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<div class="WordSection1">
<p class="MsoNormal"><span lang="EN-US">* Apologies for any cross-postings *</span><span lang="EN-US" style="mso-fareast-language:DE"><o:p></o:p></span></p>
<p><span lang="EN-US">GESIS – Leibniz Institute for the Social Sciences is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association.<o:p></o:p></span></p>
<p><span lang="EN-US">For the <strong><span style="font-family:"Calibri",sans-serif">next possible date,</span></strong> our Department
<strong><span style="font-family:"Calibri",sans-serif">Knowledge Technologies for the Social Sciences (WTS)</span></strong>, Team
<strong><span style="font-family:"Calibri",sans-serif">FAIR Data and Human Information Interaction</span></strong> located in
<strong><span style="font-family:"Calibri",sans-serif">Cologne</span></strong>, is looking for a<o:p></o:p></span></p>
<p><strong><span lang="EN-US" style="font-size:16.0pt;font-family:"Calibri",sans-serif">Research Associate in the field of Research Data Infrastructures</span></strong><b><span lang="EN-US" style="font-size:16.0pt"><o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-US">(<strong><span style="font-family:"Calibri",sans-serif">Salary group 13 TV-L, working time 75%, limited to September 2025</span></strong>)</span></b><span lang="EN-US"><o:p></o:p></span></p>
<p><span lang="EN-US">The department </span><a href="https://www.gesis.org/en/institute/departments/knowledge-technologies-for-the-social-sciences"><span lang="EN-US">Knowledge Technologies for Social Sciences (WTS)</span></a><span lang="EN-US"> conducts research
at the intersection of information retrieval, knowledge graphs, human information interaction and machine learning as foundation for innovative web portals and platforms for the search and use of research data. WTS innovations are based on a state-of-the-art
software stack and research-based innovations in the aforementioned fields.<br>
<br>
In the context of the consortium </span><a href="https://www.konsortswd.de/en/"><span lang="EN-US">KonsortSWD</span></a><span lang="EN-US"> of the
<strong><span style="font-family:"Calibri",sans-serif">National Research Data Infrastructure (</span></strong></span><a href="https://www.nfdi.de/en-gb"><strong><span lang="EN-US" style="font-family:"Calibri",sans-serif">NFDI</span></strong></a><strong><span lang="EN-US" style="font-family:"Calibri",sans-serif">)</span></strong><span lang="EN-US">
WTS develops innovative services with the goal to improve the reusability and interoperability of research data on the web.<o:p></o:p></span></p>
<h3>Your tasks will be:<o:p></o:p></h3>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span lang="EN-US">Development of sustainable and scalable concepts to improve the reusability and interoperability of research data by persistent identifiers and open APIs for standardized data exchange<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span lang="EN-US">Elicitation of research-related use cases, concept and metadata development, requirements elicitation for technical implementation, technical modeling of services, project-accompanying evaluation of the concepts based on the use cases<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span lang="EN-US">Research on own use case at the interface between data science and social science (e.g. knowledge graphs, data linking)<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span lang="EN-US">End user engagement, dissemination of project results through publications and workshops<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span lang="EN-US">Continuous exchange with relevant communities (NFDI, GO FAIR, RDA, EOSC, CESSDA)<o:p></o:p></span></li></ul>
<h3>Your profile:<o:p></o:p></h3>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
<span lang="EN-US">Good university degree (Master or equivalent) in Computer Science, Information Science, Data Science, or comparable fields<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
<span lang="EN-US">Experience in managing research data; research and publication experience<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
<span lang="EN-US">Good oral and written communication skills in English, knowledge of German desirable<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6">
<span lang="EN-US">Desirable: experience in software development (with Java), knowledge in the areas of research data infrastructures, metadata and web standards, data formats, Open Science / FAIR Data<o:p></o:p></span></li></ul>
<p><span lang="EN-US">For further information and how to apply: <a href="https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/18453/Research-Associate-in-the-field-of-Research-Data-Infrastructures?lang=en-US">
https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/18453/Research-Associate-in-the-field-of-Research-Data-Infrastructures?lang=en-US</a><o:p></o:p></span></p>
<p><b><span lang="EN-US">Application deadline:</span></b><span lang="EN-US"> June 6, 2021<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="mso-fareast-language:DE">Kind regards,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="mso-fareast-language:DE">Peter Mutschke<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="mso-fareast-language:DE">--<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="mso-fareast-language:DE">Deputy Head of department<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="mso-fareast-language:DE">Teamleader<span style="color:black"> FAIR Data and Human Information Interaction<o:p></o:p></span></span></p>
<p class="MsoNormal"><span lang="EN-US" style="mso-fareast-language:DE">Dep. Knowledge Technologies for the Social Sciences
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="mso-fareast-language:DE">GESIS – Leibniz Institute for the Social Sciences
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:DE">Unter Sachsenhausen 6-8<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:DE">D-50667 Köln<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:DE">Tel.: +49(0)221 / 47694 -500<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="mso-fareast-language:DE">Mail: </span>
<span style="mso-fareast-language:DE"><a href="mailto:peter.mutschke@gesis.org"><span lang="EN-US">peter.mutschke@gesis.org</span></a></span><span lang="EN-US" style="mso-fareast-language:DE"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:DE"><a href="http://www.gesis.org/"><span lang="EN-US">www.gesis.org</span></a></span><span lang="EN-US"><o:p></o:p></span></p>
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