Internships

Browse all posts in the Internships category.

3 total

30NOV 2025
Internships
Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability
Master Thesis: “Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability” Author: Greshma Shaji Supervisors: Ziqi Wang, Prof. Enrique Zuazua, Prof. Frauke Liers Date: November, 2025 See all details, master thesis: “Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability”, by Greshma Shaji (November, 2025) Large Language Models (LLMs) […]Master Thesis: “Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability” Author: Greshma Shaji Supervisors: Ziqi Wang, Prof. Enrique Zuazua, Prof. Frauke Liers Date: November, 2025 See all details, master thesis: “Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability”, by Greshma Shaji (November, 2025) Large Language Models (LLMs) […]
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25APR 2023
Internships
Breaking the symmetry with Robin boundary conditions (May 2023)
Breaking the symmetry with Robin boundary conditions Internship at FAU MoD under the “Women in Mathematics of Data” program Date: May 3, 2023 Supervisors: Prof. Enrique Zuazua Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Introduction Establishing symmetry properties of solutions to differential equations is a very important task in mathematical analysis, both from the theoretical point […]Breaking the symmetry with Robin boundary conditions Internship at FAU MoD under the “Women in Mathematics of Data” program Date: May 3, 2023 Supervisors: Prof. Enrique Zuazua Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Introduction Establishing symmetry properties of solutions to differential equations is a very important task in mathematical analysis, both from the theoretical point […]
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13SEP 2022
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Approximating the 1D wave equation using Physics Informed Neural Networks, PINNs (Sep. 2022)
Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs) Internship under the “Women in Mathematics of Data” program Date: September 2022 Supervisors: Prof. Enrique Zuazua Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Code: • See the complete report by Dania Sana Introduction Accurate and fast predictions of numerical solutions are of significant interest […]Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs) Internship under the “Women in Mathematics of Data” program Date: September 2022 Supervisors: Prof. Enrique Zuazua Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Code: • See the complete report by Dania Sana Introduction Accurate and fast predictions of numerical solutions are of significant interest […]
Read more about Approximating the 1D wave equation using Physics Informed Neural Networks, PINNs (Sep. 2022)