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Aarhus University

PhD Position in Probability Theory and Analysis at Aarhus University Aarhus University in Denmark

Degree Level

PhD

Field of study

Mathematics

Funding

PhD position under the ERC Advanced Grant RanGe; funding details beyond the position itself are not specified in the post.

Deadline

Nov 1, 2026

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Country

Denmark

University

Aarhus University

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Keywords

Mathematics
Statistical Analysis
Probability Theory
Geometry
Markov Processes
Riemannian Geometry
Series Analysis
Mathematical Inequalities

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About this position

PhD opportunity in Probability Theory and Analysis at Aarhus University, Denmark, within the Graduate School of Natural Sciences and the Department of Mathematics.

The position is linked to the ERC Advanced Grant RanGe and is hosted by the group of Prof. Fabrice Baudoin. Research themes mentioned in the post include stochastic analysis and geometry, heat kernel estimates, functional inequalities, Markov processes, and sub-Riemannian geometry.

Eligibility highlights: applicants should have a Master's degree in mathematics or a closely related field (completed or expected before the start date) and a strong background in probability and analysis.

Application details: apply through the Aarhus University PhD portal, select the Nov 2026 call, choose Programme: Mathematics and Study: PhD Position in Probability Theory and Analysis (PPThA), and upload the project description as a PDF copied from the advert.

Deadline: 1 Nov 2026, 23:59 CET. Start date: Feb 2027 or later. Contact: [email protected].

Funding details

PhD position under the ERC Advanced Grant RanGe; funding details beyond the position itself are not specified in the post.

What's required

Master's degree in mathematics or a closely related field, completed or expected before the start date, with a strong background in probability and analysis.

How to apply

Go to the Aarhus University PhD application portal, choose the Nov 2026 call, select Programme "Mathematics" and Study "PhD Position in Probability Theory and Analysis (PPThA)", then upload the project description as a PDF copied from the advert.

More information can be found here

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