Archive POSITION OFFER

16
Jun
- TO -
30
Jun

Informatiker/Informatikerin für Geo-Anwendungsentwicklung (m,w,d)

… im Forschungsbereich „Monitoring der Siedlungs- und Freiraumentwicklung“

Unbefristete Stelle am Leibniz-Institut für ökologische Raumentwicklung e.V. (IÖR)

Deadline: 30 June 2020

16
Jun
- TO -
25
Jul

Akademischen Rät*in auf Zeit (A13 NBesO) (w/m/d)

Georg-August-Universität Göttingen, Fakultät für Geowissenschaften und Geographie, Geographisches Institut, Abt. Kartographie, GIS und Fernerkundung

Deadline: 25.07.2020

08
Jun
- TO -
30
Jun

EPSRC Centre for Doctoral Training in Geospatial Systems – 3x 4-year PhD Studentships

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)

09
Mar
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04
May

PhD position – University of Worcester

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)

 

 

 

28
Feb
- TO -
30
Jan

RADAR expert for land monitoring

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

04
Dec
- TO -
10
Jan

PhD on Forest Species Mapping and Monitoring by Multi-modal Remote Sensing

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

06
Sep
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19
Sep

Early-Warning to the Impacts of Alluvial Mining on Sensitive Areas Using Earth Observation (EO-ALLert)

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

21
Jun
- TO -
08
Jul

PhD on 3D Data Fusion of Complex Environments in the EPSRC Centre for Doctoral Training in Geospatial Systems funded by Ordnance Survey

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.

17
Jun
- TO -
31
Aug

Postdoctoral Fellow (Oceanographer)

Position Requirements:

  • Carrying out numerical modelling (both weather and hydrodynamic).
  • Studying the properties of currents, waves, tides and ocean circulation, plus the temperature, density and salt content of oceans.
  • Performing simulations of ocean phenomena using computer or mathematical models.
  • Implementation of hydrodynamic models in real-time operational platforms.
  • Validating modelling software products in the Arabian Seas.
  • Running hydrodynamic modeling software such as such as ROMS, MITgcm, HYCOM on a Linux platform.
  • Writing technical MATLAB and Python scripts.

The application package should include:

  • A cover letter summarizing experience and motivation for this position.
  • Comprehensive Curriculum Vitae.
  • Sample of relevant developed applications/products.
  • A list of 2-3 potential referees

Email: maryamr.alshehhi@ku.ac.ae

17
Jun
- TO -
31
Aug

Post-Doctoral Researcher Position in Ocean Color Remote Sensing

Position Requirements:

  • PhD in remote sensing, oceanography or a related discipline preferably with some postdoctoral experience.
  • Experience in analyzing data from various satellite sensors, e.g., SeaWiFS, MERIS, MODIS, etc.
  • Experience in advanced processing regional ocean color data using SeaDAS, ENVI-IDL, Matlab and/or other data processing software packages.
  • Experience in evaluating and recalibrating ocean color algorithms using in situ measurements.
  • Experience in evaluating aerosol retrievals and developing aerosol retrieval algorithm.
  • Appropriate skills in batch processing large data sets and satellite database management.
  • Hands-on experience in using ESRI software ArcGIS Desktop and ability to integrate imagery with other GIS data.
  • Validating modelling software products in the Arabian Seas.
  • Running modeling software on a Linux platform
  • Writing technical MATLAB and Python scripts.

The application package should include:

  • A cover letter summarizing experience and motivation for this position.
  • Comprehensive Curriculum Vitae.
  • Sample of relevant developed applications/products.
  • A list of 2-3 potential referees

Email: maryamr.alshehhi@ku.ac.ae