Postdoctoral Researcher: Mathematics of Machine Learning

Mathhire.org

Graz

Vor Ort

EUR 63.000 - 77.000

Vollzeit

Vor 12 Tagen
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Benefits dieser Stelle

Meaningful work
Continuing education program
Interdisciplinary collaboration
Healthcare access

Zusammenfassung

University of Graz seeks a University Assistant with a doctorate for the Department of Mathematics and Scientific Computing in Graz. The position is a Postdoctoral Researcher (m/f/d) with 40 hours per week and a 1-year temporary contract.

The ideal candidate has a PhD in a mathematical discipline and strong knowledge in machine learning methods, optimal transport, and data science. Duties include independent research, teaching, exams administration, and collaboration within interdisciplinary

Qualifikationen

  • Completed doctoral studies in a mathematical discipline.
  • Profound knowledge in mathematical methods, analysis and numerical aspects of machine learning, optimal transport, data science, or related areas.
  • Ability to integrate into interdisciplinary research projects and collaborate across domains.
  • Independent working style in research, teaching and administration.
  • Excellent command of written and spoken English.

Aufgaben

  • Independent research and publication in mathematics of machine learning.
  • Contribute to ongoing research projects and develop new initiatives in the fields of machine learning applications.
  • Teach courses and administer examinations for the institute's study programs.
  • Provide academic and organizational support for students.

Kenntnisse

Mathematical research
Machine learning
Analysis
Data science
Teamwork

Ausbildung

PhD in mathematics or related field

Jobbeschreibung

University of Graz seeks a University Assistant with a doctorate for the Department of Mathematics and Scientific Computing in Graz. The position is a Postdoctoral Researcher (m/f/d) with 40 hours per week and a 1-year temporary contract.

The ideal candidate has a PhD in a mathematical discipline and strong knowledge in machine learning methods, optimal transport, and data science. Duties include independent research, teaching, exams administration, and collaboration within interdisciplinary

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