{"id":2593,"date":"2012-02-28T00:49:16","date_gmt":"2012-02-28T00:49:16","guid":{"rendered":"http:\/\/africa-and-science.com\/?p=2593"},"modified":"2012-03-07T09:37:54","modified_gmt":"2012-03-07T09:37:54","slug":"two-doctoral-scholarship-in-natural-potentials-of-agricultural-production-germany","status":"publish","type":"post","link":"https:\/\/africa-and-science.com\/?p=2593","title":{"rendered":"Two doctoral Scholarship in Natural Potentials of Agricultural Production (Germany)"},"content":{"rendered":"

\"\"<\/a>IAMO is seeking candidates for two doctoral student positions within the multidisciplinary project\u00a0Economic and natural potentials of agricultural production and carbon trade-offs in Kazakhstan, Ukraine, and Russia (EPIKUR). EPIKUR aims to estimate agricultural production potentials by combing spatially explicit crop growth models, land use allocation models, and farm-level efficiency analyses. EPIKUR is strongly connected to its partners from the study region and to international universities and research institutes. The project contributes to building a strong network for advancing the science and understanding of agricultural potentials in transition economies. All doctoral candidates are expected to complete dissertations of high scientific quality and policy impact.<\/p>\n

Doctoral position 1 and 2: Both doctoral positions aim at assessing the natural potentials of agricultural production across the region. Position 1 focuses on agricultural land resources and position 2 on agricultural productivity. Using spatially explicit modelling both doctoral candidates will assess current production and project future production potentials under scenarios of climate, technological, and farm structural changes in close cooperation with the other EPIKUR scientists.<\/p>\n

The programme starts on\u00a002.05.2012 for a duration of three years. The working language of the programme are\u00a0English and German. Doctoral thesis can be sumitted in English.<\/p>\n

Requirements for Applicant<\/p>\n

Required qualifications and experience for positions 1 and 2:
\n– Outstanding Master\u00b4s degree (or equivalent) in Agricultural Sciences, Geography, Applied Computer Sciences, or related disciplines
\n– Advanced knowledge of statistical methods and experience with geographic information systems and\/or remote sensing
\n– Programming skills (e.g. C++, Java, Python) are an asset
\n– Interest in agricultural development in transition economies
\n– Very good skills in oral and written English, skills in Russian are an additional asset
\n– Ability to work in a multidisciplinary and multicultural environment<\/p>\n

Compulsory Attachments<\/p>\n