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We have 19 Remote Sensing PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK

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Remote Sensing PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK

We have 19 Remote Sensing PhD Projects, Programmes & Scholarships 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.

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Primary production and carbon export across the Flamborough frontal system: interaction with offshore wind energy

This PhD scholarship is offered by the Aura Centre for Doctoral Training in Offshore Wind Energy and the Environment; a partnership between the Universities of Durham, Hull, Newcastle and Sheffield. Read more

The challenges of automated big data fusion to bring the National Geospatial Database into the third dimension - Ordnance Survey

This project is part of the. Centre for Doctoral Training in Geospatial Systems. The successful candidate will be co-supervised by academics from within the School of Engineering at Newcastle University and work alongside our external partner. Read more

FLOURISHING-LANDSCAPES: Integrating social and ecological data to inform landscape-scale decision-making for the design of nature-based solutions in West African agricultural landscapes

Two DPhil (PhD) positions are available on the programme "FLOURISHING-LANDSCAPES. Enhancing the social and ecological outcomes of nature-based solutions in tropical agricultural landscapes" led by the Nature-based Solutions Initiative, Department of Biology, University of Oxford. Read more

FLOURISHING-LANDSCAPES: Ecological remote sensing to evaluate and inform the design of nature-based solutions in West African agricultural landscapes

Two DPhil (PhD) positions are available on the programme "FLOURISHING-LANDSCAPES. Enhancing the social and ecological outcomes of nature-based solutions in tropical agricultural landscapes" led by the Nature-based Solutions Initiative, Department of Biology, University of Oxford. Read more

Neuromorphic RF sensing and processing

Artificial Neural Networks (ANN) have been a research topic since 1940's, even though it is only after the formalisation of the backpropagation algorithm for ANNs in 1986, that it has become possible to effectively train a non-linear ANN with multiple hidden layers of neurons. Read more

Understanding glacier dynamic change and iceberg risk evolution in Greenland

Project summary. Greenland’s marine terminating glaciers are undergoing rapid change, though how this impacts iceberg risks to settlements and current/future social and economic activities in fjords is currently poorly understood. Read more

Uncovering adaptation and mitigation strategies to reduce pollutant propagation in coastal areas: countering the effects of human activities.

Coventry University (CU) is inviting applications from highly motivated, suitably qualified graduates for a fully funded PhD studentship in experimental and numerical modelling of pollutant transport in coastal areas in order to optimize low-cost sustainable solutions to reduce the impacts caused by human activity and climate change. Read more

Autonomous reality capture: from 3D data acquisition to digital twin creation

With the recent release of Hexagon Geosystem’s BLK ARC and BLK2FLY technologies, the focus of creating automated large-scale 3D geospatial digital twins evolves from that of efficient primary data acquisition entirely to endgame interpretation and creation of the Building Information Model (BIM). Read more

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