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Remote Sensing PhD Projects, Programmes & Scholarships in the UK
We have 11 Remote Sensing PhD Projects, Programmes & Scholarships in the UK
We have 11 Remote Sensing PhD Projects, Programmes & Scholarships in the UK
PhD in Remote Sensing
Remote Sensing is the practice of observing geographical phenomena from afar. It is revolutionising the field of Geography by reducing the need for manual fieldwork and allowing geographers to gather data about dangerous or inaccessible regions.
As a PhD candidate in Remote Sensing, you might focus on collecting and analysing data about a particular region, type of terrain or geographical phenomenon. You could also work on developing or improving remote sensing technologies.
What’s it like to study a PhD in Remote Sensing?
You’ll be assigned a supervisory team that will guide you through the completion of an extended dissertation. Your final thesis should make a significant original contribution to the field.
Possible research areas include:
- Automated crater detection and classification
- Monitoring wildfire emissions
- Carbon capture
- Identifying geohazards
- Semi-autonomous planetary exploration
- Arctic surveillance
- Weather forecasting
Your research might involve using sensors carried by planes, UAVs, satellites or drones. These sensors may have technological capabilities such as Light Detection and Ranging (LIDAR) or Sound Navigation Ranging (Sonar).
Alongside your research, you may be required to attend additional training in fundamental areas such as satellite data and machine learning. You may also have the chance to present at academic conferences and publish your work in journals.
There are a number of advertised projects available in Remote Sensing, but many candidates will design their own project.
PhD in Remote Sensing Systems entry requirements
To apply for a PhD in Remote Sensing, you’ll usually need a good upper-second class Bachelors degree in a relevant subject area. A Masters degree may sometimes be required. It’s worth noting that applications are considered on a case-by-case basis and a postgraduate qualification will often be an advantage even if is not compulsory.
PhD in Remote Sensing funding options
Depending on your specific focus, PhD projects in Remote Sensing might be funded by the Engineering and Physical Sciences Council (EPRSC) or the Natural Environment Research Council (NERC). Research Councils provide studentships that cover your tuition fees and living expenses.
Full studentships are very competitive, so many students will need to self-fund their PhD. There are numerous options for candidates taking this route, including the UK government’s doctoral loan, support from charities or trusts, and part-time employment.
PhD in Remote Sensing careers
Many PhD graduates in Remote Sensing will go on to pursue a career in research. You may also wish to seek work as a professional remote sensing or geospatial intelligence analyst. Remote sensing has applications in many sectors such as resource management, environmental conservation, urban planning and security.
PhD in Automated Eddy Currents Inspection of Dry Carbon Fibre/Fabric for Composite Manufacturing and Recycling
School of Geography and Sustainable Development PhD Studentship Competition 2023/4
Revealing the subsurface - Creation of real-time gravity maps for engineering targets
Improved monitoring of water resource and hazard using low earth orbit small satellites (RDFC23/EE/ROLLASON)
The use of satellite data to examine regional and global patterns of temperature change (elevation-dependent warming) in mountainous regions
Aeolian ripple dynamics on Mars: remote sensing and airflow modelling using earth analogues
Soil carbon sequestration: monitoring and evaluation
Developing a high-resolution spatial model to assess solar photovoltaic panel suitability for reduction of greenhouse gas emissions and energy costs
Assessing energy efficiency of buildings – role of remote sensing data and geospatial methods
Grassland Degradation Detection and Assessment in China by Remote Sensing
Assessing Effect of Carbon Emission Reduction by Integrating Renewable Energy and Spaceborne Observation Technologies
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