Postdoc Position at the University of Innsbruck

EuropeanWomenInMaths; Innsbruck; Vor Ort; EUR 5 000; Vollzeit

Zusammenfassung

An established industry player is seeking a talented Postdoc to join their Numerical Analysis and Scientific Computing group. This exciting role involves conducting research on partial differential equations and collaborating on innovative projects. The successful candidate will have the opportunity to work with cutting-edge technologies in high-performance computing and contribute to significant advancements in the field. If you are passionate about mathematical research and eager to make an impact in a dynamic environment, this position is perfect for you.

Qualifikationen

• PhD in Mathematics or related field with a focus on numerical analysis.
• Strong programming skills, particularly in C++ and HPC technologies.

Aufgaben

• Conduct research in numerics of partial differential equations.
• Collaborate on dynamical low-rank approximation and kinetic equations.

Kenntnisse

Programming Skills

C++

High-Performance Computing

OpenMP

MPI

CUDA

Ausbildung

PhD in Mathematics or related field

Jobbeschreibung

Postdoc Position at the University of Innsbruck

Advertisement for a Postdoc Position at the University of Innsbruck.

I am looking to fill a Postdoc position in the Numerical Analysis and Scientific Computing group (https://www.uibk.ac.at/mathematik/na/) at the University of Innsbruck. The successful applicant will be employed for a duration of three years with the possibility to extend the contract for another three years (the salary is 4352 EUR brutto 14 times a year).

He/she is expected to conduct research in the field of numerics of partial differential equations, complexity reduction, and scientific computing. In particular, I am looking for an applicant willing to work closely with the group on dynamical low-rank approximation and kinetic equations. Good programming skills are necessary for the position, and skills in C++ and high-performance computing technologies (such as OpenMP, MPI, CUDA, …) are welcome.