open position on landuse classification

open position on landuse classification

Please see below a full or 50% position for up to 2 years in the WueMoCa project on landuse classification. Due to the fact that german language proficiency is required further details are provided just in german.

 

Stellenausschreibung: Wissenschaftliche(r) Mitarbeiter(in)

Lehrstuhl für Fernerkundung in Kooperation mit dem Deutschen Zentrum für Luft- und Raumfahrt e.V. (DLR)

Institut für Geographie und Geologie, Julius-Maximilians-Universität Würzburg

Am Lehrstuhl für Fernerkundung der Universität Würzburg ist zum 01. Oktober 2017 die Stelle eines/einer wissenschaftlichen Mitarbeiter/-in zu besetzen. Diese Stelle ist auf 2 Jahre befristet (bis Ende 2019). Die Vergütung richtet sich nach dem TV-L. Die Stelle ist auch in Teilzeit besetzbar.

Der/die hochmotivierte, kommunikative und teamorientierte Bewerber/-in, günstigerweise mit einem fachlichen Schwerpunkt im Bereich der Kartierung von Landbedeckung/Landnutzung, wird sehr eng mit dem am Lehrstuhl angesiedelten Arbeitspaket „Online Tool for Monitoring of Land Use and Water Efficiency“ im regionalen Forschungsnetzwerk «Central Asian Water» (CAWa) mit Projektpartnern in Deutschland und Zentralasien arbeiten. In der Funktion eines Projektmanagers wird er/sie einen bedeutenden Beitrag zur Projektplanung und -durchführung und zum Ergebnistransfer leisten. Organisatorische, beratende und wissenschaftliche Aufgaben in einem internationalen Team mit Organisationen in Forschung und Praxis sind Kernelemente der zu besetzenden Stelle. Der/die erfolgreiche Kandidat/-in muss sich mit den Projektinhalten und Prozessen, Zielen, Methoden und Erkenntnissen in der Arbeitsgruppe (Fernerkundung, Web Mapping, Landmanagement in Zentralasien) sowie der übergeordneten Projektstruktur zügig vertraut machen können. Bei entsprechender Eignung und im gegenseitigen Interesse des Lehrstuhls für Fernerkundung und des/der erfolgreichen Kandidaten/-in ist eine weitere Karriere am Lehrstuhl möglich.

Den oder die erfolgreiche Bewerber/-in erwarten abwechslungsreiche Aufgaben wie:

  • Aufgaben im Bereich der Projektkoordination wie Entwurf, Erstellung und Controlling der zeitlichen und inhaltlichen Planung und Meilensteine in der Arbeitsgruppe/im Projektverbund

  • Mitarbeit in der fachlichen Maintenance an WUEMoCA im Bereich Landnutzungsklassifikation

  • Darstellung des Arbeitspaketes AP3 sowie des CAWa-Projekts mit der Präsentation der Projektinhalte und der entwickelten Informationstools (insbesondere WUEMoCA) auf Konferenzen und Workshops,

  • Unterstützung bei der Projektkooperation mit der GIZ und der Deutsch-Kasachischen Universität (DKU) im Bereich der grenzüberschreitenden Wasserwirtschaft in Zentralasien.

  • Budgetplanung und zahlenmäßiges Berichtswesen

  • Erstellung von Berichten sowie Dokumentation von Projektinhalten

  • Betreuung wissenschaftlicher Arbeiten und Abschlussarbeiten, Mitarbeit in der universitären Lehre

  • Vorbereitung von wissenschaftlichen Projektvorschlägen und Durchführung eigener wissenschaftlicher Forschung.

Einstellungsvoraussetzung ist ein erfolgreich abgeschlossenes Studium oder Promotion in der Geographie oder ähnlichen Fächern mit einem Schwerpunkt in der geographischen Fernerkundung und Geographischen Informationssystemen und des Qualitätsmanagements (Validierung) sowie der geostatistischen Analyse. Wissen zum Land- und Wassermanagement sowie die Bereitschaft zur Erweiterung des Fachwissens sind erwünscht. Erfahrungen in der internationalen Forschung und in der Projektkoordination sind vorteilhaft. Eine eigenständige, verantwortungsbewusste Arbeitsweise als auch professionelles und respektvolles Verhalten werden vorausgesetzt. Ebenso vorausgesetzt sind ausgezeichnete Englischkenntnisse (in Wort und Schrift). Kenntnisse der russischen Sprache sind von Vorteil. Universitäre Lehrerfahrungen in den einschlägigen Bereichen sind ebenso vorteilhaft.

