BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv7.32.0//EN
X-ORIGINAL-URL:https://dcn.nat.fau.eu/
X-WR-CALNAME:
X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T030000
RRULE:FREQ=YEARLY;BYMONTH=03;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=4SU
END:STANDARD
END:VTIMEZONE
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-5f928e920ac121d34a2aeae8c87953d4@dcn.nat.fau.eu
DTSTART;TZID=Europe/Berlin:20210804T000000
DTEND;TZID=Europe/Berlin:20210915T235500
DTSTAMP:20211020T083033Z
CREATED:20211020
LAST-MODIFIED:20220117
PRIORITY:5
SEQUENCE:0
TRANSP:OPAQUE
SUMMARY:W1 Prof. for Applied Mathematics at FAU -Open Call
DESCRIPTION:The Faculty of Sciences at FAU – Friedrich-Alexander-Universität Erlangen-Nürnberg / University of Erlangen-Nürnberg, is looking for a top early career scientist with an internationally visible research profile in areas involving or related to partial differential equations, numerical and data analysis, stochastic optimisation, control theory or scientific computing and a strong interest in teaching.\nLocation\nWhere: FAU – Department of Data Sciences at FAU. Cauerstr. 11 (03.315), 91058 Erlangen, Germany\nDeadline for applications: September 15th, 2021\nTHIS CALL IS OPEN! \nStarting at: Earliest possible\nPositions available: 01\nSearched Profile\nThe professorship research activities should complement the Chair for Dynamics, Control and Numerics at FAU and the potential of the institution in the broad field of Applied Mathematics. Candidates are expected to have proven their skills in interdisciplinary cooperation and become actively involved in the newly established Erlangen Center for Mathematics of Data (ECMD). The successful candidate will also be expected to teach introductory and advanced lectures in applied mathematics.\nQualification\nSuccessful candidates demonstrate initial academic achievements and the capacity for independent research at the highest international standards. You have substantial research experience abroad and/or 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 also prerequisites. Candidates who are able and willing to teach in both English and German are desired.\nOpportunities\nFAU expects applicants to become actively involved in administering academic affairs and in developing strategic initiatives. FAU pursues a policy of intense student mentoring and therefore expects its teaching staff to be present during lecture periods.\nFAU offers career development, mentoring and an attractive initial research budget. Based on international standards and transparent performance agreements, FAU ensures a comprehensive and fair evaluation process.\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/login.do\n Read this call on MathJobs\n|| More information about this position by email to: nat-dekanat@fau.de ( mailto:nat-dekanat@fau.de )\n
URL:https://dcn.nat.fau.eu/events/w1-prof-for-applied-mathematics-at-fau-open-call/
CATEGORIES:Job
ATTACH;FMTTYPE=image/png:https://dcn.nat.fau.eu/wp-content/uploads/FAU-DDS-openCallW1-agoSep2021.png
END:VEVENT
END:VCALENDAR
