Student Research Assistant (Small/Hollstein)As part of the 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 one position of a Master’s student research assistant for approx. 20 hours/month for an initial period of 3 months.
As part of the 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 one position of a Master’s student research assistant for approx. 20 hours/month for an initial period of 3 months. The duration of the position can be extended. The start of the contract will be as soon as possible (presumably February 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.
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
We expect from you:
- Training and experience in quantitative research methods and advanced statistical analysis (e.g. linear regression, logistic regression, data imputation, etc.) OR training and experience in data management and computational social sciences (e.g. data cleaning and preparation, social network analysis, etc.)
- 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 networks.
- A background in the study of social inequality 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. These consist, among other things, performing: advanced social science analysis, cleaning and transforming unstructured, large-scale data, performing various computational analyses, and writing short reports. The position requires the ability to communicate clearly and contribute positively to a constructive, collaborative environment. All work and communication will be conducted in English.
Please send a detailed application including a letter of motivation, curriculum vitae, previous academic achievements, areas of interest, high school and college diploma, college and Master’s transcripts, and a writing sample. All the application documents (except the diplomas) 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)
showcasing your research skills.
The application materials should be sent by December 10, 2021, by email to Dr. Nikolitsa
Grigoropoulou at firstname.lastname@example.org. If you have questions or need
further information, please contact us!