Publisher
source

Norwegian Institute of Science and Technology

PhD Candidate in Structure-preserving Generative Modeling at NTNU Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

PhD position funded by NTNU and integrated in the Norwegian Center on AI for Decision (aiD). Employment is for 3 years, with a possible extension of up to 12 months for career-enhancing work depending on qualifications and motivation. Gross salary is normally NOK 580,000 per annum, and the position is conditional on external funding.

Deadline

Sep 30, 2026

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Country

Norway

University

Norwegian Institute of Science and Technology

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Keywords

Computer Science
Mathematics
Numerical Analysis
Computational Mathematics
Optimisation
Optimal Transport
Statistics
Programming Language

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About this position

NTNU (Norwegian University of Science and Technology) is advertising a PhD candidate in Structure-preserving Generative Modeling at the Department of Mathematical Sciences in Trondheim, Norway. The position is part of the Norwegian Center on AI for Decision (aiD) and connects mathematical sciences, computational mathematics, numerical analysis, generative AI, and structure-preserving algorithms.

The research direction includes techniques such as flow matching, optimal transport, neural (stochastic) differential equations, invariant Kalman filtering, and geometric numerical integration. The project also mentions software development and industrial case studies, with validation on real-world use cases through the aiD center and its industrial partners.

Eligibility highlights: applicants should hold a relevant Master's degree in mathematical sciences or equivalent, especially in computational mathematics or numerical analysis, and should have strong skills in mathematics, probabilities, optimization, and programming. A strong academic record is required, along with English proficiency. Master’s students may apply if the degree will be completed before starting.

Preferred background: experience with geometric numerical integration, structure-preserving deep learning, stochastic differential equations, generative AI, numerical optimization, and programming in Python, Julia, or Jax.

Funding and conditions: the position is funded by NTNU, lasts 3 years, and may be extended by up to 12 months for career-enhancing work. The advertised gross salary is NOK 580,000 per year, and the appointment is conditional on admission to the PhD programme in Mathematical Sciences within three months of starting.

Application deadline: 2026-09-30. Applications must be submitted electronically via Jobbnorge.no with transcripts, diplomas, CV, thesis copy or draft, project outline, publications if any, certificates if any, and three referees.

Funding details

PhD position funded by NTNU and integrated in the Norwegian Center on AI for Decision (aiD). Employment is for 3 years, with a possible extension of up to 12 months for career-enhancing work depending on qualifications and motivation. Gross salary is normally NOK 580,000 per annum, and the position is conditional on external funding.

What's required

Relevant Master's degree in mathematical sciences or equivalent, especially computational mathematics or numerical analysis, with experience using AI tools. The degree must correspond to a five-year Norwegian course with 120 master's credits completed before start. Applicants need a strong academic background with an average grade of B or better on NTNU's scale, admission eligibility for the faculty's Doctoral Programme, good oral and written English, and strong skills in mathematics, probabilities, optimization, and programming. Preferred experience includes geometric numerical integration, structure-preserving deep learning, stochastic differential equations, generative AI, numerical optimization, and strong programming in Python, Julia, or Jax.

How to apply

Apply electronically via Jobbnorge.no and include transcripts and diplomas for Bachelor's and Master's degrees, CV, copy or draft of Master's thesis, a project outline, relevant publications or research work, certificates if any, and names/contact information for three referees. If your education was taken abroad, attach documentation of scope and quality plus diploma supplement and any HK-dir statement. Submit before the deadline.

More information can be found here

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