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flight PhD Projects, Programs & Scholarships

We have 35 flight PhD Projects, Programs & Scholarships

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  Simulation Fidelity Improvement Using System Identification for Edge/Outside-of-the-Envelope Flight Regimes
Liverpool John Moores University Faculty of Engineering & Technology
  Dr L Lu
Application Deadline: 24 March 2019
Research Objectives. The vision for this 3.5-year PhD research is to advance the state of the art in rotorcraft modelling and simulation for Edge/Outside-of-the-Envelope Flight Regimes.
Details
Type/Funding
  Dynamics and Control of Flapping Wing Micro Air Vehicles Inspired by Monarch Butterflies
George Washington University Mechanical and Aerospace Engineering
  Prof T Lee
Applications accepted all year round
The Flight Dynamics and Control Laboratory (http://fdcl.seas.gwu.edu) at The George Washington University, Washington DC, USA is looking for a doctoral candidate in robotics and control.
Details
Type/Funding
  Modelling Aircraft Fatigue Load Spectra and the Effect of Novel Aircraft Designs
Queen’s University Belfast School of Mechanical and Aerospace Engineering
  Dr A Murphy, Dr M Geron
Application Deadline: 13 March 2020
This project is funded through a prestigious EPSRC iCASE award and will be carried out within a large research team (including academics, PhDs and Post-Doctoral researchers) who conduct exciting and innovative research in collaboration with Rolls-Royce.
Details
Type/Funding
  ESRC DTP Collaborative Studentship - Considering culture in the cockpit: Cultural influences on crew resource management
Aberdeen University School of Psychology
  Dr A Irwin, Dr D Ray, Prof R Flin
Application Deadline: 31 March 2019
The safety of UK helicopter operations was recently highlighted by the Civil Aviation Authority, after the assessment of 25 offshore helicopter accidents from 1992-2013.
Details
Type/Funding
  Flocking dynamics in birds : the role of personality and experience
Royal Holloway, University of London School of Biological Sciences
  Dr S Portugal
Applications accepted all year round
Many birds travel in flocks comprising many individuals. During flights, decisions have to be made about who leads and follows, and who is positioned where in the flock.
Details
Type/Funding
  Drone Autonomy through Probabilistic Risk Estimation
University of Bath Centre for Accountable, Responsible and Transparent AI
  Dr D Cleaver
Application Deadline: 1 April 2019
Since 2017 the University of Bath has been developing an approach to drone autonomy based on probabilistic estimation of both ground and air risk, and includes the probabilistic prediction of aircraft trajectories.
Details
Type/Funding
  Investigation of Large Fold Angles of a Semi Aeroelastic Hinged Wing Tip
University of Bristol Department of Aerospace Engineering
  Prof J Cooper
Application Deadline: 31 March 2019
The Semi Aeroelastic Hinged wing tip concept has been developed by Airbus with the University of Bristol and is based on idea of allowing a wing-tip, that can be moved on the ground to fit airport gates, to be released for passive movement in-flight to enable gust loads alleviation & improved roll efficiency.
Details
Type/Funding
  Research opportunities in Engineering at Brunel University London
Brunel University London Computer Science
 Engineering in Brunel has a long tradition of cutting edge, industry applicable research at international and world class standards.
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
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