PostDoc Position in Applied Mathematics (Image Processing, Inverse Problems, Data Science)
The University of Graz invites applications for a PostDoc position in the field of applied mathematics, with a focus on mathematical image processing, inverse problems, and data science. The position is based in the Department of Mathematics and Scientific Computing and offers a dynamic research environment with opportunities for interdisciplinary collaboration and third-party funded projects. The successful candidate will engage in independent research and publication activities, participate in ongoing and new research projects, and contribute to the development of innovative solutions in analysis, optimization, numerics, and algorithmic methods.
Responsibilities include teaching courses and conducting examinations in applied mathematics, supervising students, and participating in organizational and administrative tasks. The position also provides the possibility to work on a habilitation project and to be involved in the application process for third-party funded projects. The University of Graz values diversity, inclusion, and flexibility, offering a supportive environment with access to healthcare services, continuing education, and family-friendly working models.
Applicants must hold a doctorate/PhD in a mathematical branch of study and possess solid knowledge in mathematical methods, analysis and numerics in imaging, inverse problems, or data sciences. Excellent English language skills are required, and candidates should be able to teach in German after a transition period of two years. The role demands an independent working style, teamwork, organizational talent, and strong communication skills. Application documents include a letter of motivation and an academic CV.
The position offers an annual gross salary of at least €70,200.20 for full-time employment, with the possibility of overpayment based on qualifications and experience. The contract is temporary, lasting up to six years. The University of Graz encourages applications from qualified women and persons with disabilities, and prioritizes diversity in its hiring practices.
For further information, applicants may contact Prof. Kristian Bredies at [email protected]. Applications must be submitted via the university's web-based applicant tool by April 10, 2026. Join a vibrant academic community dedicated to addressing future challenges and advancing knowledge in applied mathematics.
