FAU Chair for Dynamics, Control, Machine Learning and Numerics - AvH

Join the ERC-CoDeFeL Research project! 🚀 Are you passionate about Mathematics and Machine Learning?  We are looking for talented individuals to participate in our cutting-edge research project ERC-CoDeFeL, led by Prof. Enrique Zuazua Iriondo, in Erlangen-Germany and Bilbao-Basque Country, on the interface between Mathematical Control and Machine Learning. 🔍What we're looking for • Strong background in Applied Mathematics • Experience with Machine Learning foundations and techniques • Enthusiasm for innovative research 📊What you will gain • Collaboration with experts in the field • Contact with the most innovative high-tech companies • Contributing to groundbreaking research • International Networking and growth opportunities Don't miss out on this exciting opportunity! Apply now to be part of the CoDeFeL project team. 👉Apply TODAY! FAU Erlangen-Nürnberg 02 Postdoctoral positions:  https://lnkd.in/drnpZnG5 University of Deusto • PhD position: https://lnkd.in/dbr2QXzn  • Postdoctoral position: https://lnkd.in/dUm67He4 #Research #Mathematics #MachineLearning #CoDeFeL #Innovation #TechCommunity #job #openposition #phd #postdoc

Don't miss it out 🤩 #FAU #FAUMoD #Spring2025 Registration is OPEN 🔛 April 28-30, 2025 (On-site / Online)

Tomorrow #FAUMoDLecture at FAU Erlangen-Nürnberg: 📌 Thu. December 5, 2024 (11:00H Berlin time) On-site | Online 🔹Prof. Weiwei Hu, The University of Georgia "Control Design for Mixing in Incompressible Flows" Zoom link & more: https://go.fau.de/1bcib "Understanding mass transport, fluid mixing, and their asymptotic behaviors via active control of the flow advection leads to fundamental, yet highly challenging problems often found in industrial and engineering applications. (...) In this talk, we focus on control design for enhancing transport and mixing in incompressible flows. We will present some recent progresses as well as some open questions." #FAU #FAUMoD #movingKnowledge #mathematics #mathematik #lecture #hybrid #onsite #online #erlangen #bavaria #germany

TODAY 📢 December 3, 2024 (14:30H Berlin time) #FAUMoDLecture Series at FAU Erlangen-Nürnberg 🚀 On-site / Online 🔹 Prof. Holger Rauhut, Technical University of Munich "The implicit bias phenomenon in deep learning" 🔹Prof. Christian Bär, University of Potsdam "Counterintuitive approximations" Find all details and zoom link: https://go.fau.de/1bceg #FAU #FAUMoD #FAUMoDLecture #movingKnowledge #Erlangen #Bavaria #Germany #hybrid #onsite #online #AI #KI #mathematics #mathematik #deepLearning #DL #CounterintuitiveApprox #bias

What a way to start 🤩 #December2024 at FAU Erlangen-Nürnberg 🚀 Don't miss out (on-site/online) on our #FAUMoDLectureSeries next week —join us at these amazing lectures and speakers line-up 🙌🏻 : 👉🏻Tue. December 3, 2024 -Prof. Holger Rauhut, LMU: The implicit bias phenomenon in deep learning -Prof. Christian Bär, UP: Counterintuitive approximations See more: https://go.fau.de/1bceg 👉🏻Thu. December 5, 2024 -Prof. Weiwei Hu, UGA: Control Design for Mixing in Incompressible Flows See more: https://go.fau.de/1bcib You can find them all at www.mod.fau.eu/events See you soon! 😃 #FAU #FAUMoD #movingKnowledge

NEW! 📢 Thu. December 5, 2024 #FAUMoDLecture: Control Design for Mixing in Incompressible Flows 🔹Prof. Dr. Weiwei Hu, The University of Georgia On-site/Online See more: https://go.fau.de/1bcib #FAU #movingKnowledge #FAUMoD #FAUMoDLecture

📢 Upcoming #FAUMoDLecture Tue. December 3, 2024 📌 14:30H (On-site / Online) A special #FAUMoDLectureSeries edition by 🔹Prof. Holger Rauhut, Technische Universität München (Technical University of Munich) 🔹Prof. Christian Bär, University of Potsdam See more: https://go.fau.de/1bceg #FAU #FAUMoD #movingKnowledge #research #mathematik #mathematics #KI #AI #Science #lecture #hybrid

🤩Join us today! #Nov13 (14:30H Berlin time) On-site 🏡FAU Erlangen-Nürnberg Online: Zoom (link below) Prof. Stephanie Evert 🚀vice spokesperson at our FAU MoD Research Center for Mathematics of Data will delight us with the amazing #FAUMoDLecture: “Measuring productivity and fixedness in lexico-syntactic” https://lnkd.in/dvN_WMRm Don’t miss it out! #FAU #movingKnowledge #FAUMoD

NEW Course 📢 June 30 - July 4, 2025 "Control and Machine Learning" 🔸Prof. Enrique Zuazua Iriondo, FAU Erlangen-Nürnberg 🔸Prof. Martin Lazar, University of Dubrovnik, Croatia EECI-IGSC 2025 (M18 Dubrovnik) Registration is available now! International Graduate School on Control 2025 Venue: Paris-Saclay This course is aimed to introduce some of the fundamental tools in control theory and machine learning and their computational counterparts, showing how they can be combined and employed to address applications efficiently, in an holistic manner, interrogating the know-how in each of these areas. See more: https://lnkd.in/dXekBWWG Outline. • Historical preliminaries • Control of linear finite-dimensional systems • The universal approximation theorem • Control formulation of supervised learning • Simultaeneous controllability of neural differential equations • Width versus depth • Introduction to unsupervised learning • Introduction to federated learning • ML in control of parameter dependent systems • Turnpike, control and ML • Introduction to Physics-Informed Neural Networks (PINNs) • Solving differential equations by PINNs #FAU #movingKnowledge #eeci2025 #course #control #machineLearning #ML

NEW 📚paper out at our #FAUCRIS FAU Erlangen-Nürnberg: "Observer-based data assimilation for barotropic gas transport using distributed measurements" • Jan Giesselmann, Technische Universität Darmstadt • Martin Gugat, FAU Chair for Dynamics, Control, Machine Learning and Numerics - AvH • Teresa Kunkel , Technische Universität Darmstadt 👉🏻See more: https://lnkd.in/dCaRkW8H "We consider a state estimation problem for gas pipeline flow modeled by the one-dimensional barotropic Euler equations. In order to reconstruct the system state, we construct an observer system of Luenberger type based on distributed measurements of one state variable. (...)" #FAU #TUDarmstadt #research #mathematics #energy #networks #gas #DataAssimilation #observerSystems #barotropicFlow #EulerEquations #wellposedness