Event: Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics Date: Sun.-Fri. August 23 – September 04, 2026 Event type: On-site (Benasque) Registration: https://benasque.org/2026pde/cgi-bin/appl.pl Next Summer, on …
MLPDES26, Machine Learning and PDEs Workshop (2026)
Date: Mon.-Wed. June 22 – 24, 2026 Event: MLPDES26, Machine Learning and PDEs Workshop (2026) Host: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Event …
Workshop: The Mathematics of Scientific Machine Learning and Digital Twins
On November 19-25, 2025, our FAU MoD, Research Center for Mathematics of Data at FAU and the Digital Twin Lab under the CMAI, Center for Mathematics and Artificial Intelligence at …
Mathematical Foundations of Machine Learning (MFML 2026)
Event: MFML 2026, Mathematical Foundations of Machine Learning Date: Thu. May 25 – 29, 2026 Lecture: Machine Learning from an Applied Mathematician’s Perspective Speaker: Prof. Enrique Zuazua, FAU – Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. Machine Learning has emerged as one of the most transformative forces in contemporary science and technology. In this three-lecture series, I will …
JLU Short course: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by E. Zuazua
Event: JLU Short-course Date: Mon.-Tue. July 21-23, 2025 Title: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning Speaker: Prof. Enrique Zuazua. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. Partial Differential Equations (PDEs) form the cornerstone of mathematical modeling in mechanics and the natural sciences, driving advances in analysis, numerical methods, and applied mathematics. Today, the …
Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025
Date: Fri.- Sun. July 25 – 27, 2025 Event: Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025 Title: Recent Trends in Applied Mathematics and Machine Learning 2025 This July, Jilin University will host the Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025, organized in collaboration with our FAU MoD, …
FAU MoD Lecture: Exemplary applications of machine learning and optimization in quantum chemistry
Date: Mon. July 7, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Exemplary applications of machine learning and optimization in quantum chemistry Speaker: Prof. Dr. Andreas Görling Affiliation: FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg Abstract. Two exemplary applications of machine learning and optimization …
Trends in Mathematical and Data Sciences
From June 16 – 20, 2025, our FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg is co-hosting with the Universidade Federal Fluminense the “Trends in Mathematical …
ERC CoDeFeL (April 2025) Postdoc positions in Control and Machine Learning
The “Chair for Dynamics, Control, Machine Learning, and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH)”, led by Prof. Enrique Zuazua, invites applications for two (02) open postdoctoral research positions at the ERC CoDeFeL, Control for Deep and Federated Learning project. DEADLINE: Fri. May 9, 2025 Position Details • Duration: Initially limited to up to …
ERC CoDeFeL (March 2025) PhD positions in Control and Machine Learning
The “Chair for Dynamics, Control, Machine Learning, and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH)”, led by Prof. Enrique Zuazua, invites applications for two (02) PhD research positions at the ERC CoDeFeL, Control for Deep and Federated Learning project. DEADLINE: Wed. March 25, 2025 Position Details • Duration: Initially limited to up to three …