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.
The application package should include:
The application package should include:
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;
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).
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.
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.
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