The UFZ
The Helmholtz Centre for Environmental Research (UFZ) with its 1,100
employees has gained an excellent reputation as an international competence
centre for environmental sciences. We are part of the largest scientific
organisation in Germany, the Helmholtz association. Our mission: Our research
seeks to find a balance between social development and the long-term
protection of our natural resources.
The job
The Department of Physiological Diversity (PhyDiv
https: // www. ufz.de/index.php?en=34230) is part of the German Centre for
Integrative Biodiversity Research iDiv (https: // www. idiv.de/en), and the
Helmholtz Center for Environmental Research ( UFZhttps: // www. ufz.de
/), in Leipzig Germany. Our research program focuses broadly on testing
and developing ecological theory to explain species coexistence and the
impacts of global change on biodiversity.
Your tasks
The main tasks will be data analysis and writing, but some fieldwork will
be needed
To analyze the effects of nutrient addition on community- and functional
group-level tissue elemental concentrations, ratios and stocks to separate
biomass response from changes in tissue chemistry
To test the hypothesis that variation in biomass response to nutrient
addition depends on tissue and soil stoichiometry, and climate
We offer
Excellent technical facilities which are without parallel
The freedom you need to bridge the difficult gap between basic research
and close to being ready for application
Work in inter-disciplinary, multinational teams and excellent links with
national and international research networks
A vibrant region with a high quality of life and a wide cultural offering
for a balance between family and professional life
Interesting career opportunities and an extensive range of training and
further education courses
Your profile
Desired scientific background: ecological stoichiometry, biogeochemistry,
ecosystem physiology, biogeography, plant biomass production
Skills and experience desired: basic experimental design and statistical
analysis, R programming language, linear mixed effects modelling,
experience with grassland ecology, experience with of large multiple site
data, multiple author collaboration, practical field work
Strong writing skills
English proficiency
Drivers license desirable
