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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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UID:MEC-67c12823211b2131c7ff163aeffa93fb@cmc.deusto.eus
DTSTART:20210929T060000Z
DTEND:20211115T215500Z
DTSTAMP:20251031T214200Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:x4 Full Professorships Open Topic in Data Science at FAU
DESCRIPTION:The Department of Data Science (DDS) at FAU Erlangen-Nürnberg invites to the open call for Four Full Professorships Open Topic (W3) in the field of Data Science.\nLocation\nAt the newly founded Department of Data Science within the context of the High-Tech Agenda Bavaria.\nWhere: Department of Data Sciences at Friedrich-Alexander-Universität Erlangen-Nürnberg / University of Erlangen-Nürnberg. Cauerstr. 11 (03.315), 91058 Erlangen, Germany\nDeadline for applications: November 15th, 2021\nTHIS CALL IS OPEN! \nPositions available: 04\nSearched Profile\nThe professorships are full-time and permanent positions by the earliest possible starting date.\nWe seek to appoint leading experts (including early career scientists) with internationally visible research and teachings  profiles in the mathematical aspects of data science, i.e:\n\nstatistical modelling\nmathematical foundations of machine learning\nmodern algorithms for data science\nnumerical analysis\nharmonic analysis\nmathematical analysis of large data sets\nmathematics of edge computing\ninformation geometry\nstatistical manifolds\n\nThe successful candidates’ research activities should complement existing research groups at FAU, particularly in the context of Data Science. The professors will be expected to contribute to the development of the Department. The professors will also be expected to teach students in the new Bachelor’s and Master’s degree programmes in Data Science and participate in other degree programmes offered by the Department of Mathematics and the Department of Data Science, as well as offer academic events for students in other disciplines. The Department of Data Science (DDS) is in its initial phase and offers a dynamic, collaborative structure for research into the fundamentals of data science with agile teams focusing on future-oriented, interdisciplinary research topics.\nSuccessful candidates show an excellent academic track record in research and teaching at the highest international standards. You have substantial research experience abroad and/or international cooperations as well as experience in managing research projects and in raising third-party funding. A university degree and an outstanding doctoral degree as well as a passion for education and pertinent teaching experience are prerequisites. Candidates who are able and willing to teach in both English and German are desired. The positions also require additional postdoctoral qualifications. These should be in the form of a habilitation (postdoctoral thesis) or equivalent academic qualifications. You may also have acquired these necessary qualifications in a non-university context or through a junior faculty position (for example as W1 Professor or Assistant Professor).\nFAU expects applicants to demonstrate academic leadership, engage in early career development and to drive FAU’s strategic agenda. FAU pursues a policy of intense student mentoring and therefore expects its teaching staff to be present during lecture periods.\nFAU offers an outstandingly productive research environment as well as a passionate and multi-disciplinary scholarly community within a vibrant institutional network.\nIn its pursuit of academic excellence, FAU is committed to equality of opportunity and to a proactive and inclusive approach, which supports and encourages all under-represented groups, promotes an inclusive culture and values diversity. FAU is a family-friendly employer and is also responsive to the needs of dual career couples.\nSubmit your application\nhttps://berufungen.fau.de/\nPlease submit your complete application documents (CV, list of publications, list of lectures and courses taught, research and teaching statement, copies of certificates and degrees, list of third-party funding) online at https://berufungen.fau.de ( https://berufungen.fau.de/ )\n|| Questions? More information about this position by email to the Dean of Faculty of Sciences: nat-dekanat@fau.de ( mailto:nat-dekanat@fau.de )\nSee this offer at FAU\n
URL:https://cmc.deusto.eus/events-calendar/x4-full-professorships-open-topic-in-data-science-at-fau/
CATEGORIES:Job
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