Anforderungen auf einen Blick

Master, Diplom or equivalent (Erforderlich)
Numerical mathematics (Erforderlich)
Theory of differential equations (Erforderlich)
Port-Hamiltonian modeling (Erforderlich)
Python (Erforderlich)
German (Erforderlich)
English (Erforderlich)

ErforderlichWünschenswert

Heute

Technische Universität Berlin

Faculty II - Mathematics and Natural Sciences, Institute of Mathematics / Modeling, Simulation, and Optimization of Real Processes

Research Assistant - 0.75 working-time

under the reserve that funds are granted

Your responsibility

Research assistant for the DFG project "Energy-based Modeling and Dissipation-preserving Time Discretization of Dynamical Systems with Inequality Constraints" (a collaboration between TU Berlin and Otto von Guericke University Magdeburg). Energy-based modeling of dynamical systems with inequality constraints. Analysis of solution regularity, index concepts, and jump conditions for dissipative systems. Development, analysis, and implementation of dissipation-preserving time discretization schemes. Presentation of research findings at international scientific conferences and publication in academic journals. Following the assignment at TU Berlin, another 18-month assignment at OvGU Magdeburg is planned.

Your profile

Successfully completed university degree (Master, Diplom or equivalent) in Mathematics or a related field with a strong mathematical focus
Solid theoretical knowledge of numerical mathematics and the theory of differential equations
Solid knowledge of port-Hamiltonian modeling
Very good proficiency in a modern programming language (particularly Python)
Good knowledge of German and/or English required; willingness to acquire the respective missing language skills

How to apply

Please send your application with the reference number and the usual documents only by email (compiled into a single PDF document, max. 5 MB) to Dr. Philipp Schulze ().

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: .