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	<title>Upcoming events - FAU DCN-AvH</title>
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	<description>Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship</description>
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	<title>Upcoming events - FAU DCN-AvH</title>
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		<title>Springer Nature &#8211; Celebrating Enrique Zuazua at 65: Control, PDEs and Machine Learning</title>
		<link>https://dcn.nat.fau.eu/events/springer-nature-celebrating-enrique-zuazua-at-65/</link>
        
        
        <pubDate>Sat, 19 Sep 2026 00:00:00 +0200</pubDate>
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>

		<guid isPermaLink="false">https://dcn.nat.fau.eu/?post_type=mec-events&#038;p=33606</guid>

        <description><![CDATA[<img width="1200" height="627" src="https://dcn.nat.fau.eu/wp-content/uploads/FAUDCNAvH_springerNatureLink_EZ65.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" loading="lazy" /> Open for submissions Submission deadline: March 31, 2027 Event: Celebrating Enrique Zuazua at 65: Control, PDEs and Machine Learning Organizer: Springer Nature Link Multiple participating journals &nbsp; Bringing together contributions inspired by the breadth of his scientific work, this collection highlights recent advances in the areas that Professor Enrique Zuazua has helped shape, while reflecting [&hellip;]]]></description>

        
        
        
        <mec:startDate>2026-09-19</mec:startDate>
                <mec:startHour>00:00</mec:startHour>
        
        <mec:endDate>2027-03-31</mec:endDate>
                <mec:endHour>23:55</mec:endHour>
        
        
        
                <mec:category>Conference, EZuazua, Seminar/Talk, Workshop</mec:category>
        
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            <item>
		<title>Postdoctoral Researcher in Applied Mathematics</title>
		<link>https://dcn.nat.fau.eu/events/careers-open-position-postdoc-oct2026/</link>
        
        
        <pubDate>Tue, 06 Oct 2026 23:05:00 +0200</pubDate>
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>

		<guid isPermaLink="false">https://dcn.nat.fau.eu/?post_type=mec-events&#038;p=33724</guid>

        <description><![CDATA[<img width="1200" height="627" src="https://dcn.nat.fau.eu/wp-content/uploads/FAUDCNAvHcareers_postdocAppliedMath_oct2026_img.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" loading="lazy" /> Control, Dynamical Systems and Machine Learning ERC Advanced Grant CoDeFeL Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen, Germany Deadline: Friday, October 30, 2026 The Chair for Dynamics, Control, Machine Learning, and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH), led by Prof. Enrique Zuazua, invites applications for a postdoctoral researcher position in applied mathematics within the ERC Advanced [&hellip;]]]></description>

        
        
        
        <mec:startDate>2026-10-06</mec:startDate>
                <mec:startHour>23:05</mec:startHour>
        
        <mec:endDate>2026-10-30</mec:endDate>
                <mec:endHour>23:55</mec:endHour>
        
                <mec:location>FAU - Faculty of Sciences</mec:location>
        
        
                <mec:category>Job</mec:category>
        
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            <item>
		<title>PhD Thesis defense by A. Alcalde</title>
		<link>https://dcn.nat.fau.eu/events/phd-thesis-defense-by-a-alcalde/</link>
        
        
        <pubDate>Mon, 26 Oct 2026 13:00:00 +0100</pubDate>
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>

		<guid isPermaLink="false">https://dcn.nat.fau.eu/?post_type=mec-events&#038;p=33748</guid>

        <description><![CDATA[<img width="1200" height="627" src="https://dcn.nat.fau.eu/wp-content/uploads/FAUDCNAvH_phDthesisDefense_aAlcalde_26oct2026_img.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" loading="lazy" /> Next Monday October 26, 2026 our team member Albert Alcalde will present his PhD Thesis on: &#8220;A Dynamical Perspective on Transformers, with Applications to Data-Driven Modeling&#8221; Advisors: • Prof. Giovanni Fantuzzi, FAU &#8211; Friedrich Alexander-Universität Erlangen-Nürnberg (Germany) • Prof. Enrique Zuazua, FAU &#8211; Friedrich Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. Transformers form a central class of architectures [&hellip;]]]></description>

        
        
        
        <mec:startDate>2026-10-26</mec:startDate>
                <mec:startHour>13:00</mec:startHour>
        
