Research Associate in Landscape Ecology
Technische Universität Dresden as a University of Excellence is one of the leading univer-sities in Germany, and is ranked among the 100 most innovative universities worldwide. Its distinguishing feature is a strong focus on research as well as its diversified offer of 129 courses of study in Engineering Sciences, Natural Sciences, Humanities & Social Sciences and Medicine.
It pursues a long-term overall development programme aimed at making TU Dresden an international top university.
Energy, Resources and the Environment (ERE)
Nonlinear Processes in Geosciences (NP)
At the TU Dresden, Faculty of Environmental Sciences, Department of Geosciences, Institute of Geography, the Chair of Computational Landscape Ecology offers, subject to resources being available, a position as
(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). 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 position is part of the interdisciplinary research project BESTMAP – Behavioural, Ecological and Socio-economic Tools for Modelling Agricultural Policy (September 2019 – August 2023, www.bestmap.eu), funded by the EU Research and Innovation programme (Horizon 2020). In BESTMAP, 13 research institutions and companies from seven European countries work closely together to assess the impact of agricultural policy changes on the environment (biodiversity, ecosystem services), climate and socio-economic metrics in Europe using modern modelling approaches.
Tasks: independent research activities aiming at the selection, adaptation, implementation and analysis of appropriate statistical and/or biophysical models to assess the impacts of agri-environmental-climate measures on biodiversity and selected ecosystem functions; close cooperation with international project partners (especially University of Leeds) to transfer the models to different agricultural case study regions in Europe; development of methods to assess and visualise trade-offs and synergies between biodiversity, ecosystem functions and socio-economic characteristics; presentation of the results at international conferences and publication in scientific journals; preparation of and participation in project meetings and workshops; writing of project reports.
Requirements: very good university degree (master’s, diploma; preferably with doctorate) in environmental sciences, landscape ecology, geography or related fields with a focus on ecological or ecosystem modelling; very good knowledge in the analysis of geodata (preferably in R and/or Python); experience and strong interest in inter- and transdisciplinary environmental research; publication record in international journals; above-average organisational and communication skills; a penchant for working closely together with international project partners; fluency in spoken and written English (German language skills are not required, but helpful).
Applications from women are particularly welcome. The same applies to people with disabilities.
Please find the job offer here:
Please submit your detailed application (incl. letter of motivation, curriculum vitae, certificates and your Master/Diploma/PhD thesis) with the reference “Wiss_BESTMAP” 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 email@example.com or by mail to: TU Dresden, Fakultät Umweltwissenschaften, Fachrichtung Geowissenschaften, Institut für Geographie, Professur für Modellbasierte Landschaftsökologie, 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.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis