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IPK Gatersleben is a large, internationally recognized centre of plant research that addresses problems of modern biology with an emphasis on crop plants. Our scientific expertise integrates a broad diversity of disciplines to elucidate the mechanisms underlying processes of plant development, metabolism, and interactions with the environment. Our research aims at the generation of fundamental knowledge and the development of genetic and biotechnological tools to spur the knowledge-based use of plant-genetic resources to optimize a variety of crop traits. Frequently, this involves co-operation with various national and international universities as well as public-private partnerships
Salary group up to E13 TV-L
Reference number 67/12/16
The Image Analysis group of the Molecular Genetics department at IPK Gatersleben deals with development of computational methods for derivation of quantitative traits of crop plants from multimodal and multidimensional image data. The images are acquired in high-throughput with multispectral 2D and 3D camera systems of automated plant phenotyping installed at IPK. To quantitatively characterize architectural and physiological features of the spatial-temporal organization of developing plants under varying environmental conditions, sophisticated numerical tools for image preprocessing, structural reconstruction, segmentation, registration, feature extraction and integrative data mining are required.
As a member of the Image Analysis group you will participate in elaboration of theoretical approaches and developing software methods for processing and analysis of multimodal and multidimensional image data from high-throughput plant phenotyping experiments such as time-series of multispectral 2D and 3D images. To derive biologically meaningful traits of developing plants, heterogeneous data modalities need to be consistently assessed, merged and analyzed. The scope of tasks includes search of scientific literature, development of software environment for integration and quantitative analysis of 2D images and 3D geometrical models, communication with internal and external cooperation partners, contributions to scientific meetings and publications. Within IPK, the work is done in close interaction with experimental plant biologists and bioinformaticians.
We are looking for motivated, open-minded Postdocs or PhD students with a degree in informatics, mathematics, physics or similar educational background and previous experience of working on signal/image processing, computer vision, spatial-temporal modeling and/or machine learning applications. Good programming skills in one or more scientific programming languages (i.e., Java, C/C++, Phyton, R, Matlab, shell scripting) are mandatory. Familiarity with software tools and libraries for image processing and analysis (i.e., ImageJ, ITK/VTK, Matlab) and basic biological knowledge is a plus.
The successful candidate will be given an opportunity to work in a state-or-the-art scientific environment on the rapidly growing interdisciplinary field of biological image analysis and quantitative species phenotyping. If you need further information feel free to contact Dr. Evgeny Gladilin, email@example.com.
The IPK is striving to increase the proportion of women in sectors where they are underrepresented, and therefore explicitly encourages applications from qualified women. The IPK was awarded the Hertie Foundation's work and balance certificate ("berufundfamilie") for its family-friendly working conditions. The IPK campus is located in the immediate vicinity of a local day care center and primary school (Grundschule). Gross salary will be E13 TV-L depending on qualification, experience and family situation.
Please send your application (incl. CV, copies of certificates, references and summary of research interest) to Ms. Böhme citing the 67/12/16. Please contact her also for questions regarding the application and selection procedure.
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)
Ms. Hedi Böhme
06466 Seeland OT Gatersleben
+49 (0)39482 5101