Austria / University Graz: University Assistant with doctorate Department of Mathematics and Scientific Computing
8010 Graz
Austria
Postdoctoral Researcher (m/f/d)
Application deadline: 28.09.2026
Salary Category: B1 with PhD
Salary per Year (Full Time): € 70,200.20
Employment Start: As soon as possible
Hours per week: 40 h/w
Duration of Contract: Temporary employment
Temporary Employment: 1 Year
Your Responsibilities
Independent research and publication activities in the field of „mathematics of machine learning”
Participation in ongoing research projects as well as the development of new research initiatives in the fields of mathematics of machine learning, optimal transport, classification algorithms, and their applications in biology and medicine
Independent teaching of courses and administration of examinations for the study programs offered by the institute.
Academic and organizational support for students of the institute.
Your Profile
Completed doctoral or Ph.D. studies in a mathematical discipline (or in related fields 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
Ability to integrate into the department’s research profile and to contribute to interdisciplinary cooperation projects
Independent working style in research, teaching and administration
Excellent knowledge of written and spoken English
Capacity for teamwork, organizational talent and ability to communicate
Application Documents The following documents are required for an application:
Letter of motivation and academic CV (including a list of publications)
Specific letter of recommendation
We Offer
Meaning: We offer meaningful work for the world of tomorrow.
Our internal continuing education program is as colorful as the university itself.
Collaboration: With us, you'll find interdisciplinary, cross-professional opportunities to work together.
Benefits: Of course, there are all the usual benefits, from A "access to healthcare services" to Z "Zero emission goal".
Diversity: Besides our various scientific fields and their related issues, we offer a working environment in which diversity and inclusion are lived.
Flexibility: We demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and career.
About us At the University of Graz, 4700 employees work together on future questions and solutions for the world of tomorrow. Our students and researchers take on the major challenges of society and share their knowledge. We work for tomorrow. Be part of it!
Machine learning and optimal transport is one of the research areas at the Department of Mathematics and Scientific Computing, which is represented in Graz by a dedicated team of international scientists. The associated research group covers a broad spectrum of current applications with a special focus on interdisciplinarity. It offers a friendly working environment, space for creativity and independent work, an appreciative attitude and family friendliness.
Institute Website The University of Graz strives to increase the proportion of women in particular in management and faculty positions and therefore encourages qualified women to apply. In the event of underrepresentation, women with equal qualifications are generally given priority for admission. We welcome applications from persons with disabilities who meet the requirements of the advertised position.
Please note that in order to comply with the applicable data protection regulations, we can only accept applications via our web-based applicant tool for this vacant position.
We work for tomorrow. Join us!
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Austria / University Graz: University Assistant with doctorate Arbeitgeber: MathHire.org
ETH Zürich bietet eine herausragende Arbeitsumgebung für Professoren der Künstlichen Intelligenz und ihrer mathematischen sowie rechnerischen Grundlagen in Heilbronn, Deutschland. Die Institution fördert eine dynamische und interdisziplinäre Kultur, die auf Zusammenarbeit und Innovation ausgerichtet ist, und bietet zahlreiche Möglichkeiten zur beruflichen Weiterentwicklung sowie zur Mitgestaltung eines zukunftsorientierten Campus. Durch enge Verbindungen zur Industrie und Gesellschaft können Mitarbeiter aktiv an bedeutenden Projekten mitwirken und einen nachhaltigen Einfluss auf die digitale Zukunft ausüben.
