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Metrology (complex systems) PhD Projects, Programs & Scholarships

We have 6 Metrology (complex systems) PhD Projects, Programs & Scholarships

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  Adaptive self-learning vision systems
  Dr P Kinnell, Dr N Lohse, Dr A Soltoggio
Applications accepted all year round

Funding Type

PhD Type

Many computer vision systems make use of artificial neural networks to undertake complex image analysis tasks, such as locating objects in a clutter scene.
  EPSRC Centre for Doctoral Training in Delivering Quantum Technologies

Funding Type

PhD Type

4-year PhD programme in quantum technology and quantum systems engineering. • Quantum technologies involve control and manipulation of quantum states to achieve results not possible with classical matter, transforming measurement, communication and computation.
  Nanotribological properties of organic surfaces
  Prof GJ Leggett
Applications accepted all year round

Funding Type

PhD Type

Friction is ubiquitous in all sliding contacts. Much energy is dissipated in sliding contacts, and the minimisation of friction can make a significant contribution to the efficient use of fuels.
  Improving the sensitivity of gravitational-wave detectors
  Research Group: Gravitational Physics
  Dr K Dooley, Prof H Grote
Application Deadline: 10 January 2020

Funding Type

PhD Type

Since the start of their first observing runs in fall 2015, Advanced LIGO and Virgo have made direct detections of gravitational waves created by the collisions of black holes and of neutron stars, thus bringing to life a new instrument for astronomy.
  Doctor of Engineering (EngD) - Ultrafast laser inscription of components for quantum technologies
  Prof A Kar, Prof D Reid
Applications accepted all year round

Funding Type

PhD Type

The Ultrafast Laser Inscription technique exploits the high fields present at the focus of an ultrafast pulse train to modify transparent materials.
  Optimising protocols for quantum-enhanced spin-based magnetometry (EPS2020/21)
  Dr E Gauger
Application Deadline: 28 February 2020

Funding Type

PhD Type

Spin-based sensors are a promising platform for nanoscale magnetic resonance imaging. This project is concerned with unlocking their full potential through the exploration and development of quantum control approaches based on Hamiltonian- and machine learning approaches.
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