PhD Researcher in Global Health
vor 3 Wochen
PhD Researcher in Global Health
The Technical University of Munich is seeking a highly motivated PhD researcher to join our team at the Professorship for Global Health. The successful candidate will support the EU-funded research project on "Disentangling and Preventing Economic Violence against Women in India (ECOVI)".
This PhD position is a unique opportunity to contribute to a cutting-edge research project that aims to address economic violence against women in India. The project has three main objectives: to establish the prevalence of different forms of economic IPV, to develop a theory of economic abuse, and to design and test a community-based prevention approach.
As a PhD researcher, you will be responsible for providing input on the randomised controlled trial (RCT) protocol, supporting the conceptualisation and preparation of data collection tools, and assisting with data cleaning and analysis. You will also work towards publishing three first-authored PhD papers using primary data collected as part of the ECOVI project.
Key qualifications include a Master's degree in health sciences, development economics, sociology, psychology, or related fields, strong quantitative methods and statistics skills, and proficiency with Stata or R. Experience with primary data collection, survey design, and experimental research methods is desirable.
We offer a PhD position (75%, 30h/week, pay grade E13 TV-L) with residence in Munich, Germany, and regular travel to India. The position will be limited to three years. TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women.
Responsibilities:
- Providing input on the RCT protocol
- Supporting the conceptualisation and preparation of data collection tools
- Assisting with data cleaning and analysis
- Working towards publishing three first-authored PhD papers
- Deriving policy recommendations from the research and facilitating their dissemination in India and the region
Qualifications:
- Master's degree in health sciences, development economics, sociology, psychology, or related fields
- Strong quantitative methods and statistics skills and proficiency with Stata or R
- Experience with primary data collection, survey design, and experimental research methods desirable
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