Research Assistant (Doctoral Student) (f/m/d) in Optimization and Scientific Computing Using Lattice Boltzmann Methods

• Development & implementation of efficient and scalable LBM algorithms for complex multi-physics problems, specifically in OpenLB (www.openlb.net)
• Development & application of adjoint-based and data-driven optimization methods
• High-performance computing (HPC) on modern GPU-accelerated architectures
• Scientific collaboration with internal and external partners
• Participation in teaching and supervision of students
• Publication of results at international conferences and in peer-reviewed journals

Persönliche Qualifikation

• Master’s degree (or equivalent) in applied mathematics, scientific computing, or a related field
• Strong background in optimization, numerical methods and scientific computing
• Experience in fluid dynamics, solid mechanics, FSI or LBM is highly advantageous
• Programming skills in C/C++ or similar; experience with parallel computing is a plus
• Curiosity, creativity, and a collaborative mindset
• Very good written and spoken English skills
• basic German skills

Organisationseinheit

Salary

Salary category 13 TV-L, depending on the fulfillment of professional and personal requirements.

Contract duration

limited to 3 years

Application up to

September 30, 2025

Contact person in line-management

For further information, please contact PD Dr. Mathias J. Krause, phone +49 721 608-44191/-42839.