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Offer 199 out of 223 from 19/03/24, 13:56

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Tech­ni­sche Uni­ver­sität Ber­lin - Faculty VI - Institute of Sociology - Chair of Methods of Empirical Social Research

Technische Universität Berlin offers an open position:

Research Assistant - 0.6667 working time - salary grade E13 TV-L Berliner Hochschulen

Working field:

Collaboration in the Department of Methods of Empirical Social Research at the Institute of Sociology at TU Berlin, in particular:

  • Teaching the BA compulsory module “Introduction to Social Research 3: Uni‐ and bivariate Statistics” (winter semester 2024/25, 4 course hours per week; approx. 90 students, taught on campus);
  • Teaching a module on either multivariate statistics, computational social sciences, survey methodology, or qualitative methods (2 course hours per week in summer semester 2024, approx. 30 students, taught on campus);
  • Supporting the head of the department in organizational matters relating to teaching (e.g. planning courses, organizing exams); • Instructing tutors;
  • Assumption of administrative tasks in the department and institute within the standard scope of academic self-administration;
  • Writing independent academic texts, e.g. doctoral or Habilitation concept, scientific essay, or project proposal;
  • If the candidate wishes to do so, they may work on projects at the department.

Requirements:

  • Successfully completed university degree (Master, Diplom or equivalent) in sociology or a related study program
  • Knowledge of univariate and bivariate descriptive and inferential statistics, proven by related academic achievements, teaching experience, or publications
  • Interest in teaching basic courses (compulsory courses, 3rd to 6th semesters in bachelor’s programs) on methods of empirical social research
  • Willingness to work in a team, including in-person participation in departmental team meetings, committee meetings, and colloquia at the Institute of Sociology (generally Mondays and Wednesdays during the lecture period)
  • The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills
  • Willingness to write and publish scientific papers in German and/or English

The following criteria are desired, but not required:

  • Doctorate
  • Experience teaching methods of empirical social research
  • Knowledge of multivariant statistics, demonstrated by relevant academic achievements, teaching experience, or publications (e.g. multiple regression analysis, correspondence analysis, cluster analysis, hierarchical linear multilevel modelling (HLM), structural network analysis, scaling methods, longitudinal or panel data analysis methods, spatial analysis methods)
  • Knowledge of survey methodology, demonstrated by relevant academic achievements, teaching experience, or publications
  • Knowledge of computational social sciences
  • Knowledge of the methodology of the social sciences, demonstrated by relevant academic achievements, teaching experience, or publications
  • Knowledge of qualitative social research, demonstrated by relevant academic achievements, teaching experience, or publications
  • Experience working with SPSS, Stata, R, UCINET, Unipark, MAXQDA and Atlas.ti, Citavi or Endnote;
  • Experience supervising final theses (bachelor’s and master’s)
  • Experience organizing teaching (e.g. planning courses, organizing exams);
  • Management experience (e.g. managing student assistants)
  • Interest in the department’s and institute’s main research areas, in particular the Collaborative Research Center “Re-Figuration of Spaces” (SFB 1265) and the “Global Center of Spatial Methods for Urban Sustainability” (GCSMUS)
  • Experience organizing scientific events (e.g. workshops, conference sessions)

How to apply:

Please send your application, stating the reference number, with the usual documents (summarized in a PDF document, max. 5 MB) only by email to Prof. Nina Baur via rim.winker@tu-berlin.de.

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.