Research Position / Phd Position H2020 Marie Skłodowska-Curie Actions
This outstanding opportunity to receive training in the newly emerging field of Sociogenomics is part of the Marie-Sklodowska-Curie-Actions (MSCA) by the European Union for doctoral education. Under HORIZON EUROPE, a network of 8 Universities is emerging, offering 13 PhD positions to include genetic data in the study of the social sciences. In this network, this project falls under the Research Objective focussing on the questions: How important is the nature-nurture interplay in causally shaping life chances? The project will rely on whole-genome, molecular genetic data and, theoretically driven, will apply data reduction techniques to integrate genetic information into social statistical models. It will furthermore apply big data econometric models.
Objectives: How much of the individual differences in educational attainment in our societies can we explain with our ever-growing data sources – and how? We don’t yet have the answer. Is this a problem you can solve? Recent methodological advances highlight the potential of mixed-linear models in improving explanations including very small effects and higher-order interactions. In contrast to machine learning approaches, these methods have more statistical power and are parametric. In this project, you will apply theory-driven big data econometric models as well as data reduction techniques (Polygenic Scores) to integrate genetic and social information and model their interplay to figure out how (much) educational inequality in our populations is explainable by gene-environment interaction and correlation. With the TwinLife study, we provide a unique, interdisciplinary dataset including molecular genetic and epigenetic data based on a series of saliva samples in a family study – next to details and longitudinal social survey data. You’ll be part of a training network across Europe and be ttraveling for conferences and classes to meet your fellow PhDs and exchange ideas.
Research tasks mainly include:
- scientific editing previous research on social, genetic and epigenetic theory and findings in relation to educational inequality (40 %)
- preparing and analyzing social, genetic and epigenetic indicators predicting educational inequalities (40 %)
- presenting and communicating findings in our network and beyond (10 %)
- field research in a non-academic, interdisciplinary research environment (10 %)
Within the framework of the above-mentioned tasks, the stay is carried out in a non-university, interdisciplinary research environment/time period/location.
Employment is conducive to scientific qualification.
- salary according to Remuneration level 13 TV-L
- befristet (36 months) (§ 2 (1) sentence 1 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases)
- internal and external training opportunities
- variety of health, consulting and prevention services
- reconcilability of family and work
- flexible working hours
- Europe-wide network of excellence to connect with the Top Scholars in the newly emerging field of Sociogenomics as well as in other specific disciplines such as Sociology, Demography, Economics, and Psychology
- job ticket for regional public transport network, good transport connection
- collegial and open and pleasant working atmosphere
- scientific university degree (e. g. Diploma, Master, MRes, MSc ) in a Social Science course of study or Statistics, Psychology, or Genetics
- very good knowledge in the quantitative methodology of empirical social research
- proficient experience with statistical software (preferably R, STATA)
- very good knowledge of the English language, both written and spoken
- cooperative and team-oriented working style
- ability and willingness to cooperate in interdisciplinary projects
- mobility rule: researchers must not have resided or carried out their main activity (work, studies, etc.) in Germany for more than 12 months in the 36 months immediately before their date of recruitment.
We are looking forward to receiving your application in English. Please submit the following documents in one file for full consideration:
Your application should be received via either email (a single PDF document is required) sent to firstname.lastname@example.org or
post (see postal address). Please mark your application with the identification code: Wiss23032. Please note that the possibility of privacy breaches and unauthorized access by third parties cannot be excluded when communicating via unencrypted e-mail. For Information on the processing of personal data click here
application deadline: 12.04.2023