        <mec:endDate>2026-10-26</mec:endDate>
                <mec:endHour>15:00</mec:endHour>
        
        
        
                <mec:category>EZuazua, PhD, Seminar/Talk</mec:category>
        
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            <item>
		<title>FAU MoD Lecture: Trustworthy AI: Reliable, Explainable, Revisable</title>
		<link>https://dcn.nat.fau.eu/events/fau-mod-lecture-trustworthy-ai-reliable-explainable-revisable/</link>
        
        
        <pubDate>Mon, 16 Nov 2026 11:00:00 +0100</pubDate>
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>

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        <description><![CDATA[<img width="787" height="411" src="https://dcn.nat.fau.eu/wp-content/uploads/FAUMoDLecture_uSchmid_16nov2026_787x411.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" loading="lazy" /> Date: Mon. November 16, 2026 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: Trustworthy AI: Reliable, Explainable, Revisable Speaker: Prof. Dr. Ute Schmid Affiliation: Cognitive Systems Group, University of Bamberg and Bamberg Center of Artificial Intelligence (BaCAI), Germany Abstract. With the [&hellip;]]]></description>

        
        
        
        <mec:startDate>2026-11-16</mec:startDate>
                <mec:startHour>11:00</mec:startHour>
        
        <mec:endDate>2026-11-16</mec:endDate>
                <mec:endHour>12:00</mec:endHour>
        
                <mec:location>FAU On-site / Online</mec:location>
        
        
                <mec:category>FAU MoD Lecture, Seminar/Talk</mec:category>
        
                        	</item>
            <item>
		<title>FAU MoD Lecture: Moving your robotic hand is a matter of time and practice</title>
		<link>https://dcn.nat.fau.eu/events/fau-mod-lecture-moving-your-robotic-hand-is-a-matter-of-time-and-practice/</link>
        
        
        <pubDate>Mon, 23 Nov 2026 11:00:00 +0100</pubDate>
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>

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        <description><![CDATA[<img width="787" height="411" src="https://dcn.nat.fau.eu/wp-content/uploads/FAUMoDLecture_cCastellini_23nov2026_img_787x411.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" loading="lazy" /> Date: Mon. November 23, 2026 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: Moving your robotic hand is a matter of time and practice Speaker: Prof. Dr. Claudio Castellini Affiliation: The Assistive Intelligent Robotics Laboratory. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. Assistive [&hellip;]]]></description>

        
        
        
        <mec:startDate>2026-11-23</mec:startDate>
                <mec:startHour>11:00</mec:startHour>
        
        <mec:endDate>2026-11-23</mec:endDate>
                <mec:endHour>12:00</mec:endHour>
        
                <mec:location>FAU On-site / Online</mec:location>
        
        
                <mec:category>FAU MoD Lecture, Seminar/Talk</mec:category>
        
                        	</item>
            <item>
		<title>FAU MoD Course: Discovery of singularities with physics-informed neural networks</title>
		<link>https://dcn.nat.fau.eu/events/fau-mod-course-discovery-of-singularities-with-physics-informed-neural-networks/</link>
        
        
        <pubDate>Wed, 02 Dec 2026 10:00:00 +0100</pubDate>
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>

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        <description><![CDATA[<img width="787" height="411" src="https://dcn.nat.fau.eu/wp-content/uploads/FAUMoDCourse_gCaoLabora_02_04dec2026_img_787x411.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" loading="lazy" /> Date: Wed. &#8211; Fri. December 02 &#8211; 04, 2026 Event: FAU MoD Course Organizer: FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg FAU MoD Course: Discovery of singularities with physics-informed neural networks Speaker: Prof. Dr. Gonzalo Cao-Labora Affiliation: EPFL, École Polytechnique Fédérale de Lausanne Abstract. The course will be concerned with [&hellip;]]]></description>

        
        
        
        <mec:startDate>2026-12-02</mec:startDate>
                <mec:startHour>10:00</mec:startHour>
        
        <mec:endDate>2026-12-04</mec:endDate>
                <mec:endHour>12:00</mec:endHour>
        
                <mec:location>FAU On-site / Online</mec:location>
        
        
                <mec:category>Course, FAU MoD Course, Seminar/Talk</mec:category>
        
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