Die Universität Würzburg strebt eine Erhöhung des Frauenanteils an und fordert daher entsprechend qualifizierte Frauen ausdrücklich zur Bewerbung auf. Schwerbehinderte Bewerber/-innen werden bei ansonsten im Wesentlichen gleicher Eignung bevorzugt eingestellt. Ihre aussagekräftige Bewerbung mit den üblichen Unterlagen richten Sie bitte per E-Mail bis spätestens 15.08.2017 an:

Prof. Dr. Christopher Conrad (christopher.conrad@uni-wuerzburg.de) über das Sekretariat des Lehrstuhls für Fernerkundung in Person Frau Christine Linge (christine.linge@uni-wuerzburg.de) Institut für Geographie und Geologie / Universität Würzburg / Oswald-Külpe-Weg 86 (Campus Hubland Nord) / D-97074 Würzburg; Tel: +49-931-31-88266

PhD position: Climatic impacts on phenology of grassland and crops – APPLICATION CLOSED

PhD position: Climatic impacts on phenology of grassland and crops – APPLICATION CLOSED

Tunilogo-1024x449he MICMoR Research School on Mechanisms and Interactions of Climate Change in Mountain Regions is an interdisciplinary and international graduate program providing high quality training for doctoral students in the field of climate change research. Its research focus is to understand climate change processes in mountain regions through research at the interfaces of the atmosphere, biosphere, pedo- and hydrosphere. MICMoR is funded by the Helmholtz Association and hosted by KIT’s Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU) in Garmisch-Partenkirchen, Germany. MICMoR Partners are the Universities of Munich (LMU and TUM), Augsburg, Bayreuth and Würzburg, as well as the German Aerospace Center in Oberpfaffenhofen and the Helmholtz Center Munich.

MICMoR Research School invites applications for

3 Full Fellowships for Doctoral Students

from highly motivated and enthusiastic students with a keen interest in interdisciplinary MICMoR-related research and with an excellent degree (Master or Diploma) in a climate change discipline, such as physics, meteorology, geography, biology, environmental sciences or related areas.

Successful candidates are expected to work on one of the 3 following doctoral projects, with the supervisors listed, and affiliated to KIT/IMK-IFU, the University of Würzburg or TUM Munich:

  1. Analysis of meso- and microscale hydrometeorological fluxes in TERENO preAlpine using WRF-LES (Harald Kunstmann, KIT/IMK-IFU & University of Augsburg, harald.kunstmann@kit.edu
  2. Climatic impacts on phenology of grassland and crops along a transect through altitudinal zones using remote sensing (Christopher Conrad, University of Würzburg, christopher.conrad@uni-wuerzburg.de)
  3. Emission of allergenic grass pollen from TERENO preAlpine observatory sites (Annette Menzel, TUM Munich, amenzel@wzw.tum.de

For more detailed descriptions of the doctoral projects see http://www.micmor.kit.edu/application-2015-project-description.

Fellowships will start in fall or winter 2015 and be awarded for up to 3 years. Fellows will receive a tax-free monthly fellowship of 1.365 EUR plus health insurance allowance and a family allowance if applicable.

Applicants please contact one of the above scientists to state your interest in one of the 3 topics with brief information on your academic background. Suitable candidates will receive more detailed information on the application process and guidelines. The deadline for applications is August 15, 2015.

MICMoR Research School is committed to diversity and equal opportunities. It explicitly welcomes applications from abroad and encourages women to apply.

For further information on MICMoR, its research and training program, its partners and the Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU) please visit our homepage or contact us: info@micmor.kit.edu.

PhD position: forest structure (application closed)

PhD position: forest structure (application closed)

PhD: Monitoring the structural parameters of forest habitats by multi-source/multi-temporal remote sensing data

 

The Department of Remote Sensing at the institute of Geography and Geology invites applications for a PhD position starting from May, 20th 2015 for a period of 3 years. The successful candidate will conduct her/his PhD with a multidisciplinary focus on remote sensing and spatial statistics.

 

Project Description:

The structure of a natural forest landscape is characterized through elements such as the amount of foliage, canopy cover of woody plant species, structural properties of vegetation (i.e. diameter, basal area, vegetation height, aboveground biomass and amount of woody debris). Many of these (and other) factors related to the dynamics of a natural forest ecosystem (e.g. landscape structure, growing stock of forest stands, amount of coarse dead woody material and the vertical distribution of landscape elements) can presumably interact with natural disturbance agents such as biological infestations. Landscape structure can be assessed using remote sensing in a spatially and temporally continuous way. This project is part of a bigger framework on early detec-tion strategies for forest natural disturbance agents. In this part of the project, the derivations from various possible remote sensing sources (airborne and terrestrial LiDAR, UAV and possibly RADAR interferometry data) will be used to form a multi-temporal set of 3D information, which will further be applied to model the actual as well as changes in structural properties of selected natural forest habitats. The results will be validated by airborne- and field-based measurements on selected local test sites.phd_structure

The methodology embraces a wide range from airborne-and spaceborne analysis of remote sensing products to statistical simulation of spatiotemporal processes. Therefore, the work additionally entails the use of ad-vanced spatial statistics. For gathering the required reference and validation data, a number of field trips are foreseen to the study site. A possible expansion of the results to further test sites in central Europe is also possible. The results of the work should be summarized in in scientific manuscripts intended for peer review presentation and publication.

