Postdoctoral Researcher (m/f/d)

Euraxess; Graz; Vor Ort; EUR 63.000 - 77.000; Vollzeit

Benefits dieser Stelle

Meaningful work

Education program

Interdisciplinary collaboration

Diversity & inclusion

Flexible hours

Zusammenfassung

University of Graz invites applications for a research position in the Department of Mathematics and Scientific Computing, Graz. The role focuses on mathematics of machine learning, with teaching duties and student support.

Applicants should hold a PhD in a mathematical discipline and possess strong knowledge in ML, optimal transport, data science, and related areas. English proficiency and collaborative, independent work are essential.

Qualifikationen

• Completed doctoral studies in a mathematical discipline or related fields.
• Profound knowledge in mathematical methods, analysis and ML topics.
• Independent researcher with ability to teach and administer exams.
• Excellent written and spoken English and teamwork skills.

Aufgaben

• Independent research and publications in mathematics of machine learning.
• Participation in research projects and development of new initiatives in ML math, OT, and biology/medicine.
• Independent teaching of courses and administration of examinations.
• Academic and organizational support for students.

Kenntnisse

Machine learning

Numerical analysis

Optimal transport

Data science

Harmonic analysis

Teamwork

English proficiency

Ausbildung

PhD in Mathematics/Statistics/CS

Jobbeschreibung

Department of Mathematics and Scientific Computing

Organisation/Company University of Graz Department Department of Mathematics and Scientific Computing Research Field Mathematics Researcher Profile Recognised Researcher (R2) Application Deadline 28 Sep 2026 - 23:00 (UTC) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 621 / 2026 / 2068 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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

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.

We offer an annual gross salary of at least € 70,200.20 for a fulltime position. An overpayment based on qualification and experience is possible.

Equality Principle

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.

Application Documents

• Letter of motivation and academic CV (including a list of publications)
• Specific letter of recommendation

Organisational Unit

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.

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!

• 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.

Company/Institute Department of Mathematics and Scientific Computing Country Austria City Graz Postal Code 8010 Street Halbärthgasse 8