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sar PhD Projects, Programs & Scholarships

We have 10 sar PhD Projects, Programs & Scholarships

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  Exploring Design Opportunities for Context-Adaptive Collaborative Tools to Support and Enhance Drone-assisted Search and Rescue (SAR) Operations
University of Leicester Department of Informatics
  Dr N Verdezoto, Dr M Hoffman
Application Deadline: 21 January 2019
Every year hundreds of people are reporting missing in mountains and national parks in the UK. The extreme changes in weather conditions, reductions in statutory services budgets as well as the lack of resources and training make rescuing operations more challenging.
Details
Type/Funding
  Assessing Drought Resilience of Restored Peatlands Using Combined Optical and Microwave Satellite Data
The James Hutton Institute Postgraduate Training
  Dr A Gimona, Dr R Artz, Dr TL Quaife, Prof K Morrison
Application Deadline: 4 January 2019
Background. Peatlands are a key component of the terrestrial carbon cycle. They sequester large amounts of carbon from the atmosphere.
Details
Type/Funding
  High resolution coherent imaging with sub-millimetre wave radar
University of St Andrews School of Physics and Astronomy
  Dr D A Robertson
Applications accepted all year round
This PhD is a CASE award funded equally by EPSRC and industrial sponsor QinetiQ. Background. Until recently the use of the region of the RF spectrum termed ‘sub-millimetre wave’ (300 to 1000 GHz) has received little attention.
Details
Type/Funding
  Identification of types of tropical forest disturbance using satellite data and artificial intelligence
University of Leicester Department of Geography
  Prof H Balzter, Dr I Tyukin, Dr P Rodriguez-Veiga
Application Deadline: 21 January 2019
Recent advances in computing technology, cloud computing and high-performance computing are paralleled with advanced artificial intelligence (AI) algorithms and significant investment in the European Copernicus Earth Observation programme and its Sentinel satellite missions.
Details
Type/Funding
  Digital use of satellite observations in offshore wind energy
University of Nottingham Faculty of Engineering
  Dr X Mao
Applications accepted all year round
Energy Research Accelerator. The Energy Research Accelerator (ERA) is a cross-disciplinary energy hub, fostering business-academia collaboration to accelerate solutions to global energy challenges.
Details
Type/Funding
  SCENARIO: Enhancing forecasting flood inundation mapping through data assimilation
University of Reading Department of Meteorology
  Research Group: SCENARIO NERC DTP
  Dr S L Dance, Dr S Vetra-Carvalho
Application Deadline: 25 January 2019
Flooding is major risk for lives and livelihoods around the world. In Europe alone, the annual cost due to flood damage is expected to rise to 100 billion EUR by the year 2080, due to a combination of climate change and socio-economic growth.
Details
Type/Funding
  Geodetic evidence for lateral magmatic connections at Chilean volcanoes
University of Leeds School of Earth & Environment
  Dr S Ebmeier, Dr D Ferguson, Prof A Hooper
Application Deadline: 7 January 2019
Knowing the location, volume and mobility of eruptible magma stored in the crust is critical for forecasting volcanic eruptions. Volcanic hazards threaten human life, health and livelihoods, so improvements to the way we interpret monitoring datasets, including deformation, have potential for real world impacts.
Details
Type/Funding
  Land use change monitoring from satellites using artificial intelligence
University of Leicester School of Geography, Geology and the Environment
  Prof H Balzter, Dr A Zhang
Application Deadline: 21 January 2019
Recent advances in computing technology, cloud computing and high-performance computing are paralleled with those in advanced artificial intelligence (AI) algorithms and significant investment in the European Copernicus Earth Observation programme and its Sentinel satellite missions.
Details
Type/Funding
  SCENARIO - Improving river flood forecasts using machine learning and water observations from river camera images
University of Reading Department of Computer Science
  Dr V Ojha, Dr S L Dance
Application Deadline: 25 January 2019
We aim to draw water information of from river cameras for river flood forecasting using machine learning algorithms. This project involves processing of a large volume of data (river camera images) and analogue measurements on river observation.
Details
Type/Funding
  New Drugs, New Biology, Tomorrow’s Therapies: Design and Characterisation of Novel Cannabinoid Ligands
University of Auckland Faculty of Medical and Health Sciences
  Dr N Grimsey
Applications accepted all year round
Compounds derived from Cannabis sativa, termed “cannabinoids”, primarily exert their effects via two G protein-coupled receptors (GPCRs), Cannabinoid Receptors 1 and 2 (CB1 and CB2).
Details
Type/Funding
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