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lighting PhD Projects, Programs & Scholarships

We have 27 lighting PhD Projects, Programs & Scholarships

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  (BBSRC DTP) Light-dependent control of physiology via the brain’s central clock
  Dr T Brown, Dr D Bechtold, Dr G D'Agostino
Application Deadline: 31 January 2020

Funding Type

PhD Type

Aside from helping us perceive the world around us, light is a key regulator of physiology and behaviour due to its influence on the brains internal clock in the suprachiasmatic nuclei (SCN).
  Early fire detection for effective disaster management using Artificial Intelligence Technology
  Research Group: Visual Computing
  Mr I Mehmood
Applications accepted all year round

Funding Type

PhD Type

Disaster management, as a hybrid research area, has attracted the attention of many research communities such as business, computer science, health sciences, and environmental sciences.
  Enhancing the stress tolerance and shelf life of horticultural crops through light quality manipulation
  Prof K Franklin, Prof A M Hetherington
Application Deadline: 2 December 2019

Funding Type

PhD Type

Despite comprising a small component of sunlight, UV-B wavelengths (280-315 nm) regulate a diverse array of regulatory processes in plants, including growth, metabolite content and resistance to pests and diseases.
  School of Art, Design and Architecture

Funding Type

PhD Type

Your future needs and enabling you to become global professionals are our primary focus.
  The application of artificial intelligence to benthic species identification
  Dr K Howell, Dr P Culverhouse
Application Deadline: 7 January 2020

Funding Type

PhD Type

Marine benthic ecosystems are chronically under-sampled particularly in environments >50m. Yet a rising level of anthropogenic threats makes data collection ever more urgent.
  Discover Doctoral Opportunities in Architecture

Funding Type

PhD Type

The University is rated consistently in the top 100 QS World University Rankings, priding itself on research-led critical thinking that aims to make an impact in the world.
  Microphotonic Materials and Structures for Chipscale Sensors
  Dr N Laurand, Dr M Strain
Application Deadline: 28 February 2020

Funding Type

PhD Type

Our team at the Institute of Photonics is at the cutting-edge of research in photonic materials and devices for the application of light to solve challenges.
  PhD Studentship Opportunity in Generating virtual camera views using Generative Networks
  Dr S Hadfield, Dr A Gilbert
Applications accepted all year round

Funding Type

PhD Type

This project will explore how advances in Generative networks and deep-learning approaches to inpainting can be combined to create virtual camera views.
  Putting new twists on pi-Electron acceptor design
  Dr A-J Avestro, Prof D W Bruce
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Electron-deficient π-conjugated organic materials are the subject of intense research on account of the strong prospects to revolutionise efficient lighting and energy generation applications.
  Redox-active twistacenes: putting new twists on pi-electron acceptor design
  Dr A-J Avestro
Applications accepted all year round

Funding Type

PhD Type

The Avestro Group seeks a talented and motivated PhD student to carry out a 3-year research project on the development of a new class of functional organic materials based on twisted π-conjugated polyaromatics.
  Deep-learning computer vision for tracking animals with UAVs/drones
  Dr DW Franks
Applications accepted all year round

Funding Type

PhD Type

Research areas. Deep learning; Machine learning; Computer vision. Modern UAV / drone technology offers a non-invasive approach to recording animals in the wild.
  Hybrid description methods for human faces
  Research Group: Communication Technologies
  Prof J A Robinson
Applications accepted all year round

Funding Type

PhD Type

The group has pioneered the application of conditional probability density estimation to describing human faces. Our methods allow a system to estimate the age, sex, race and facial expression of people in a real-time video sequence.
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