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Kristian Bredies

5 days ago

PostDoc Position in Applied Mathematics University of Graz in Austria

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Sep 25, 2026

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Country

Austria

University

University of Graz

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Keywords

Computer Science
Data Science
Image Processing
Computational Mathematics
Optimisation
Statistics
Pde
Inverse Problem
Applied Mathematic

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About this position

The University of Graz is advertising a PostDoc position in applied mathematics within the Department of Mathematics and Scientific Computing. The post is focused on independent research, publication, and teaching in a strong mathematical environment with opportunities to contribute to ongoing and new projects. The research emphasis is on mathematical image processing, inverse problems, and data science, with a particular focus on analysis, optimization, numerics, and algorithmic solution methods.

The role is designed for a researcher with a completed doctorate/PhD in mathematics or a closely related mathematical branch. The successful candidate is expected to contribute to interdisciplinary cooperation projects, third-party funded projects, and potentially a habilitation project. Teaching responsibilities include independent delivery of courses and examinations in applied mathematics, as well as supervision of students and participation in departmental administrative and organizational tasks.

The position offers a full-time annual gross salary of at least €70,200.20, with possible overpayment depending on qualification and experience. The contract is temporary for 6 years, and the employment start is as soon as possible. The advertised deadline for applications is 2026-09-25.

Applicants should have solid knowledge in mathematical methods, analysis and numerics in imaging, inverse problems, or data sciences, along with excellent English and the ability to teach in German after a transition period of two years. Teamwork, communication skills, independent working style, and organizational ability are highlighted as important qualities.

For further information, contact Prof. Kristian Bredies at [email protected]. Applications must be submitted exclusively through the university’s online applicant tool.

Funding details

Available

What's required

Completed doctorate/PhD in a mathematical branch of study. Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences. Ability to integrate into the department’s research profile and contribute to interdisciplinary cooperation projects. Independent working style in research, teaching and administration. Excellent written and spoken English. Ability to teach in German after a transition period of 2 years. Capacity for teamwork, organizational talent, and strong communication skills.

How to apply

Prepare a letter of motivation and an academic CV. Submit the application only via the university’s web-based applicant tool using the provided application link. For questions, contact Prof. Kristian Bredies by email.

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