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DTSTART;TZID=Europe/Berlin:20250922T090000
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SUMMARY:PhD Innovation Day
DESCRIPTION:Date: Mon. September 22, 2025\nEvent: PhD Innovation Day\nOrganizer: EELISA (FAU)\nSchedule\n• 09:00– 9:30H: Welcome from the graduate center & Key Note with Dr. Caspar Paetz, CTO of Hydrogenious LOHC Technologies GmbH\n• 09:30 – 10:30H: Lego Serious Play (Business idea or research focus) with Iman Hamadi\n• 10:30 – 11:45H: Discuss & Exchange your Lego models\n• 11:45 – 12:30H: Role Model – Startup talk with Dr. Niklas Duda, Founder of Dulog\n• 12:30 – 13:30H: Lunch\n• 13:30 – 14:00H: Know-how transfer/ patents/ IP with Martin Golze, Patent Manager at FAU\n• 14:00 – 14:45H: Role Model – Startup talk with Dr. Jennifer Adolph, Co-Founder of Step2Sustainability\n• 14:45: – 16:15H: Ideation workshop with Dr. Judit Klein, Head of Startups at ZOLLHOF\n• 16:15: – 17:00H: Networking\nRegistration\nRegistration is free but mandatory.\nApplication deadline: July 25, 2025, EOD\nMax. attendance: 30 people; ~50:50 FAU:EELISA\nRegistration link: https://www.eelisa.fau.de/innovation/fau-pid/\nAudience\nPhD students. This event is for you if:\n• You are doing your doctorate at an EELISA university?\n• Your research topic is too good to go, after your PhD will be finished?\n• It might even be something for a start-up adventure?\n• But you don’t know yet. You need some nudging, some support, feedback and role models?\nWHEN\nMon. September 22, 2025 at 09:00H – 17:00H (Berlin time)\nWHERE\npanOPTIKUM (see map)\nPaul-Gordan-Straße 6\n91052 Erlangen – Röthelheimpark, Germany.\nUseful information\n• Language: English\n• Lunch and soft drinks will be provided, as well as a lot of fun, know-how and great people!\n• Application deadline: July 25, 2025, EOD\n• Depending on applications, we will select up to two participants per EELISA partner on a “first come, first serve”-basis.\n• Please clarify BEFORE your application with your local EELISA-team, whether they can assist you with travel expenses.\nThis event @LinkedIn\nSee more about EELISA at FAU\n\nContact\n• Melanie Viebahn – EELISA project manager @FAU – contact for organisational and technical issues\n• Iman Hamadi – founders support office @FAU\n• David Schkade – EELISA project manager @FAU\nThis event @EELISA – in collaboration with SPUK\nYou might like:\n• FAU MoD Lectures | FAU MoD Courses & workshops\n• Upcoming events\n• JLU/FAU workshop (Erlangen/Jilin): Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025\n• JLU short-course: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by Prof. Dr. Enrique Zuazua\n• FAU MoD Lecture: Exemplary applications of machine learning and optimization in quantum chemistry by Prof. Dr. Andreas Görling\n• FAU MoD Lecture: AI for maths and maths for AI by Dr. François Charton\n• FAU MoD Lecture: Optimization-based control for large-scale and complex systems: When and why does it work? by Prof. Dr. Lars Grüne\n• FAU MoD Lecture: Mathematics of neural stem cells: Linking data and processes by Prof. Dr. Ana Martin-Villalba\n• FAU MoD Lecture: FAU MoD Lecture S. Jin / N. Liu (double session) by Prof. Dr. Shi Jin and Prof. Dr. Nana Liu\n• FAU MoD Lecture: Do you think you understand sex and death? Why predictions about biological processes require more than just intuition by Prof. Dr. Hanna Kokko\n• FAU MoD Lecture: FAU MoD Lecture. Special December 2024 by Prof. Dr. Holger Rauhut and Prof. Dr. Christian Bär\n• FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions by Prof. Dr. Stephanie Evert\n• FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning by Prof. Dr. Paolo Zunino\n• FAU MoD Lecture: Discovering and Communicating Excellence by Prof. Dr. Ute Klammer\n• FAU MoD Lecture: Thoughts on Machine Learning by Prof. Dr. Rupert Klein\n• FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems by Prof. Dr. Sebastian Peitz\n• FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning by Prof. Dr. Martin Burger\n• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat\n• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi\n• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli\n• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function  by Prof. Dr. Alfio Quarteroni\n• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?  by Prof. Dr. George Karniadakis\n• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda\n• FAU MoD Lecture:  Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen\n• FAU MoD Lecture:  Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic\n_\nDon’t miss out our last news and connect with us!\nLinkedIn | Bluesky | Instagram | YouTube | X (Twitter)\n
URL:https://mod.fau.eu/events/eelisa-phd-innovation-day/
ORGANIZER;CN=EELISA:MAILTO:
CATEGORIES:EELISA,Seminar/Talk,Workshop
LOCATION:Erlangen - Bavaria, Germany
ATTACH;FMTTYPE=image/png:https://mod.fau.eu/wp-content/uploads/FAUMoD_EELISA_phDInnovationDay_22sep2025_img.png
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