CPDOC is a major center for teaching and research in the Social Sciences and Contemporary History located in Rio de Janeiro. It is part of Getulio Vargas Foundation (FGV), a prestigious Brazilian research and higher education institution founded in 1944.
CPDOC is also the leading historical research institute in the country and it holds a major collection of personal archives, oral histories and audiovisual sources pertaining to Brazilian contemporary history. The state-of-the-art Casa Acervo securely houses the collections, equipped with modern facilities and robust security measures.
CPDOC offers academic and professional masters and doctoral programs, and its undergraduate program is ranked 1st in the country by the Brazilian Ministry of Education. Long recognized for our commitment to the integration of history and the social sciences, CPDOC has in recent years added new strength in Applied Research, Digital Humanities, and Computational Social Sciences.
About the Position:
The selected fellow will need to start their stay at FGV CPDOC between April and July 2024. The fellowship is awarded by CAPES, part of a national internationalization strategic plan.
We are seeking an accomplished scholar experienced in the fields of Social Sciences or the Humanities, who also has a strong computational and data science background. A Ph.D. or Master's degree earned outside Brazil or a minimum of 1 year of academic experience in a non-Brazilian institution is required. Necessary abilities include openness for interdisciplinary communication and work, excellent coding skills (preferably in Python and R) or strong experience with specific data analysis software (like NVIVO, MAXQDA, QGIS, Gephi, Tableau, among others). An ideal candidate would also have experience handling and analyzing primary historical sources and/or large datasets. Excellent candidates with other specialties or backgrounds related to the Digital Humanities or Computational Social Sciences will also be considered.
The fellow would develop an independent research within the scope of this call, integrating her/his expertise with the ongoing projects at CPDOC. The main goal is to promote the use of computational approaches, quantitative and/or qualitative, in obtaining, processing, analyzing, and disseminating research data relevant to the academic community and society as a whole.
The position involves:
- Developing a data-driven research for future publication in a pre-print or peer-reviewed academic journal;
- Serving as a collaborator/coauthor on research projects, depending on the fellow’s skills and interests;
- Teaching a short methodological course to graduate and undergraduate students, and giving an open lecture on a topic of your preference to the larger academic community at FGV.
What we offer:
- Access to shared office spaces and FGV’s exceptional physical and computational infrastructure.
- The grant consists of six monthly payments of BRL 4,100, financial aid for Housing of BRL 2,200, financial aid for Health insurance of BRL 400, and Economy-class two-way air ticket.
- A constructive and collaborative research environment.
Call in Portuguese and more info available at: https://cpdoc.fgv.br/capes-print/processos-seletivos.
The fellow will be responsible for obtaining the appropriate visa to come to Brazil, when necessary. The visa must be valid for the period of the applicant’s stay in Brazil.
More general info about this call at the Project’s webpage (in Portuguese).
How to Apply:
To apply, please complete the application here, including a CV, a registration form, and an Individual Work Plan that should outline the proposed project's title, introduce its context, delineate objectives in research and teaching, cover research methodologies, present a detailed work schedule, and include references. The format is flexible, and we recommend a length of 5 to 10 pages.
Please send any questions to Head of Research Strategy and Project Manager Dr. Juliana Marques at email@example.com. Applications will be accepted until January 14h, 2024, BRT Time Zone (UTC -3).