Norwegian Institute of Science and Technology
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PhD in Structure-preserving Generative Modeling Norwegian University of Science and Technology in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
PhD position funded by NTNU and the project, with an employment period of 3 years and possible extension of up to 12 months for career-enhancing work. Gross salary normally NOK 580,000 per annum depending on qualifications and seniority. The position is conditional on external funding.
Deadline
Sep 30, 2026
Country
Norway
University
Norwegian Institute of Science and Technology

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About this position
PhD opportunity at the Norwegian University of Science and Technology (NTNU) in Structure-preserving Generative Modeling, hosted by the Department of Mathematical Sciences in Trondheim, Norway.
The project sits within the Norwegian Center on AI for Decision (aiD) and combines mathematics, numerical analysis, AI, generative modeling, optimal transport, neural differential equations, stochastic differential equations, and geometric numerical integration. The work includes theoretical and algorithmic development, software development, and industrial case studies, with validation on real-world use cases.
Supervisors: Professor Elena Celledoni (NTNU) and Senior Researcher Sølve Eidnes (SINTEF).
Funding: 3-year PhD employment funded by NTNU/project, with possible extension of up to 12 months. Salary is normally NOK 580,000 per year depending on qualifications and seniority.
Eligibility highlights: relevant Master's degree in mathematical sciences or equivalent; strong background in computational mathematics, numerical analysis, probabilities, optimization, and programming; good English; admission eligibility for the PhD programme; master’s degree must be completed before start. Preferred experience includes structure-preserving deep learning, stochastic differential equations, generative AI, numerical optimization, and programming in Python, Julia, or Jax.
How to apply: submit the application through Jobbnorge.no with transcripts, diplomas, CV, thesis copy or draft, project outline, publications/other research work, certificates, and three referees. If your education was completed abroad, include documentation of scope and quality, diploma supplement, and any HK-dir statement.
Deadline: 30 September 2026, 23:59 (Europe/Oslo).
Funding details
PhD position funded by NTNU and the project, with an employment period of 3 years and possible extension of up to 12 months for career-enhancing work. Gross salary normally NOK 580,000 per annum depending on qualifications and seniority. 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 master's degree must correspond to a five-year Norwegian course with 120 credits at master's level and be completed before starting. Applicants need a strong academic background with average grade B or better on NTNU's scale, eligibility for admission to the PhD 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. 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 other research work, certificates if available, and names and contact information of three referees. If education was taken abroad, attach documentation of scope and quality plus diploma supplement and any HK-dir statement.
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