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13 PhD Positions in Applied Statistics at Univ. of Goettingen, Germany

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The Centre for Statistics at the Georg-August-Universität Göttingen is currently inviting applications for

13 PhD Positions (75 % E 13 TV-L; 3 years) in Statistics and their Fields of Application

within the Research Training Group (RTG 1644) on "Scaling Problems in Statistics" funded by the German Science Foundation (DFG).

The highly interdisciplinary Research Training Group aims at the solution of current questions in the areas of agricultural economics, genetics, ecology, econometrics and remote sensing by means of statistical methods, and at the development of the latter. It distinguishes itself through a structured graduation program, joint supervision, and a study program consisting of methodologically oriented lectures and interdisciplinary research seminars.

The Research Training Group involves the Institutes for
Mathematical Stochastics (Schlather, Sturm),
Agricultural Economics and Rural Development (Brümmer, von Cramon-Taubadel),
Agroecology (Scherber, Tscharntke),
Animal Breeding and Genetics (Simianer),
Ecosystem Modelling (Meyer, Wiegand),
Forest Inventory and Remote Sensing (Kleinn),
Genetic Epidemiology (Bickeböller),
Statistics and Econometrics (Sperlich),
and the Courant Research Centre on Poverty, Equity and Growth in Developing Countries (Krivobokova).
For details on project subjects see Reseach.

Successful applicants hold a master degree in Mathematics, Statistics, Economy, Ecological Sciences, Genetics, Animal Breeding, Forestry, or a related field with a high interest in statistical methodologies and interdisciplinary work.

The University of Göttingen actively seeks to foster career opportunities for female scholars and therefore strongly encourages qualified women to apply. Candidates with disabilities who are equally qualified for the position will receive special consideration.

Applications can be uploaded online by June 30th, 2010. The interviews are intended to take place on July 12th and 13th, 2010.

For more information please contact Prof. Martin Schlather (schlather@math.uni-goettingen.d ).

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