Postdoctoral Researcher: Mathematics of Machine Learning

Mathhire.org; Graz; Presencial; EUR 63.000 - 77.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Meaningful work

Continuing education program

Interdisciplinary collaboration

Healthcare access

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Mathematical research

Machine learning

Analysis

Data science

Teamwork

Educación

PhD in mathematics or related field

Descripción del empleo

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