Postdoctoral Position
vor 2 Monaten
Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field to understand how grazing influences tropical and subtropical grassland productivity and their stability, aiming to detect indicators of early restoration success. This work is conducted in collaboration with partners in Europe, the Argentinean National Research Council (CONICET) and the International Livestock Research Institute (ILRI), based in Kenya and their network of research partners.
**Your tasks**
will be to design and conduct experiments at various scales from laboratory manipulations of animal plant-soil systems including micro and mesocosms under varying environmental conditions, to large field-scale experiments with wild and domestic grazers. These experiments will test hypotheses related to the effects on nutrient cycling of grazers with different body size and grazing habits and duration of grazing under contrasting soil and environmental conditions. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding of functioning of tropical and sub tropical grasslands.
**What we expect from you**
- University degree (M.Sc.) and Ph.D. in Agricultural Science, Biology, Ecology, Environmental Science or a related field.
- Thorough understanding of the processes determing grasslands productivity, nutrient cycling and those leading to grassland soil degradation.
- Experience in conducting experiments (field and laboratory). Experience conducting work overseas (Africa or Latinamerca) is desirable.
- Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab).
- Publication record appropriate to stage of career, with recent first author publications.
- Experience conducting work overseas will be an advantage. - Interest in interdisciplinary approaches.
- Good language (written and spoken English) and presentation skills.
- Ability to work in a team, with effective interpersonal communication skills.
- Willingness to assist with the supervision of BSc, MSc and PhD work
**Our offer**
**Contact**
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