W3 Professorship in Landscape Data Analytics
W3 Professorship in Landscape Data Analytics
Based on a cooperation agreement and in a joint appointment procedure, the Faculty of Agricultural Sciences, Nutritional Sciences and Environmental Management of Justus Liebig University Giessen (JLU) and the Leibniz Centre for Agricultural Landscape Research (ZALF) e. V. in Müncheberg, invite applications for a W3 Professorship in Landscape Data Analytics according to the Jülich model (leave of absence model) as of now.
Duties: You will develop the research area of data science in agricultural landscapes with a special focus on living lab research and contribute to its international visibility. You will assume the co-leadership of the IAT in an interdisciplinary team and drive forward its development, integration, and (international) profiling. Furthermore, you will lead the working group “AI-based quality assurance and analysis of monitoring and experimental data” within the IAT and advance the research in these domains. Your research activities at ZALF and JLU should be embedded within national and international research contexts. At JLU, the professorship contributes to teaching at a rate of two semester hours per week. You will be responsible for teaching courses in the bachelor's and master's degree programs in the Faculty of Agricultural Sciences, Nutritional Sciences and Environmental Management.
Requirements: Applicants must have a university degree, an outstanding doctorate, and excellent additional academic achievements in the field of agricultural data science. Your ability to collaborate across disciplines as well as to develop and refine data science methods is required. Relevant experience in leading scientific working groups and consortia is also required. Success in the independent acquisition of externally funded projects is a further prerequisite. The ability to publish and teach in German and English is mandatory. Relevant teaching experience and experience in supervising theses and doctoral dissertations are also required.
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