Postdoctoral Researcher (m/f/d)

University of Graz; Graz; Vor Ort; EUR 63.000 - 77.000; Vollzeit

Benefits dieser Stelle

Meaningful work

Continuing education program

Interdisciplinary collaboration

Healthcare access

Diversity & inclusion

Flexible working time

Zusammenfassung

The University of Graz invites applications for a faculty position in the field of mathematics of machine learning. You will conduct independent research, publish regularly, and teach courses within the Department of Mathematics and Scientific Computing in Graz.

You will contribute to projects in mathematics of machine learning, optimal transport, and data science, collaborating with biology and medicine applications and supporting students.

Qualifikationen

• Must hold a doctoral degree in a mathematical discipline (or related fields such as statistics or computer science).
• Excellent knowledge of written and spoken English.
• Ability to integrate into the department’s research profile and collaborate across projects.

Aufgaben

• Conduct independent research and publish findings in mathematics of machine learning.
• Teach courses and administer examinations for institute programs.
• Support students and contribute to organizational tasks within the department.

Kenntnisse

Independent research

Publications

Teamwork

English language

Ausbildung

Doctoral degree/PhD in mathematics or related field

Jobbeschreibung

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.

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!

Contact

Ass.-Prof. Dr. Caroline Moosmüller I [e-mail]