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X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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BEGIN:VEVENT
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UID:MEC-1d103fb53db40d37fc4166d697532321@cmc.deusto.eus
DTSTART:20230102T070000Z
DTEND:20230430T225500Z
DTSTAMP:20251031T223200Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:PhD studentship in Data-Driven Modelling and Control (DTNModConFlex)
DESCRIPTION:PhD studentship in Data-Driven Modelling and Control (DTNModConFlex)\nThe Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is looking for two PhD students to collaborate on the MoDConFlex, Marie Skłodowska-Curie Doctoral-Training-Network.\nWhere: FAU DCN-AvH, Department of Data Sciences. Cauerstr. 11, 91058 Erlangen, Germany\nTime limit: 3 years\nFull-time\nStarting at: Earliest possible\nWe invite applications for a 36-month PhD studentship in the context of the Marie Skłodowska-Curie Doctoral-Training-Network (DTN) “ModConFlex”.\nThe network brings together 17 academic and industrial partners across Europe with the goal of developing novel approaches to the modelling and control of flexible structures. This project will create groundbreaking mathematical tools for data-driven modelling and control of partial differential equations, which will be efficient in practice and have rigorous theoretical foundations. It is envisioned that the project will combine ideas from a broad range of disciplines, including machine learning, control theory, PDE analysis, and randomized algorithms.\nSee more details and apply at: https://dcn.nat.fau.eu/jobs/phd-modconflex/ ( https://dcn.nat.fau.eu/jobs/phd-modconflex/ )\n
URL:https://cmc.deusto.eus/events-calendar/phd-studentship-in-data-driven-modelling-and-control-dtnmodconflex/
ORGANIZER;CN=FAU DCN-AvH:MAILTO:
CATEGORIES:Job
LOCATION:DDS, Friedrich-Alexander-Universität Erlangen-Nürnberg
ATTACH;FMTTYPE=image/png:https://cmc.deusto.eus/wp-content/uploads/FAUDCNAvHjobs_PhDMoDConFlex_call2023.png
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