Wissenschaftliche*r Mitarbeiter*in für das Institut für Mathem...
Core
Developing a hybrid solver for linear equation systems based on multigrid methods and machine learning techniques to learn optimal smoothers, projections, floating-point formats, accuracy, and cycles.
Role type
Research scientist (numerical mathematics)
Builds
Hybrid solvers for linear equation systems
Domain
Numerical mathematics and machine learning
Deliverable
production ML models
Required skills
Numerical analysis, Machine learning, Python, C++, Academic research, Teaching
Preferred skills
Teaching in engineering mathematics, Multigrid methods
Technologies
Python, C++, Multigrid methods
Responsibilities
Participate in the described research project in numerical mathematics, Conduct independent research and scientific qualification (publications, conference presentations), Contribute to teaching
Seniority
Mid-level researcher (EG 13 TV-L)
