… im Forschungsbereich „Monitoring der Siedlungs- und Freiraumentwicklung“
Unbefristete Stelle am Leibniz-Institut für ökologische Raumentwicklung e.V. (IÖR)
Deadline: 30 June 2020
Georg-August-Universität Göttingen, Fakultät für Geowissenschaften und Geographie, Geographisches Institut, Abt. Kartographie, GIS und Fernerkundung
Deadline: 25.07.2020
Closing date: Tuesday 30th June 2020.
On-line interviews will be held during July 2020 at University of Nottingham and Newcastle University
Contact:
For general CDT and application enquiries email: geospatial.cdt@ncl.ac.uk.
Specific enquiries to or Professor Stuart Marsh (Nottingham: Stuart.Marsh@nottingham.ac.uk) or Professor Jon Mills (Newcastle: jon.mills@newcastle.ac.uk)
Topic: Understanding bumblebee wildflower meadow habitat preferences using multi-scale remote sensing data
Closing date: Monday 4th May 2020
Interview date: Wednesday 3rd June 2020
Venue: Campus: St John’s, Worcester WR2 6AJ, United Kingdom
You can also contact Fleur Visser (f.visser@worc.ac.uk) or Kate Ashbrook (k.ashbrook@worc.ac.uk)
About: A Synthetic Aperture Radar (SAR) specialist for land monitoring: As a researcher you execute and shape applied research in the domain of SAR remote sensing in combination with optical RS data linked to vegetation in the application domains of agriculture and nature. This means that your work will have an emphasis on Remote Sensing-enabled Essential Biodiversity Variables (RS-EBVs) including plant traits such as phenology, biomass, vegetation height and structure, next to monitoring agriculture, crop classifications, crop area estimates, identification farming activities such as mowing, crop yield estimation, and environmental variables (all related to CAP). You will integrate Radar and Optical remote sensing by software engineering (including programming) in applications (e.g. with Sentinel 1 and 2). For this reason you will work closely with other researchers in the field of optical remote sensing, land monitoring, crop yield forecasting, UAVs, big data analysis, and software engineering, within a data driven and quantitative systems approach. You acquire and position your research in a national and international context, in collaboration with colleagues and international partners.
Tasks combine project leadership of smaller to medium-sized projects, project execution (with data, models and remote sensing products), presentation of research results, training, project acquisition together with team mates and customer consultation.
Where: Wageningen Environmental University & Research, The Netherlands
Deadline for application: 28th of February 2020
The project will investigate the use of remote sensing technologies, such as lidar and optical imaging, for forest tree species characterisation and monitoring.
Start date and duration: September 2020, 3.5 years
Application closing date: 10th January 2020
The GeMMe-Georesources and GeoImaging group at the University of Liege, Belgium is looking for a postdoctoral researcher with an excellent track record to apply for a one year postdoc for the project EO-ALLert. EO-ALLert is a 12-month “post-doctoral research project” funded by EIT RawMaterials and Internal Market, Industry, Entrepreneurship and SMEs – DG GROW through the RawMatCop Programme https://eitrawmaterials.eu/eit-rm-academy/rawmatcop/.
The candidate should hold a PhD with experience in multispectral image processing, data fusion techniques, spatio-temporal analysis, and GIS and be available immediately. Experience with radar imaging is a plus.
Interested candidates are invited to send CV and motivation letter to gemme@uliege.be
before 19/09/2019 23:00 – Europe/Brussels
Deadline: Monday 8th July
The PhD on 3D data fusion for complex environments will develop novel approaches to fusion of 3D geospatial data, from traditional airborne photogrammetry but using oblique cameras, to high- and low-altitude unmanned aerial vehicles (UAVs), vehicle-mounted roadside survey vans, and the streams of data from connected and autonomous vehicles, through to indoor mapping technologies. The aim of this project is to explore different requirements for 3D data from different application sectors and use this to drive research into a flexible framework to manage and integrate 3D data from different sources. Ordnance Survey will supply data, use cases and research support. Students will have an opportunity to undertake a placement within Ordnance Survey of between 1 and 3 months, during the PhD, and they will also have the opportunity to attend the Ordnance Survey PhD workshop events.
To apply to Nottingham, select the ‘Apply for a course’ option at the MyNottingham portal and follow the instructions on the University Postgraduate Study page. Please attach a covering letter and CV. In the covering letter, please quote ‘Engineering Surveying and Space Geodesy’ as the reference, mention the CDT and Professor Stuart Marsh, the Nottingham CDT Director. Also state the PhD topic of interest as 3D Data Fusion and describe how your interests and experience relate to the CDT. Attach degree transcripts and certificates and, if English is not your first language, a copy of your English language qualifications.
Position Requirements:
The application package should include:
Email: maryamr.alshehhi@ku.ac.ae
Position Requirements:
The application package should include:
Email: maryamr.alshehhi@ku.ac.ae