The University of Göttingen has position openings for
13 Doctoral Researchers in Agricultural / Development Economics
to join the Research Training Group (RTG) 1666 "Transformation of Global Agri-Food Systems" (GlobalFood) funded by the German Research Foundation (DFG).
The positions should be filled by 1 April 2017. The regular working hours will be 65% (currently 25.87 hours per week) with a limited contract of three years to 31 March 2020. The salary is in accordance with the German public service salary scale E13 TVL (65%). These are qualification positions for junior researchers pursuing a PhD degree.
The positions' duties include research on questions related to the "Transformation of Global Agri-Food Systems". The GlobalFood RTG carries out research on restructuring agricultural markets, including the growing role of international food standards, changing consumer preferences, and the rapid expansion of supermarkets. Projects analyze the implications for supply chain governance, international trade flows, market efficiency, ethical consumption, and impacts on rural poverty, food security, and nutrition in developing countries. In terms of methodologies, innovative econometric and experimental economics approaches are used. The research and training activities are carried out in cooperation with the International Food Policy Research Institute (IFPRI) in Washington DC. The positions are based in Göttingen (Germany), but will require international travel for data collection and exchange with collaborators.
Successful candidates will have an outstanding Master degree (or equivalent) in agricultural economics, agribusiness, marketing, development economics, general economics, or a related discipline, strong analytical skills, experience with quantitative research methods, proven interest in topics related to GlobalFood, strong computer skills, and excellent command of the English language. Experience with data collection in an international context will be a plus. As part of our work-life-balance strategy, financial support for childcare costs during travel is possible.
The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life.
Please submit your application electronically until 15 November 2016 via the Online Application Portal. Your electronic documents will be deleted three months after the selection process is finished. Further details about the GlobalFood RTG and the link to the application portal can be found on our website (www.uni-goettingen.de/globalfood).
If you have any questions, please contact Dr. Melanie Grosse (phone:+49(0)551-39-20202, e-mail: email@example.com).
Applications are only possible using the Online Application Portal:
The following 8 pdf documents are required to be uploaded:
Please name the documents in the following way (using your own surname and first name):
You can download the job opening as PDF here: English Version or German Version
***Postdoc position openings***
We currently have no opening for funded Postdoc positions. However, we welcome Postdocs with own scholarships who are interested and qualified to work on topics related to GlobalFood. Note that you should have an outstanding PhD degree in agricultural economics, agribusiness, general economics, or a closely related discipline. If this is the case, you should contact the professor individually and directly with whom you would like to work. We recommend to submit similar documents as required for PhD positions as a single PDF to the professor. You can find the overview online:
***Student research assistant positions***
The RTG 1666 has currently no open positions. However, we welcome spontaneous applications. They should be submitted as a single PDF file in English language and include (i) CV (including information on knowledge of statistical and other software and languages), (ii) transcript of records of previous studies and grade overview of ongoing study program, (iii) motivation letter.