Professorship (W3) - Mobile Sensing
vor 3 Wochen
to be filled at the earliest possible date. Data acquired from mobile sensor platforms has shown tremendous importance in Geodesy, Robotics, Crop Science, and other disciplines. We are seeking a person who can demonstrate relevant, internationally visible scientific work on developing methods for kinematic multi-sensor systems. This may include trajectory estimation, combining laser scanning data, RGB images, hyper- or multi-spectral data, and thermography data, methods for transferring measurements into meaningful features. The new professorship will be part of the Cluster of Excellence EXC 2070 PhenoRob, focusing on crop production. Thus, the development of methods to measure phenotypic traits of plants in the field with high accuracy, high throughput, and meaningful data is mandatory for future work, but it is not a prerequisite for applying for this position. Success in acquiring and implementing third-party-funded projects is a prerequisite. In teaching, the subject area is to be represented in the B.Sc. and M.Sc. degree programs in Geodesy and Geoinformation, as well as in the M.Sc. programs Mobile Robotics, Geodetic Engineering, and Crop Science. The professorship is located at the Institute of Geodesy and Geoinformation (IGG). The conditions of employment are according to §36 Hochschulgesetz NRW. The University of Bonn is committed to diversity and equal opportunity. It is certified as a family-friendly university and has a Dual-Career Service. It aims to increase the proportion of women in areas where women are underrepresented and to particularly facilitate their careers. Therefore, the University of Bonn strongly encourages applications from qualified women. Applications are be handled in accordance with the Landesgleichstellungsgesetz NRW. Applications from qualified individuals with a certified severe disability and from those of equal status are particularly welcome. For further information on this professorship, please contact the chair of the appointments committee, Prof. Dr. Schoof, by email ( dekan@lwf.uni-bonn.de). Applications submitted by 03/01/2025 are guaranteed to be considered. Please apply via our online portal: Geowissenschaften Agrar, Forst Professor, Professorin Lehre & Forschung, Wissenschaft IT, EDV, Telekommunikation Universität Vollzeit
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Professorship (W3) - Mobile Sensing
vor 3 Wochen
Bonn, Deutschland Rheinische Friedrich-Wilhelms-Universität Bonn - Landwirtschaftliche Fakultät Vollzeitto be filled at the earliest possible date. Data acquired from mobile sensor platforms has shown tremendous importance in Geodesy, Robotics, Crop Science, and other disciplines. We are seeking a person who can demonstrate relevant, internationally visible scientific work on developing methods for kinematic multi-sensor systems. This may include trajectory...
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Professorship (W3) - Mobile Sensing
vor 3 Wochen
Bonn, Deutschland Rheinische Friedrich-Wilhelms-Universität Bonn - Landwirtschaftliche Fakultät VollzeitData acquired from mobile sensor platforms has shown tremendous importance in Geodesy, Robotics, Crop Science, and other disciplines. combining laser scanning data, RGB images, hyper- or multi-spectral data, and thermography data, Thus, the development of methods to measure phenotypic traits of plants in the field with high accuracy, high throughput, and...
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Professorship (W3) - Mobile Sensing
vor 3 Wochen
Bonn, Deutschland Rheinische Friedrich-Wilhelms-Universität Bonn - Landwirtschaftliche Fakultät VollzeitData acquired from mobile sensor platforms has shown tremendous importance in Geodesy, Robotics, Crop Science, and other disciplines. This may include trajectory estimation, combining laser scanning data, RGB images, hyper- or multi-spectral data, and thermography data, methods for transferring measurements into meaningful features. Thus, the development of...
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Professorship (W3) - Machine Learning in Agriculture
vor 3 Wochen
Bonn, Deutschland Rheinische Friedrich-Wilhelms-Universität Bonn - Landwirtschaftliche Fakultät Vollzeitto be filled at the earliest possible date. Machine learning is an increasingly important method in science. To exploit the full potential of this general method for agriculture, we are looking for a person who can demonstrate relevant, internationally visible scientific work on developing methods or applications of machine learning. The successful candidate...
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Professorship (W3) - Machine Learning in Agriculture
vor 3 Wochen
Bonn, Deutschland Rheinische Friedrich-Wilhelms-Universität Bonn - Landwirtschaftliche Fakultät VollzeitMachine learning is an increasingly important method in science. To exploit the full potential of this general method for agriculture, we are looking for a person who can demonstrate relevant, internationally visible scientific work on developing methods or applications of machine learning. Thus, the application of machine learning in the field of...