PostDoc positions: remote sensing of cotton

PostDoc positions: remote sensing of cotton

Postdoctoral Research Associate (TV-L E13)

Remote Sensing based Assessment of Cotton Production in Pakistan

 

The Department of Remote Sensing, University of Würzburg, is looking for a self‐motivated and team‐oriented fulltime (100%) Post-Doc research associate, starting from March 2017 until February 2020. The successful candidate will conduct her/his work in the context of the international project InoCottonGrow (Innovation to Reduce the Water Footprint of the Global Cotton Textile Industry towards the SDGs of the UN) funded by the German Federal Ministry for Education and Research (BMBF). Focus is set on remote sensing of water use efficiency and productivity of cotton production to support the assessment of the water footprint of cotton. The methods will be developed in Pakistan and transferred to Turkey. In case of mutual interest of the department and the successful candidate, a further career at the department is possible. The call is conditional on the decision of project funding.

Our department:

The Department of Remote Sensing is based within an institutional cooperation with the German Aerospace Center (DLR), especially with the German Remote Sensing Data Center (DFD). The research of the department focuses on the development and application of remote sensing methods in the core fields of “sustainable land management”, “ecosystem functioning, and biodiversity” as well as “applied environmental modelling and forest inventory”. We are an ambitious team of young scientists at PhD and Post Doc level. We offer to work in a strong international network with numerous organizations in research and practice, particularly in Central and South Asia and West Africa. To gain teaching experience we offer to contribute to our international MSc study programme in remote sensing and GIS (www.eagle-science.org) and to our international MSc study programme Global Change Ecology at the University of Bayreuth.

Requested fields of research and main tasks:

  • Remote sensing and GIS analysis for environmental modelling of biophysical variables (evapotranspiration and biomass/crop yield) as well as crop mapping,

  • Specification and implementation of indicators for cotton production assessment,

  • Work effectively as a researcher as part of a multi-disciplinary national research team, to undertake independent scientific investigations and carry out/delegate associated tasks,
  • Communication and active design of implementation in cooperation with partners, including short research visits to the partner organizations, field trips, and organization of workshops and team meetings,

  • Support in supervision of PhD, MSc, and BSc students in the context of the project.

 

Expected skills and competences:

  • High-quality doctoral degree (summa / magna cum laude or equivalent) in geography or related fields,

  • A sound knowledge in programming and remote sensing, and good skills in GIS (e.g. QGIS, ArcGIS),

  • International research experience, at the same time a strong orientation towards implementation and willingness to engage in collaboration across scientific disciplines and with project partners in Central Asia and Africa,

  • Well-founded experience in project management and project coordination is advantageous,

  • Successful publication history, particularly in peer reviewed refereed journals,

  • Excellent English skills (both written and spoken),

  • Good ability to represent the research team effectively internally and externally, including at national and international conferences

  • Professional and respectful behaviour and attitude in a collaborative environment.

 

The successful candidate will receive a position for three years (TV-L E13). Please submit your application (in English) and including the reference number 2017/InoCottonGROW) containing a cover letter, motivation letter (2 pages maximum), curriculum vitae with list of publications and project history, copies of diplomas, certificates or references from employers, by E-Mail to Prof. Dr. Christopher Conrad, University of Würzburg: christopher.conrad@uni-wuerzburg.de.

Further information:


Application must be submitted by February 6th 2017. For further information on the Department of Remote Sensing, candidates are encouraged to consult the department’s website http://www.geographie.uni-wuerzburg.de/en/fernerkundung_neu/startseite/.The University of Würzburg 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.

open position: PostDoc of Biophysical Parameters

open position: PostDoc of Biophysical Parameters

 

Postdoctoral Research Associate (TV-L E13)
Remote Sensing of Biophysical Parameters for Agricultural Monitoring

The Department of Remote Sensing, University of Würzburg, is looking for a motivated and team‐oriented fulltime (100%) Post-Doc research associate, starting from March2017 until August 2018.
The announced position is related to the project “Global Agricultural Monitoring. The German contribution”(GLAM.DE), which addresses the development of local, economically viable services in the field of agriculture. Scientific core objective is the development of innovative
methods for agricultural monitoring on the basis of high‐resolution missions (e.g., Sentinel). The project focuses on biomass and crop modelling as well as on monitoring of plant conditions and growth conditions, which are targeted by international activities such as GEOGLAM and Copernicus. Within the project we workclosely with the longstanding calibration and validation sites DEMMIN in Mecklenburg‐Western Pomerania. The partners involved in the project are the German Research Centre for Geosciences (GFZ), the German Aerospace Center (DLR) and green spin GmbH.
In case of mutual interest of the department and the successful candidate, a further career at the department is possible.
Our department:
The Department of Remote Sensing is based within an institutional cooperation with the DLR, especially with the German Remote Sensing Data Center (DFD). The research of the department focuseson remote sensing methods in the core fields of “sustainable land management”, “ecosystem functioning, and biodiversity”as well as“applied environmental modelling and forest inventory”. We are an ambitious team of young scientists at PhD and Post Doc level. We offer to work in a strong international network with numerous organizations in research and practice. To gain teaching experience we offer to contribute to our international MSc study programme in remote sensing and GIS (www.eagle‐science.org) andto our international MSc study programme Global Change Ecology at Bayreuth
University.
Requested fields of research and main tasks:
  • Coordination of the project GLAM.DE
  • communication and active design of implementation in cooperation with partners, including organization of workshops and project meetings,
  • Algorithm development for the derivation of vegetation parameters (biomass, LAI, FPAR, etc.) from optical and SAR remote sensing data,
  • Research on evaluation methods for agricultural satellite products within international activities (GEOGLAM) among others, in intensive cooperation with DEMMIN (http://demminweb.dlr.de/) and with the Joint Experiment for Crop Assessment and Monitoring (JECAM),
  • Work effectively as a researcher as part of a multi‐disciplinary national research team, to undertake independent scientific investigations and carry out/delegate associated tasks, and
  • Support in supervision of PhD, MSc, and BSc students in the context of the project.
Expected skills and competences
  • High‐quality doctoral degree (summa / magna cum laude or equivalent) in geography or related fields,
  • A sound knowledge in programming and remote sensing, experience in the processing of SAR (and optical) data as well as in data mining techniques,
  • Experience in international research, project management and project coordination is advantageous,
  • Successful publication history, particularly in peer reviewed refereed journals,
  • Excellent English skills (both written and spoken),
  • Good ability to represent the research team effectively internally and externally, including at conferences, and
  • Professional and respectful behaviour and attitude in a collaborative environment

