Two Student Research Assistants (Small)

As part of the Excellence Chair project “Large-Scale Data and Field Research in the Study of Social Networks,” led by Prof. Dr. Mario L. Small and Prof. Dr. Betina Hollstein at the Department of Sociology / SOCIUM, we seek to fill two positions of Master’s student research assistants for up to 37 hours/month for an initial period of 3 months.

As part of the Excellence Chair project “Large-Scale Data and Field Research in the Study of Social Networks,” led by Prof. Dr. Mario L. Small and Prof. Dr. Betina Hollstein at the Department of Sociology / SOCIUM, we seek to fill two positions of Master’s student research assistants for up to 37 hours/month for an initial period of 3 months. The exact hours per month will be determined in consultation with the research assistants to fit their needs and schedule. The duration of the position can be extended. The start of the contract will be as soon as possible (presumably August 1, 2022).

One major promise of “big data” was the ability to understand how social networks emerge,
operate, and shape human behavior on a much larger scale than previously possible. However, as wide-eyed enthusiasm has given way to sober analysis, researchers and the public have become increasingly aware of the limitations of such data. This project will examine the extent to which field-based research (interview and survey research) can help address the limits of computationally intensive analysis of large-scale administrative data.
Focusing on problems such as boundary specification, locality of interaction, algorithmic confounding, and misinterpretation of meaning, we will examine the extent to which bringing field research to bear on the analysis of large-scale administrative data can help improve our
understanding of the relationship between networks and social inequality. Our working group is currently using establishment and mobility data from the U.S. to study
financial decision-making, neighborhood segregation, and more, and we are looking for master's student research assistants with a background in social science research and qualitative methods to support our work.

What you can expect from us:

  • The remuneration corresponds to the usual university rates for student assistants, currently
    12.00 EUR gross per hour.
  • Scientific insights into new, exciting topics.
  • Support and promotion of personal development and during studies.
  • Family-friendly, flexible working hours that are easy to combine with your studies.
  • Interdisciplinary and international environment.

 

Position 1

Main task:

  • Conduct in-depth interviews with business managers and others related to decision-making
    and inequality.

We expect from you:

  • Training and experience in qualitative interview methods and empirical social research.
  • High level of proficiency in English (including demonstrated academic writing skills);
  • proficiency in German is welcome, but not required.
  • Either coursework, training, or other exposure to research in social inequality.
  • A background in the study of social networks is welcome, but not required.
  • Reliability, commitment, and the ability to work in a team.

 

Position 2

Main task:

  • Conduct qualitative validation by cross-referencing, identifying, and flagging inaccurate
    information and sources of error in large-scale establishment data.

We expect from you:

  • Training and experience in data processing and empirical science research.
  • High level of proficiency in English (including demonstrated academic writing skills);
  • proficiency in German is welcome, but not required.
  • Either coursework, training, or other exposure to research in social inequality.
  • A background in the study of social networks is welcome, but not required.
  • Reliability, commitment, and the ability to work in a team.

 

The student assistant supports both the project management and the project staff in all work. Both positions require the ability to communicate clearly and contribute positively to aconstructive, collaborative environment. All work and communication will be conducted in English. Please send a detailed application including a letter of motivation, curriculum vitae, college
and Master’s transcripts, and a writing sample. All the application documents (except the transcripts, if necessary) should be submitted in English. If you currently do not have a writing sample in English, you can provide a short translation of a research paper (at least 3-4
pages) that showcases your research skills. We will be receiving applications in an ongoing basis until the positions are filled, preferably by July 3, 2022. The application materials should be sent via email to Dr. Nikolitsa Grigoropoulou at nikolitsa.grigoropoulou@uni-bremen.de. Please identify the position you are applying for in your application. If you have questions or need further information, please contact us!