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flight PhD Projects, Programs & Scholarships

We have 51 flight PhD Projects, Programs & Scholarships

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Showing 1 to 10 of 51
  Flight mechanics of insects - understanding how insects control and sense aerodynamic forces
University of Leeds Faculty of Biological Sciences
  Research Group: BBSRC White Rose DTP
  Dr S.M. Walker, Dr G N Askew
Application Deadline: 7 January 2019
Insects are the most agile and manoeuvrable of all flying animals. However, studying their flight presents a complex challenge. In the time that it takes a human to blink, a blowfly can beat its wings 50 times, powering and controlling each wingbeat using numerous tiny muscles - some as thin as a human hair.
Details
Type/Funding
  Tracking the use of energy in insect flight
University of Leeds Faculty of Biological Sciences
  Research Group: BBSRC White Rose DTP
  Dr G N Askew, Dr S.M. Walker
Application Deadline: 7 January 2019
Insects are amongst the most diverse, successful and economically important orders on earth and flight is key to their success. Flight is one of the most energetically expensive modes of locomotion and there are few aspects of an insect’s ecology, behaviour and physiology that are not affected by its energetic demands.
Details
Type/Funding
  Developing a novel system for measuring atmospheric fluxes of organic compounds by eddy covariance using a Time of Flight Chemical ionization Mass Spectrometer
University of Manchester School of Earth and Environmental Sciences
  Research Group: Atmospheric Science
  Prof H Coe, Dr J Allan, Prof M Gallagher
Application Deadline: 6 February 2019
POSSIBLE CASE STUDENTSHIP WITH AERODYNE RESEARCH INC. There are a huge number of organic compounds present in the atmosphere. They are emitted from a wide range of sources that are both natural and man-made.
Details
Type/Funding
  Development of CMOS based time-of-flight sensor for optical imaging
University of Edinburgh School of Engineering
  Dr D Chitnis, Dr R.K Henderson
Application Deadline: 12 January 2019
In recent years, time-of-flight (ToF) sensors have contributed to numerous applications from LIDAR to quantum imaging.
Details
Type/Funding
  Bug-beats: using wing beat patterns for automated detection of mosquitoes
University College London The London Interdisciplinary Biosciences Consortium (LIDo)
  Prof J Logan, Prof R Bomphrey
Application Deadline: 11 January 2019
Mosquito-borne diseases are a major challenge for human health, affecting 700 million people every year and resulting in over one million deaths.
Details
Type/Funding
  Analysis and development of fuel cell propulsion systems for drones and manned aircraft
Kingston University Faculty of Science, Engineering and Computing
  Dr C Dansoh, Dr M Claus, Prof J Wang
Applications accepted all year round
The International Air Transport Association (IATA) has adopted a set of ambitious targets to mitigate CO2 emissions from air transport.
Details
Type/Funding
  Vision based maneuvering for autonomous aircraft
Manchester Metropolitan University Faculty of Science and Engineering
  Prof W Holderbaum
Applications accepted all year round
Reference Number. PI-WH-2017-1018-1-PhD. Project Summary. This project investigates the application of computer vision and computational neuroscience in motion control and planning for unmanned aerial vehicles (UAVs).
Details
Type/Funding
  Flying Trains: The Potential to Harness Ground Effect Aerodynamics for Ultra-High Speed Trains (Advert Reference: SF18/MCE/LEUNG)
Northumbria University Faculty of Engineering and Environment
  Dr P S (Ken) Leung, Prof R Dominy
Applications accepted all year round
The ’Flying Train’ concept uses ground effect aerodynamics to provide a transport system with the convenience and capacity of rail but at near-flight velocities.
Details
Type/Funding
  Non-exhaust particulate matter from road traffic
University of Birmingham School of Geography, Earth and Environmental Sciences
  Prof R Harrison, Dr Z Shi
Applications accepted all year round
Background. Our group has been at the forefront of work internationally to characterise and quantify non-exhaust emissions from road traffic1.
Details
Type/Funding
  UAV Bridging and Real-time Deployment Protocols for Disaster & Emergency Response Scenarios (PARRGU18SCID)
University of East Anglia School of Computing Sciences
  Prof G Parr, Dr E Ren
Application Deadline: 18 January 2019
Unmanned Aerial vehicles (UAVs) play an invaluable role in information collection and data fusion in a variety of applications such as disaster response, search and rescue, surveillance, forest fire monitoring and provision of temporary communications when terrestrial/mobile networks are disrupted.
Details
Type/Funding
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