Publisher
source

Knut-Andreas Lie

3 weeks ago

PhD Candidate in Agentic AI, Uncertainty and Risk for Decision-Oriented Modelling Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Norway

University

Norwegian Institute of Science and Technology

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Keywords

Computer Science
Information Technology
Mathematics
Risk Assessment
Industrial Engineering
Computational Science
Uncertainty Analysis
Optimisation
Statistics
Decision Support System
Physics

About this position

NTNU (Norwegian University of Science and Technology) is advertising a PhD candidate position in agentic AI, uncertainty and risk for decision-oriented modelling.

The project focuses on how agentic AI can be combined with modelling tools, simulation workflows, uncertainty quantification, and decision support to make advanced scientific computing more accessible, transparent, and useful. The position is part of aiD – AI for Decisions, a new national AI centre led by NTNU and SINTEF.

Relevant research interests include agentic AI, uncertainty quantification, risk analysis, scientific computing, optimization, and computational modelling. The post specifically highlights candidates with a strong background in mathematics, scientific computing, uncertainty quantification, optimization, or related areas.

This is a PhD opening rather than a scholarship announcement. The provided text does not mention stipend amount, tuition coverage, or fee waivers.

Applications should be submitted via the official Jobbnorge vacancy page linked in the post. No deadline is visible in the provided excerpt, so applicants should check the full posting for the closing date and required documents.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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