Caroline Moosmüller
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2 days ago
Postdoctoral Researcher (m/f/d) 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
Postdoctoral Researcher (m/f/d) at the University of Graz, Austria, in the Department of Mathematics and Scientific Computing.
This is a full-time postdoctoral position (University Assistant with Doctorate) for 1 year, starting as soon as possible. The role offers an annual gross salary of at least € 70,200.20 (salary category B1 with PhD), with possible overpayment depending on qualification and experience.
The successful candidate will carry out independent research and publication activities in the field of mathematics of machine learning. The position also involves participation in ongoing research projects and the development of new research initiatives in areas including optimal transport, classification algorithms, and their applications in biology and medicine. In addition to research, the appointee will teach courses, administer examinations, and provide academic and organizational support for students in the institute’s study programs.
Applicants should hold a completed doctoral or Ph.D. degree in mathematics or a closely related discipline such as statistics or computer science. Strong knowledge is expected in at least one of the following: mathematical methods, analysis and numerical aspects of machine learning, optimal transport, data science, harmonic analysis, or applications in biology and medicine. The university also seeks candidates who can contribute to interdisciplinary cooperation projects, work independently across research, teaching, and administration, and demonstrate excellent written and spoken English, teamwork, organizational skills, and good communication.
Application materials include a letter of motivation, an academic CV with a publication list, and a specific letter of recommendation. The deadline is 2026-09-28. Applications must be submitted through the university’s web-based applicant tool.
Contact: Ass.-Prof. Dr. Caroline Moosmüller ([email protected]).
Funding details
Available
What's required
Completed doctoral or Ph.D. studies in a mathematical discipline, or in a related field such as statistics or computer science. Profound knowledge in one of the following areas: mathematical methods, analysis and numerical aspects of machine learning, optimal transport, data science, harmonic analysis, or applications in biology and medicine. Applicants should be able to integrate into the department’s research profile, contribute to interdisciplinary cooperation projects, work independently in research, teaching and administration, communicate well in written and spoken English, and demonstrate teamwork, organizational ability, and strong communication skills.
How to apply
Prepare a letter of motivation, academic CV including a list of publications, and a specific letter of recommendation. Submit the application via the university’s web-based applicant tool using the provided application link. Applications sent by other means are not accepted.
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