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<p class="MsoNormal"><b><span style="color:#1F497D">PostDoc on Machine Learning for Earth Observation data - (2000002S)<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">The Centre for Cultural Heritage Technology (CCHT) of Istituto Italiano di Tecnologia (IIT) in Venice is currently seeking to appoint a PostDoc with a solid background in the field of Artificial Intelligence
(AI) to develop new methods applicable to Earth Observation (EO) in order to detect yet unknown, subsoil Cultural Heritage (CH) sites.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">CCHT focuses on researching and promoting new technologies for recording, documenting, analysing and preserving CH in a broad sense. With its strongly interdisciplinary infrastructure, the Centre combines expertise
from computational and conservation sciences domains, integrating these competencies to foster cutting-edge research.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">The candidate will support CCHT researchers in a project developed in partnership with the European Space Agency (ESA): ‘Cultural Landscapes Scanner (CLS): Earth Observation and automated detection of subsoil
undiscovered cultural heritage sites via AI approaches’, contract number 4000132058/20/NL/MH/ic.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Required qualifications:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• Ph.D. in computer science or a related field with specialization in Machine Learning (ML) or in Remote Sensing (RS);<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• Experience in the development ML methods on EO data (for example, but not limited to, change and anomaly detection on EO time-series; semantic segmentation for land cover mapping, etc.);<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• Experience with numeric and geospatial Python packages Numpy, Scikit-learn, Gdal or similar;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• Good understanding of Geomatics concepts;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• Good communication skills and ability to cooperate;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• Proficiency in English language (written and oral).<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Desirable skills:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• Experience on unsupervised and semi-supervised Deep Neural Networks, such as autoencoders and Graph Neural Networks (GNNs);<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• Experience in handling and manipulating big remote sensing datasets.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">A relevant scientific track record on major ML and/or Remote Sensing conferences/journals (e.g. CVPR, NeurIPS, IGARSS, TPAMI, TGRS, MDPI RS, etc.) is a criterion for the selection.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">The position will require regular travel to partners’ research facilities for periods from one to several weeks, depending on needs.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">The successful candidate will be offered a competitive salary commensurate to experience and skills.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="color:#1F497D">The call will remain open until the position is filled but a first deadline for evaluation of candidates will be November 30<sup>th</sup>, 2021.<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="color:#1F497D"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><span style="color:#1F497D">Please send your application using he online form. Your application must include (as separate documents):<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• CV with the publication list;
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• Brief description of research interests and main accomplishments;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">• Names and contacts of 2 referees.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Istituto Italiano di Tecnologia, with its headquarters in Genoa, Italy, is a non-profit institution with the primary goal of creating and disseminating scientific knowledge and strengthening Italy's technological
competitiveness. IIT's research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible application from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">We inform you that the data you provide will be processed for the sole purpose of evaluating professional profiles and selecting them according to the needs of the Fondazione Istituto Italiano di Tecnologia.
Your data will be processed by the Fondazione Istituto Italiano di Tecnologia, based in Genova, Via Morego, 30, as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. We also inform you that,
pursuant to article 15 and following articles of EU Regulation 2016/679 ("General Data Protection Regulation"), you may exercise your rights at any time by contacting the Data Protection Officer (telephone 010 28961 - email: dpo[at]iit.it)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Primary Location<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">VENEZIA<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Job<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Postdoc<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Organization<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Cultural Heritage Technologies<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="color:#1F497D"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="color:#1F497D">Application’s deadline: the call will remain open until the position is filled but a first deadline for evaluation of candidates will be November 30ht, 2021.<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Apply online: <a href="https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2000002S">
https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2000002S</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><img border="0" width="110" height="108" style="width:1.1458in;height:1.125in" id="_x0000_i1025" src="cid:image001.png@01D7C9C2.B40C6AB0"><o:p></o:p></p>
<p class="MsoNormal"><b><span style="font-size:9.0pt;font-family:"Arial",sans-serif">Center for Cultural Heritage Technology@Ca’Foscari<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="IT" style="font-size:9.0pt;font-family:"Arial",sans-serif">VEGA - Parco Scientifico Tecnologico di Venezia<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT" style="font-size:9.0pt;font-family:"Arial",sans-serif">Porta dell’Innovazione<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT" style="font-size:9.0pt;font-family:"Arial",sans-serif">Via della Libertà, 12<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Arial",sans-serif">30175 - Marghera (VE)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Arial",sans-serif">Italy<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Arial",sans-serif">twitter.com/IITalk<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="http://www.facebook.com/IITalk">www.facebook.com/IITalk</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="http://www.iit.it">www.iit.it</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="IT" style="font-size:9.0pt;font-family:"Arial",sans-serif">DONA IL TUO 5X1000
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT" style="font-size:9.0pt;font-family:"Arial",sans-serif">ALL’ISTITUTO ITALIANO DI TECNOLOGIA<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Arial",sans-serif">codice fiscale 97329350587<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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