University of East Anglia Featured PhD Programmes
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swarm PhD Projects, Programs & Scholarships

We have 12 swarm PhD Projects, Programs & Scholarships

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  Visible Light Communication for Swarm Robots
  Dr NM Huda, Dr T G Kalganova
Applications accepted all year round

Funding Type

PhD Type

Swarm robotic technology applies swarm intelligence found in a biological organism in robots i.e. individual robots are programmed to compute simple task but collectively they can carry out a complex swarm behaviour.
  Bioinspired Robot Swarm for Monitoring Tasks
  Dr M Giannaccini, Dr A Starkey
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for one doctoral position in robotics at the School of Engineering, University of Aberdeen. The successful candidate will undertake research focusing on bioinspired swarm robotics for monitoring applications.
  Long-term autonomy for aerial robot swarms
  Research Group: IRIS Centre
  Dr D Danesh
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisory team. Danesh Tarapore and Andras Sobester. Project description. The occurrence of natural disasters, such as earthquakes, often have long-lasting repercussions in terms of damages to existing communication infrastructure, thus hampering coordination in search and rescue efforts.
  Model-based engineering in swarm robotics
  Prof A Cavalcanti
Applications accepted all year round

Funding Type

PhD Type

Research areas. Autonomous and self-adaptive systems; Cyber Physical Systems; Formal specification languages, methods and tools;.
  Swarming Algorithms used to achieve Goal based Missions PhD
  Dr A Tsourdos
Application Deadline: 6 July 2020

Funding Type

PhD Type

Background. This is an exciting opportunity for a fully-funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University, in the field of autonomy and multiple UAS.
  Evolutionary Robotics - Project ID SOC0023
  Prof E Hart
Applications accepted all year round

Funding Type

PhD Type

Evolutionary Robotics aims to apply evolutionary computation techniques to evolve the overall design or controllers, or both, for real and simulated autonomous robots.
  Many Objective Optimisation for Simulation in Manufacturing
  Prof S Taylor, Dr A Anagnostou
Application Deadline: 26 June 2020

Funding Type

PhD Type

Brunel University London (BUL) is recruiting to EPSRC Doctoral Training Partnership (DTP) PhD studentships effective 1 October 2020.
  Granular Computing for Power Electronics Circuits Optimisation
  Dr M Abbod
Applications accepted all year round

Funding Type

PhD Type

Granular computing is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information.
  VC International Scholarship in Coordinated movement of random fish schooling
  Dr U Kadri, Dr C Davies
Application Deadline: 1 June 2020

Funding Type

PhD Type

Please see eligibility criteria before applying. One of the most highly debated questions in the field of animal swarming and social behaviour, is the collective random patterns and chaotic behaviour formed by some animal species, in particular fish schooling.
  Neuronal and biomechanical mechanisms underlying the control and plasticity of aimed limb movements
  Dr T Matheson, Dr R Swidbert
Application Deadline: 7 June 2020

Funding Type

PhD Type

Most animal movements are driven by muscle contractions controlled by the nervous system, but there is now considerable evidence that passive forces, originating in muscles, tendons or other tissues, interact with active forces to generate limb movements in both vertebrates and invertebrates (Page et al.
  Real-Time System Management for Asynchronous Hardware
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Co-supervisor. Dr Mark Vousden, Dr Graeme Bragg. Project description.
  New continuous learning driven techniques for evolvable cross-layered autonomous networks
  Research Group: Communication Technologies
  Dr Y Ko
Applications accepted all year round

Funding Type

PhD Type

This PhD project will research into new technical innovations that can embrace today’s transfer machine learning advances into a process of designing and controlling cross-layered (i.e., PHY and MAC) networks with autonomous mobility nodes in a range of connected autonomous mobility applications.
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