Postdoctoral Research Fellow in Data Management and Analysis
University of Tübingen Faculty of Economics and Social Sciences
Germany

Postdoctoral Research Fellow on Data Management and Analysis (m/f/d; 100%, E 13 TV-L )

Faculty of Economics and Social Sciences, Hector Research Institute of Education Sciences and Psychology

Application deadline : 26.05.2021

The Hector Research Institute of Education Sciences and Psychology is currently inviting applications for the following position:

Postdoctoral Research Fellow on Data Management and Analysis for 3 years (+ possible 2 year extension) (m/f/d; 100%, E 13 TV-L )

We are seeking a motivated postdoctoral research fellow who not only has excellence in research, but also has expertise in data management and analysis. We are especially interested in a researcher who has strong experiences of managing/dealing with large sample social science (especially education) data that are collected longitudinally. 

The position comes with a fixed-term contract for three years with the possibility for extension for additional two years. The expected start date is October 2021 but we are highly flexible and committed to accommodating candidates’ individual circumstances. There is the possibility to participate in the institute's own postdoctoral academy PACE (Tübingen Postdoctoral Academy for Research on Education) which offers further training, coaching, and mentoring at postdoctoral level. 

The position is part of the new Alexander von Humboldt Professorship of Educational Psychology held by Professor Kou Murayama, who has moved to the University of Tübingen to continue his internationally renowned research at the Hector Research Institute. A Humboldt Professorship is the most highly endowed research prize in Germany and enables world class scientists to carry out long-term and ground-breaking research at universities and research institutions in Germany (www.humboldt-professur.de/en). The Hector Research Institute is a nationally and internationally leading research center in education sciences and psychology. Our interdisciplinary team works in a well-equipped building close to the historic old town of Tübingen, Germany. Traditionally, research at the Hector Research Institute investigates determinants of successful teaching and learning pro-cesses using large scale assessments, longitudinal studies, and randomized controlled field trials. Our team will collaborate within the institute continuing these traditions and also supplement them with a diverse array of methodological approaches. More information can be found at www.hib.uni-tuebingen.de.

The successful candidate is expected to (1) create a database of publicly available education-relevant datasets, and (2) manage the data that have been collected within the Hector Research Institute, under the guidance of Professors Kou Murayama, Ulrich Trautwein, and Benjamin Nagengast. The successful candidate is also (3) encouraged to analyze these data based on their own research interests to make publications, and work on methodology-related projects that are on-going within the institute (at least 50% of the time). Teaching is not required but we strongly encour-age postdocs to do some teaching (e.g., one course per semester) as part of our training program for postdocs.

The successful candidate holds an excellent PhD in Data Science, Education, Psychology or a related field (or will have obtained one by the start date of the position) and has visible track record (e.g., publication and third-party funding experience) in the field. A visible commitment to research transparency is a great bonus. The successful candidate will also be given the opportunity to join the LEAD Graduate School & Research Network (www.lead.uni-tuebingen.de) to develop cross-faculty collaborative network of researchers working on research on education. While beneficial, proficiency in German is not necessary for this position. 

For further inquiries about the position, please reach out to Professor Kou Murayama (k.murayamaspam prevention@uni-tuebingen.de).

Applications including a cover letter detailing your (1) expertise and skills on data management and statistical analysis using social science data (with specific programming language(s) that you have used) and (2) your motivation for the position, a CV, contact of two references who can be contacted before interview, and degree and other certificates with transcripts should be sent via email in one single pdf-file to verwaltungspam prevention@hib.uni-tuebingen.de. Initial deadline is May 26, 2021 but we continue to seek candidates until the position is filled by a highly qualified candidate. Disabled candidates will be given preference over other equally qualified applicants. The University seeks to raise the number of women in research and teaching and therefore urges qualified women to apply for these positions. Employment will be officially organized by the central university administration.


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