 

The successful candidate will receive a position for 1.5years (TV-L E13). Please submit your application (in English or German) and including the reference number 2017/GLAM.DE) containing a cover letter, motivation letter (2 pages maximum), curriculum vitae with list of publications and project history, copies of diplomas, certificates or references from employers, by E-Mail to Prof. Dr. Christopher Conrad,  University of Würzburg: christopher.conrad@uni‐wuerzburg.de.

Further information:

Application must be submitted by February 6th 2017. For further information on the Department of Remote Sensing,candidates are encouraged to consult the department’s website http://www.geographie.uni‐wuerzburg.de/en/fernerkundung_neu/startseite/. The University of Würzburg 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.
new PostDoc Sarah Schoenbrodt-Stitt

new PostDoc Sarah Schoenbrodt-Stitt

dr_sarah_schoenbrodt_stittSarah Schönbrodt-Stitt has joined the Department of Remote Sensing as a new scientific staff member in April 2016. Her focus is mainly on the development of indicators on the land and water use in Central Asia within the Regional Research Network “Water in Central Asia” (CAWa). Further focus lies on the coordination of the scientific work on the webgis-tool WUEMoCA (Water Use Efficiency Monitor in Central Asia) and the contributing partners at the Department of Remote Sensing from Würzburg University, greenspin (Wuerzburg), SIC ICWC (Scientific-Information Center of the Interstate Coordination Water Commission of the Central Asia) and CAREC (Regional Environmental Center for Central Asia). Sarah Schönbrodt-Stitt studied Geography and Geology at the universities of Greifswald and Göttingen. In 2014, she received a Ph.D. in Natural Sciences from the University of Tübingen, Soil Science and Geomorphology work group (with Prof. Dr. Thomas Scholten), for her work on soil erosion and its dynamics in a highly dynamic, terraced environment with focus on the effect of the Three Gorges Dam in China. Since 2012, she was coordinator of the BMBF-funded Sino-German project ‘YANGTZE GEO’ studying the human-induced environmental changes and geo-hazards in the Three Gorges Reservoir area and was deeply involved in the multi-scale investigation methods and techniques from soil science, geology, hydrology, geophysics, remote sensing, and data survey and monitoring that have been applied in the participating subprojects. Her research focused on spatially regionalizing and modeling soil erosion factors and processes, and evaluating the human impact on soil losses.

PostDoc position: land surface dynamics in the Mekong Basin

PostDoc position: land surface dynamics in the Mekong Basin

from January onwards we are looking at the DLR (German Aerospace Center, Munich, Germany) for a PostDoc for our large, cross-disciplinary project dealing with the large Mekong Basin in Southeast Asia. Focus will be the analyses of land surface dynamics in the trans-boundary Mekong Basin; an area 2.5 times the size of Germany, and covering all climate zones from high alpine to sub-tropical / tropical.
Method-wise, time series analyses based on MODIS, Sentinel-3, Landsat, and Sentinel-1/2 will be undertaken.
Several of our colleagues have worked in the region for the past 6-7 years, data and algorithms do partially exist, and a PhD student will also work with the post doctoral researcher.

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Skill set we are looking for:

Remote Sensing background and finished PhD degree with a remote sensing focus

  • Solid experience with time series processing, especially with MODIS or other daily sensors
  • Good programming skills in at least one of the following languages: IDL, or Python, or R
  • Experience with publication (in English) in SCI Journals or higher ranking conference papers
  • Intercultural competence and willingness to travel to the Mekong region twice a year (about 2 weeks each)
  • Team player
  • English as a working language is okay, German language skills not mandatory but a slight advantage
  • First experience with training (basics in GIS or remote sensing) not mandatory, but would be welcome

 

More information on work foci will be given in a personal talk. Interested candidates can email C. Kuenzer – preferably before December 1st.

 

you will be based at DLR-EOC, Munich, the salary will be according to standard PostDocs salaries.

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