Research Associate / PhD student / Postdoc Computational Landscape Ecology (“Researcher_DataScience")
Technische Universität Dresden as a University of Excellence is one of the leading universities 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 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 for 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 basically 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 application of Data Science/Artificial Intelligence to questions of landscape ecology and Earth System Sciences; support in the instrumentation of biodiversity monitoring sites by means of acoustic sensors and/or cameras and development of methods for automated data evaluation; collaboration within the TU Dresden as well as with national (esp. 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) and if applicable PhD in Data Science, geoinformatics, environmental engineering or related fields, ideally in combination with a basic education in environmental science or geography; very good knowledge in the field of Machine/Deep Learning (esp. pattern analysis and pattern recognition); good knowledge in the script-based use of computational clusters for scientific computing; a penchant for interdisciplinary and applied 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.
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 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_DataScience” 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 firstname.lastname@example.org 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