Doctoral Researcher in election data (SDC-35)
GESIS – Leibniz-Institut für Sozialwissenschaften
<br><strong> </strong><p><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;">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.</span><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><br> <br>Starting on <strong>January 1, 2027,</strong> our Department <strong>Survey Data Curation</strong>, Team <strong>Survey Data Augmentation,</strong> located in <strong>Cologne</strong>, is looking for a<br> <br><strong>Doctoral Researcher in election data</strong><br><strong>(Salary group 13 TV-L, working time 75 %, limited to 3 years)</strong><br> <br></span><p style="line-height:115%;"><span style="line-height:115%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;">The department “</span><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><a href="https://www.gesis.org/en/institute/departments/survey-data-curation"><strong><span style="line-height:115%;color:rgb(0,112,192);">Survey Data Curation</span></strong></a></span><span style="line-height:115%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;">“ processes and prepares social science research data across a diverse range of data types to support sociological and political science research, especially in comparative perspectives across space and time. The curated data include long-running national (e.g., ALLBUS, GLES) and international (e.g., ISSP, CSES) survey programs, which are documented and curated to the highest quality standards, but also research data products derived from or connected to these surveys, such as geo referencing services or trend files. Electoral Spaces is a project of our team Survey Data Augmentation that develops a research data infrastructure for making geocoded electoral data more findable, accessible, interoperable, and re-usable.</span></p></p><br><strong>Your tasks will be:</strong><p><ul><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Identifying election data with sub-national resolution for ingestion into Electoral Spaces</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Developing and documenting the data ingestion procedure of the Electoral Spaces-infrastructure</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Testing Electoral Spaces' framework, data model, and technical platform for compatibility with existing election data</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Supporting the development of data quality tools</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Conducting methodological or applied research showcasing the added value of the infrastructure</span></li></ul></p><br><strong>Your profile:</strong><p><ul><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;"><span style="line-height:150%;">Master’s degree in political science or a related discipline</span></span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Strong interest in geocoded electoral data, data collection, harmonization, and management</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Training in quantitative empirical methods for the social sciences, including good skills in the statistical software R</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Motivation to complete a PhD thesis closely aligned with the project</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Excellent English language skills</span></li></ul></p><br><strong>Our Benefits:</strong><p><ul style="margin-top:0cm;"><li style="color:#000000;line-height:150%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;">Opportunity to contribute to a research data infrastructure with substantial impact on the future of democracy research</li><li style="color:#000000;line-height:150%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">Work in an integrated yet flexible team of quantitative social scientists with substantial synergies between survey augmentation projects specializing in geospatial data applications and democracy</span></li><li style="color:#000000;line-height:150%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;">Flexible working hours and regulations for mobile working</li><li style="color:#000000;line-height:150%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">Very good conditions for reconciling work and family life, e.g. subsidies for childcare for children who have not yet attained the age of compulsory schooling</span></li><li style="color:#000000;line-height:150%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">Holistic company health management and discounted participation in the university's sports programme </span></li><li style="color:#000000;line-height:150%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">Generous support for your pension provision as a direct insurance policy</span></li><li style="color:#000000;line-height:150%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">Promotion of your skills through further training measures</span></li></ul></p><br><strong>Contact</strong><p><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;">For further information concerning the tasks </span><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;">please contact Lea Kaftan via E-Mail (</span><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><a ---------- style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;">). If you have questions about the application process, please contact Christine Laßmann via E-Mail (</span><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><a ---------- style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;">).</span></p><br><strong>Interested?</strong><p><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;">Please apply by submitting a motivation letter, a CV, and a writing sample via our online-application portal </span><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;">until<strong> October 2, 2026</strong>.</span><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><br></span><span style="font-family:Tahoma, Geneva, sans-serif;"><span style="font-size:15px;">Our reference number is: </span><strong><span style="font-size:15px;">SDC-35</span></strong></span></p><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>