The 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:
- Analysis of meso- and microscale hydrometeorological fluxes in TERENO preAlpine using WRF-LES (Harald Kunstmann, KIT/IMK-IFU & University of Augsburg, firstname.lastname@example.org
- Climatic impacts on phenology of grassland and crops along a transect through altitudinal zones using remote sensing (Christopher Conrad, University of Würzburg, email@example.com)
- Emission of allergenic grass pollen from TERENO preAlpine observatory sites (Annette Menzel, TUM Munich, firstname.lastname@example.org
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: email@example.com.
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.
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.
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.
― 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:
Dr. Hooman Latifi, University of Würzburg
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.
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).
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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
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
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.
The 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.
Application is already closed!