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PhD Position in Urbanization Modeling
Veröffentlicht am(vor 285 Tagen)
Bewerbungsende(vor 260 Tagen)
Potsdam Institute for Climate Impact Research (PIK)Potsdam
The Potsdam Institute for Climate Impact Research (PIK) addresses crucial questions in the fields of global change, climate impacts, energy system transformation, and sustainable development. Natural and social scientists work together to generate interdisciplinary insights that provide a sound basis for decision-making in society and policy. PIK's historic science campus on Telegraphenberg Potsdam is in 30 minutes commuting distance from Berlin.
We are looking for a highly motivated PhD student to conduct her/his research in the field of urbanization modeling with the aim of projecting urban land cover and urban population in high resolution on the global scale.
PhD Position in Urbanization Modeling
3-year position, 65 %, TV-L E13 Job Description
Together with another two Leibniz Institutes and a partner in the USA, we aim to model the interplay between migration and urbanization. Therefore, international migration, domestic migration, and urbanization will be modeled and coupled in order to provide projections under climate change scenarios. The project output will be of high relevance for the wider global change community. This PhD position is located in the field of geoecology (or related disciplines) and should gain insights into which factors drive urbanization and how they can be operationalized. The work is carried out within the three-year project IMPETUS which will be funded by Leibniz Association under the cooperative excellence funding scheme.
Conduct your PhD on urbanization modeling of urban land cover and urban population in high resolution on the global scale.
Model development, model calibration, scenario runs, data management and provision.
You hold a Master degree in Geoecology/Geosciences/Geography, Physics, Computer Science, Statistics, or related fields.
You are strong in analytical thinking, you have ease with quantitative work, and are willing to think globally – complementary to a case study perspective.
You hold expertise in programming, experience with software development is valuable.
You hold experience in Geographical Information Systems (GIS) or are willing to learn it.
You have good communications skills and are fluent in oral and written English.
An inspiring, international, and interdisciplinary work environment in one of the world's leading research institutes on climate change.
Cutting-edge science and research excellence.
High-impact of your own research through publications in renowned international journals.
Participation in an interdisciplinary project consortium.
Guidance and supervision during the PhD phase.
The envisaged starting date for the position is March 1st 2018.
The position will be funded for 3 years.
Salaries are according to the German public tariff scheme E13 TV-L, 65 %.
PIK seeks to increase the share of women in scientific positions and therefore explicitly encourage women to apply. In cases of equal qualification and within the given legal scope, women will be given preference. Applications by persons with a migration background, provided they fulfill the conditions for appointment, are expressly encouraged. Applications of disabled persons with equal qualifications will be regarded favorably. PIK is also encouraging applications by parents returning from parental leave within the availability of financial resources.
Application documents should comprise a letter of motivation, a CV, relevant certificates, and a short sample of your work [e.g. term paper, section of the thesis or journal publication (ca. 2-5 pages)]. Interviews will be held from January 15th 2018 onwards.
Closing date for all applications is January 7th 2018.
Please send your documents by email as a single PDF (not more than 15MB) to: email@example.com using the reference subject PhDUrban2018. For any queries regarding the position, please contact Diego Rybski at diego.rybski@pik- potsdam.de.
Erschienen auf academics.de am 13. Dezember 2017
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