Caroline Moosmüller
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Postdoctoral Research Position in Mathematics of Machine Learning University of Graz in Austria
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Sep 28, 2026
Country
Austria
University
University of Graz
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About this position
University of Graz is offering a fixed-term postdoctoral academic position at the Institute for Mathematics and Scientific Computing in Graz, Austria. The role is titled Universitätsassistent:in mit Doktorat (m/w/d) and is centered on research and teaching in the mathematics of machine learning.
The successful candidate will conduct independent research and publish actively in areas including machine learning mathematics, optimal transport, classification algorithms, and related applications in biology and medicine. In addition to research, the position includes independent teaching, running examinations for institute programs, and supervising students administratively and academically.
This post is especially relevant for applicants with a strong mathematical background and interests in applied and computational methods. The posting explicitly welcomes expertise in mathematical methods, analysis and numerics of machine learning, optimal transport, data science, harmonic analysis, and interdisciplinary work connected to biological or medical applications. A completed PhD/doctorate in mathematics or a related field such as statistics or computer science is required, together with excellent English and strong teamwork, communication, and organizational skills.
The appointment is fixed-term for 1 year and is offered on the B1 doctoral salary scale. The advertised full-time gross annual salary is €70,200.20, with possible higher pay depending on qualifications and experience. The position begins as soon as possible. The application deadline is 2026-09-28.
Applications must be submitted via the University of Graz online tool. Required documents include a motivation letter, an academic CV with publication list, and a specific recommendation letter. Contact for the post is Ass.-Prof. Dr. Caroline Moosmüller ([email protected]).
Funding details
Available
What's required
Applicants must hold a completed doctorate or PhD in mathematics or a similar field such as statistics or computer science. Strong knowledge in one or more of the following is required: mathematical methods, analysis and numerics of machine learning, optimal transport, data science, harmonic analysis, or biological and medical applications. Candidates should be able to integrate into the institute’s research profile and collaborate on interdisciplinary projects. Excellent spoken and written English, plus team, organizational, and communication skills, are required. A motivation letter, academic CV including publication list, and a specific letter of recommendation are required for application.
How to apply
Apply only through the university’s web-based application tool. Submit a motivation letter, academic CV including publications, and a specific recommendation letter. Use the application link provided in the posting before the deadline.
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