 

Requirements:

― M.Sc. or Diploma degree or equivalent in geoinformatics, ecology (or forestry), physical geography or related fields,

― Sufficient knowledge and strong interest in remote sensing and spatial statistics,

― Advanced modelling/programming skills (preferably with R),

― Fluency in English. Knowledge of German language will be a great advantage.

― Interest in team integration and good teamwork skills.

 

The successful candidate will receive a PhD position for 24 + 12 months (TV-L E13/50%). Please submit your application (in English) containing a letter of interest, the CV, and – as one document – a detailed resume, a relevant recent research product (e.g. published article), and names and contact information of two academic references by E-Mail to:

 

Contact:

Dr. Hooman Latifi, University of Würzburg
E-Mail: hooman.latifi@uni-wuerzburg.de

 

Further information:

Application is opened until April 19th 2015. The University of Wuerzburg is an equal opportunity employer that tries to increase the number of women in research and teaching. Applicants with disabilities but otherwise equal qualifications will be preferred.

 

PhD position on animal movement and remote sensing (application closed)

PhD position on animal movement and remote sensing (application closed)

The Department of Remote Sensing at the University of Wuerzburg, Germany, seeks to appoint a PhD student with strong interest or background knowledge of remote sensing, spatial modelling and biodiversity. The context for this position is the on going modification and variation of our environment and its impact on animal movement.

We are seeking a person capable of developing spatially explicit models to predict the effects of environmental variation and urban growth on animal movement patterns in Central Europe. Significant data for calibration will be available. The successful candidate will conduct her/his PhD in the project “Opt4Environment” funded by the Federal Ministry for Economic Affairs and Energy (BMWi).

 

#### application closed ####

lynx_earth-observation_org_Wegmann_webpage

You will analyse environmental variables based or related to latest animal tracking and remote sensing tech-nology (Sentinel, TerraSAR-X, Tandem-X, Movebank.org data) that allow a better understanding of the interac-tion of vegetated and urbanized areas to assess the effects of both on animal movement patterns at appropri-ate scales. This will be coupled with ecological knowledge on impacts of vegetation variation and urban areas. Recent and current environmental impacts on movement, and new understandings of environmental dynamics with respect to animals, will inform your models. Vegetation and urban mapping within Central Europe is currently available at different scales but is increasing quickly in spatial and temporal resolution owing to new remote-sensing techniques. As data accuracy improves we will incorporate the best available information allowing us to continually improve the understanding of species-environment interaction model accuracy.

To be successful in this position you will have:

• a MSc in a relevant field (geography, biology, global change ecology, remote sensing)
• ability and interest to undertake independent research
• a strong interest and preferably also background in remote sensing, GIS or spatial modelling with re-cent experience in analysis and interpretation of complex data sets at a range of spatial scales
• demonstrated communication skills
• good skills or interest to learn the programming language R
• high interest to publish and present the outcome of this study
• high interest in interdisciplinary work

 

The successful candidate will receive a PhD position for 36 months (TV-L E13/2, 50% of a PostDoc salary). Please submit your application (in English) containing – as one document – a letter of interest, CV and names and contact information of two academic references by e-mail before December 15th 2014 – APPLICATION CLOSED

 

Contact:

This position will be embedded in an interdisciplinary collaboration with the German Aerospace Center and the Max-Planck-Institute in Radolfzell. Regular travels to these collaborating institutes are scheduled.

 

  • Dr. Martin Wegmann, University of Würzburg
  • Dr. Thomas Esch, DLR
  • Dr. Kamran Safi, MPI

 

Further information:

The University of Wuerzburg is an equal opportunity employer that tries to increase the number of women in research and teaching. Applicants with disabilities but otherwise equal qualifications will be preferred.

 

PhD position on land use modelling (application closed)

PhD position on land use modelling (application closed)

LAVACCA_ProjectThe Department of Remote Sensing invited applications for a PhD position starting from January, 1st 2015 for a period of 3 years. The successful candidate will conduct her/his PhD in the project “Assessing Land Value Changes and Developing a Discussion-Support-Tool for Improved Land Use Planning in the Irrigated Lowlands of Central Asia” funded by the Volkswagen Foundation. Focus will be on analysis of spatial and socio economic drivers of land use change in the downstream regions in Central Asia (Uzbekistan and Kazakhstan).

LaVaCCA Project Description:

Immense losses of land productivity have been observed on eight million hectares of irrigated agricultural land in Central Asia (CA) during the past decades. Especially the irrigated lowlands of the Amu Darya and Syr Darya Rivers are affected by land degradation (LD) problems. One major shortcoming in the attempt to combat LD is the generally lack of spatially explicit data, especially after the breakdown of the Soviet Union. The proposed research addresses the identification of hotspots of decreasing land production (e.g. crop yield) and gaining knowledge about the drivers of change in land production and LD by analysing socio-economic and ecological indicators. A strong methodological focus is set on remote sensing, geographical information systems (GIS), indicator systems, and land use modelling. The generated information will be bundled in cooperation with the project partners and presented as a tool of discussion support for politicians and decision makers in their efforts to increase food security and combat environmental degradation in the irrigated areas of CA.

Further information:

Application is already closed!