Postdoc in Applied Math: Imaging & Inverse Problems

University of Graz; Graz; Vor Ort; EUR 63.000 - 77.000; Vollzeit

Benefits dieser Stelle

Meaningful work

Continuing education program

Interdisciplinary collaboration

Diversity and inclusion

Flexible working time models

Zusammenfassung

The University of Graz invites applications for an academic position in the Department of Mathematics and Scientific Computing. The role emphasizes independent research in applied mathematics with focus areas such as mathematical image processing, inverse problems and data science within a collaborative environment.

Responsibilities include leading research projects, teaching courses, supervising students, and engaging in interdisciplinary and third‑party funded initiatives.

Qualifikationen

• Completed doctorate/PhD in a mathematical branch of study.
• Solid knowledge of mathematical methods, analysis and numerics in imaging, inverse problems or data sciences.
• Ability to integrate into the department’s research profile and to contribute to interdisciplinary cooperation projects.

Aufgaben

• Independent research and publication activities in the field of applied mathematics.
• Participation in existing research projects and development of new research projects in mathematical image processing, inverse problems and data science.
• Collaboration in interdisciplinary cooperation projects and third-party funded projects.
• Possibility to work on a habilitation project.
• Independent teaching of courses and examinations in applied mathematics.
• Professional and organizational supervision of students of the department.
• Participation in organizational and administrative tasks as well as evaluation measures.

Kenntnisse

English proficiency

German teaching ability

Teamwork

Ausbildung

PhD in mathematics

Jobbeschreibung

The University of Graz invites applications for an academic position in the Department of Mathematics and Scientific Computing. The role emphasizes independent research in applied mathematics with focus areas such as mathematical image processing, inverse problems and data science within a collaborative environment.

Responsibilities include leading research projects, teaching courses, supervising students, and engaging in interdisciplinary and third‑party funded initiatives.