<html><body><div style="color:#000; background-color:#fff; font-family:times new roman, new york, times, serif;font-size:12pt"><h5 class="uiStreamMessage userContentWrapper" data-ft="{"type":1,"tn":"K"}"><font size="3"><span style="font-weight: bold;"><span style="font-weight: normal;"><span class="messageBody" data-ft="{"type":3,"tn":"K"}"><span class="userContent">PhD student position in GIScience <br> <br> The PhD student in the doctoral program Crowdanalyser <span class="text_exposed_show"><br> (<a href="http://crowdanalyser.uni-hd.de/" rel="nofollow nofollow" target="_blank"><span>http://</span><wbr><span class="word_break"></span>crowdanalyser.uni-hd.de/</a>) at Heidelberg University will <br> investigate the challenges, possibilities and limitations of <br> crowdsourcing 3D geoinformation, e.g. extracted indirectly from <br> OpenStreetMap and captured directly as 3D point clouds by
low-cost <br> mobile sensors. <br> <br> The objective of the graduate school granting the scholarship is to <br> develop novel methods towards the quality-oriented analysis and <br> exploration of crowdsourced Web 2.0 data (such as OpenStreetMap, Flickr, <br> Twitter, Social Networks etc.). Crowdanalyser is a joint Research <br> Training Group between the Institute of Computer Science and the <br> Geoinformatics Research Group (<a href="http://giscience.uni-hd.de/" rel="nofollow nofollow" target="_blank">http://giscience.uni-hd.de/</a>), Department <br> of Geography at Heidelberg University, affiliated with the <br> Interdisciplinary Center for Scientific Computing (IWR). The thesis will <br> be supervised by Bernhard Höfle and Alexander Zipf. <br> <br> Scholarships are 1200 Euro per month plus 110 Euro per month for travel <br> and other costs. Further criteria and information on the scholarship is <br> given by the Graduate Academy <br> (<a
href="http://www.graduateacademy.uni-heidelberg.de/" rel="nofollow nofollow" target="_blank"><span>http://</span><wbr><span class="word_break"></span><span>www.graduateacademy.uni-heidelb</span><wbr><span class="word_break"></span>erg.de/</a>) of the Heidelberg University. <br> <br> Requirements <br> - MSc in Computer Science, Geoinformatics, Geography, or related area <br> - Background in one or more of the following areas: volunteered <br> geographic information (VGI), 3D object detection and modeling, 3D point <br> cloud analysis, multi-sensor geodata fusion, 3D web technology (e.g. <br> services and computer graphics) <br> - Demonstrated strong programming experience (preferably in C/C++ and <br> Python) <br> - Excellent English skills (written and oral), Excellent communication & <br> organizational skills <br> <br> Applications shall be directed to Ms. Bettina Knorr <br><span> (bettin...@geog.uni-heidelberg</span><wbr><span
class="word_break"></span>.de, giscience.uni-hd.de) until 30 <br> October 2013 in digital form (one PDF document). The application shall <br> include a detailed CV including grades, technical expertise, two letters <br> of recommendation from former supervisors/professors and list of <br> publications. Furthermore, the application shall include a short <br> motivation statement (one page) addressing the PhD topic “Crowdsourcing <br> of 3D Geoinformation”. <br> <br> The selection of the scholarship holder will be based on quality of the <br> candidates. The Heidelberg University is an equal opportunity employer. <br> In case of equality of qualification and suitability of applicants, the <br> applications made by female researchers will be given preferential <br> consideration. Handicapped applicants will be treated preferentially if <br> equally qualified. The graduate college aims at providing best <br> possibilities for combining research and
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