Wissenschaftliche Mitarbeiterin/ Wissenschaftlicher Mitarbeiter (m/w/d) 157/2026
Core
Developing scalable divide-and-conquer strategies for nonlinear optimization problems in robotic perception and implementing efficient algorithms for scientific computing.
Role type
Research scientist (numerical mathematics & scientific machine learning)
Builds
Scalable algorithms for nonlinear optimization and parallel implementations for robotic perception systems
Domain
Robotics, Scientific Computing, Numerical Mathematics
Deliverable
production ML models | research
Required skills
Numerical optimization, Parallel computing, Scientific machine learning, Computer vision, Robotik
Preferred skills
Nonlinear systems, Sparse matrix methods, Sensor fusion, Real-world scenario evaluation
Technologies
Scientific computing frameworks, Parallel computing environments
Responsibilities
Develop structured and scalable procedures for large-scale sparse nonlinear systems; Analyze domain decomposition and numerical methods; Implement efficient algorithms for scientific computing; Apply scientific machine learning to process noisy and heterogeneous sensor data; Reconstruct work environments and evaluate methods using realistic sensor data; Test procedures in real application scenarios of the HERA project
