12/10/2020

15 PhD positions available in the theme of Gender Diversity


The European Training Network (ETN) G-VERSITY – Achieving Gender Diversity is an interdisciplinary and intersectoral doctoral training network for early stage researchers. G-VERSITY aims at fostering new kinds of expertise and jobs needed in Europe to help employers overcome the underrepresentation of women, men, and sexual and gender minority Groups (SGMs). The network constitutes a prototype for innovative doctoral training on gender diversity research. G-VERSITY joins 8 leading European research groups from psychology, education, management, business administration, media and communication studies with 7 non-academic partners, including an organization running the leading certification for workplace gender equality, a city administration, a public broadcasting service, a media training centre, and 3 non-profit organisations.

G-VERSITY offers 15 PhD positions for candidates who demonstrate a high motivation to do research on gender diversity and a strong desire to work in a trans-disciplinary research environment. Successful candidates will be hired for 36 months, the positions are available from December 2020 on.

Deadline: 15 November 2020.

Job Positions:

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Background

G-VERSITY will (1) determine how significant background factors affect educational and professional pathways of women, men, and sexual and gender minorities, and (2) produce scientifically based interventions for use in the workplace — including workshops, guidelines, and training materials, to be applied by employers to attain gender diversity. The training consists of collaborative supervision of individual research projects by academic and non-academic partners including mandatory intersectoral secondments to other academic and non-academic partners. The aim is for the PhD students to gather experience in different research sectors and to develop their transferable skills by working on joint research projects. The research training will enable the PhDs to complete publication-based dissertations.