Archive POSITION OFFER

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

25
Apr
- TO -
17
May

Data & Web Services Engineer, Geospatial Applications

The Geospatial Applications group is seeking a talented, reliable data and web services developer to join a small but growing team developing software and tools to work with Earth observation data from satellites. You will be a key member of data visualisation team within a wider group in the development of web-based technologies used by clients including major national and international commercial companies and organisations, as well as the UK Space Agency, European Space Agency, Science and Technology Facilities Council, and UK Government departments.

 

• Work closely with internal and external users and customers to determine requirements and technical needs for the software that you and the team develop;

• Ensure that the code base is developed in a modular, clearly defined and well documented manner that adheres to the coding standards and meets customer expectations;

15
Apr
- TO -
19
Jun

Equipment Manager of the NERC Field Spectroscopy Facility

We seek applicants with knowledge in a relevant field (environmental science, spectroscopy), understanding of spectroscopy and spectroscopic measurement techniques and with experience maintaining scientific equipment. You will work closely with the Facility Director, the Facility Operations Manager, members of the Facility Science Steering Committee, and the UK National Centre for Earth Observation. There is strong potential for developing more links to spectroscopic research over time, with career development.

This full-time, fixed term post is until 31st March 2024 and is available immediately. There is a potential for extension.

Salary: £33,199 – £36,609 per annum.

Closing date for applications is 19 June 2019 at 5pm (GMT).

11
Apr
- TO -
19
May

PhD student in high latitude climate-fire-carbon feedbacks

The project is one of 30 PhD positions focusing on climate research, still available and to be found on the NESSC website (Netherlands Earth System Science Centre). NESSC is a so-called Gravitation Programme, funded by the Dutch Ministry of Education, Culture and Science (OCW). The programme is co-funded with a Grant that has been awarded from the European Union’s Horizon 2020 research and innovation programme: the Marie S.Curie COFUND programme, grant agreement No 847504. For this reason a minimum of 13 of the PhD positions are subject to EU eligibility criteria, to be selected when all applications have been received.

 

  • Candidates did not reside or carry out their main activity (e.g. reside, work, studies) in the Netherlands for more than 12 months during the 3 years immediately prior to the date of appointment (time spent as part of a procedure for obtaining refugee status under the Geneva Convention, compulsory national service and/or short stays such as holidays are not taken into account)*.
  • Candidates hold an MSc degree (or will graduate before the appointment date) in Mathematics, Physics, Chemistry, Ecology, Earth Sciences and/or Environmental Sciences.
  • Candidates are in the first four years of their research careers at the start of their NESSC COFUND appointment (full-time equivalent research experience, measured from the date when a researcher obtained the degree entitling him or her to embark on a doctorate) and have not been awarded a doctoral degree.
  • Excellent proficiency of the English language (both oral and written).
  • The ability to work both independently in challenging environments and in a multidisciplinary team. Excellent communication skills and cooperation skills are required.
  • An inquisitive mind-set, accuracy, creativity and self-reliance are very important. You are required to be flexible, mobile and pro-active.
  • Enthusiasm to attend the full training programme as offered in the project and to actively contribute to the project aims and objectives.
  • High interest in receiving training from supervisors from different institutes, disciplines and sectors, this will require regular travelling within the Netherlands.
  • High motivation to contribute to the dissemination of results and outreach to both specialists and the public at large.
  • Enthusiasm to visit a Partner Organisation for a secondment (internship), in or outside the Netherlands, as this is part of the programme. Additional research visits to international institutes for research collaborations are expected.
  • Strong motivation to obtain a PhD degree.
09
Apr
- TO -
20
May

Doctoral Researchre in the project: Validation, Uncertainty Analysis, and Long-term Improvement of Global Land-use Data

  • The German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
  • 65% of a full-time employment
  • Fixed term of three years, pending final approval of funding
  • Planned salary: E13 TV-L
  • Application deadline: 20 May 2019
09
Apr
- TO -
20
May

Postdoctoral Researcher in the project: Addressing Multiple Uncertainties in Spatiotemporal Statistical Modelling of Global Land-use Dynamics

  • The German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
  • Full-time employment
  • Fixed term of three years, pending final approval of funding
  • Planned salary: E13 TV-L
  • Application deadline: 20 May 2019
03
Apr
- TO -
30
Apr

9 fully funded 4-year PhDs at Newcastle University and University of Nottingham

In year 1 students will receive joint training in spatial data capture, management, analysis, statistics, modelling and visualisation, along with the new computing technology and methods that are transforming the use of geospatial data. In years 2 to 4 students will undertake their PhD research project and a range of CDT-wide cohort-based activities and  Industry-informed training on Responsible Research and Innovation (RRI).

 

Deadline: 30th April 2019.

19
Mar
- TO -
19
Mar

Doctoral Student (Licentiate) in Remote Sensing & Deep Learning

Third-cycle subject: Geoinformatics

The candidate for the licentiate position is expected to participate in a research project entitled “Sentinel-1 SAR and Sentinel-2 MSI Data for Urban Change Detection with Deep Learning’ under the supervision of the project manager.

The overall objective of this research is to develop innovative and robust methods and algorithms that use multitemporal Earth observation (EO) data in general, Sentinel-1 SAR and Sentinel-2 MSI data in particular, for urbanization monitoring in support of sustainable urban development.

The tasks and responsibilities include algorithm development, image processing, classification and change detection, writing reports, scientific articles and licentiate thesis.

Target degree: Licentiate

Deadline: 31st March 2019, 11:59