Oferta de doctorado o postdoc sobre las relaciones entre biodiversidad y ecosistemas (Alemania)

At TU Dresden, Faculty of Environmental Sciences, Department of Geosciences, Institute of Geography, the Chair of Computational Landscape Ecology offers a position as

Research Associate / PhD student / Postdoc
(Subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

starting as soon as possible. The position is limited to three years. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position aims at obtaining further academic qualification (e.g. PhD / habilitation thesis). Balancing family and career is an important issue. The post is generally suitable for candidates seeking part-time employment. Please tell us in your application.
The Chair of Computational Landscape Ecology investigates the effects of changes in land use and landscape structure on biodiversity, ecosystem functions and services. For this purpose, we combine a wide range of methods such as field studies, ecological and biogeographical modelling, remote sensing, applied (geo)statistics and Machine/Deep Learning. Our research aims at a better understanding and improved modelling of basic relationships between landscape patterns and processes, but is also closely related to applied questions of resource management and nature conservation. We are looking forward to new colleagues who would like to contribute their own ideas and initiatives to research and teaching and who enjoy working in an open-minded, international and creative team.
Tasks: independent pursuit of own research interests on the interrelations between biodiversity and ecosystem functions, especially in agroecosystems; organisation and implementation of field work (mostly in Saxony) and scientific analysis of the results; scientific (further) development of landscape ecological models; cooperation within the TU Dresden as well as with national (especially Helmholtz Centre for Environmental Research - UFZ) and international cooperation partners; presentation of research results at international conferences and publication in scientific journals; teaching in the geographical study programmes of the Faculty of Environmental Sciences, i.e. design and teaching of seminars as well as supervision of student research projects and theses on one’s own research topics.
Requirements: very good university degree (master, diploma); if applicable PhD in landscape ecology, geography, environmental sciences, agroecology, biology, systems science or related fields; very good knowledge of statistical analysis of ecological data, preferably using the programming languages R and/or Python; very good knowledge of landscape ecological modelling, evaluation of model results and scientific documentation of models; experience in and great interest in inter- and transdisciplinary environmental research; fluent English, both spoken and written (German language skills are not required); independent, structured working style, ability to work in a team, and analytical thinking; driving license class B; experience in and willingness to conduct field work.
Applications from women are particularly welcome. The same applies to people with disabilities. Please submit your detailed application (incl. letter of motivation comprising a short description of the planned research project, i.e. PhD or habilitation, curriculum vitae, certificates and your Master/Diploma/PhD thesis) with the reference “Researcher_Modelling” by 14.04.2020 (stamped arrival date of the university central mail service applies), preferably via the TU Dresden SecureMail Portal (https://securemail.tu-dresden.de/) by sending it as a single PDF document to anna.cord@tu-dresden.de or by mail to: TU Dresden, Fakultaet Umweltwissenschaften, Fachrichtung Geowissenschaften, Institut fuer Geographie, Professur fuer Modellbasierte Landschaftsoekologie, Frau Prof. Dr. Anna Cord, Helmholtzstr. 10, 01069 Dresden. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed. The interviews are expected
to take place between 22.04.2020 and 24.04.2020.