methods for stochastics, forward and/or backward stochastic differential equations, stochastic control, or stochastic filtering. The doctoral dissertation must be submitted for evaluation by the closing date, and only applicants with an approved doctoral thesis and public defence are eligible. Fluent oral and written English is required. Interdisciplinary research experience, programming skills, knowledge of computational methods for stochastics, and familiarity with Malliavin calculus, stochastic filtering, risk measures, or signature methods are advantageous. Knowledge of a Scandinavian language may help with teaching and supervision.

How to apply

Apply through the job advertisement on Jobbnorge/University of Oslo. Review the full advertisement, prepare the required doctoral documentation and supporting materials, and submit the application via the application portal before the closing date shown on the posting.

More information can be found here

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