ADVERTISEMENT FOR SCHOLARSHIPS
The German Research Foundation (DFG) will fund a Research Training Group (Graduiertenkolleg) on Use of Information Technologies for Precision Crop Protection at the Agricultural Faculty of the Rheinische Friedrich-Wilhelms University of Bonn, Germany, for a third and final period. (english, german)
Doctorate-students will work in an interdisciplinary program covering the fields of Crop Production,
Soil Sciences, Remote Sensing, Geo-Informatics, Herbology, Agricultural Engineering, Photogrammetry,
Plant Pathology and Crop Protection.
Starting in October 2007 the Research Training Group 722 offers
10 Doctorate Scholarshipsfor candidates with above-average grades in relevant fields (agricultural sciences, informatics, geography, engineering, etc.) and not older than 28 years of age.
Furthermore, there will be available
1 Post-doctorate Scholarshipfor a highly qualified scientist age not above 35 years.
In addition to the experimental scientific work which allows for accomplishing a doctorate the Research Training Group includes a complementary study programme. For further information on the projects / topics and the associated study program please visit our homepage and for general information on Research Training Groups.
Applications with current CV, copies of certificates and a letter of motivation / a short outline on the project of the Research Training Group selected are expected up to May 31, 2007 to the spokesman of the Research Training Group, Dr. E.-C. Oerke, Institute of Crop Science and Resource Conservation, Nussallee 9, D-53115 Bonn, Germany, e-mail: firstname.lastname@example.org.
Doctorate Scholarships (funded for a maximum of 36 months)
- Hyperspectral data from remote sensing for the detec-tion and discrimination of pests
- Early detection and discrimination of plant stress by the means of spatial and temporal resolved fluorescence techniques
- Detection of pests by means of image processing and pattern detection
- GeoSensor networks for the registration of micro-clima-te and for disease risk assessment in crops
- Relation between the spatial distribution of soil properties and the incidence of pests
- Spatial heterogeneity and temporal variability in the in-cidence of sugar beet diseases
- Monitoring and evaluation of interactions between ne-matodes and soil-borne fungal diseases in sugar beet
- Using real-time sensors and digital cameras to control and regulate mechanical weed control methods
- Generation of mono-dispers droplets for crop protection applications
- Laser-based weed control
Post-doctorate Scholarship (for a maximum of 24 months