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signal processing PhD Projects, Programs & Scholarships

We have 102 signal processing PhD Projects, Programs & Scholarships

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  Social Signal Processing and Affective Computing with Machine Learning to Evaluate and Enhance Perceptual Amblyopia Treatment with Serious Games
  Dr R Gibson, Dr G Cassidy
Applications accepted all year round

Funding Type

PhD Type

SEBE-19-003. The proposed project aims to develop applied games driven techniques to evaluate and improve amblyopia through Social Signal Processing, Affective Computing and Machine Learning techniques.
  Data Driven Information Recovery in Sensor Systems
  Prof J Thompson
Application Deadline: 13 November 2019

Funding Type

PhD Type

This PhD project will enable to researcher to study transformative technologies for rethinking how we sample and record data from a wide variety of sensors.
  Event based signal processing for isotope identification at reduced power
  Dr A Hamilton
Application Deadline: 10 November 2019

Funding Type

PhD Type

Conventional detection systems typically comprise analogue sensors, analogue to digital conversion, digital signal processing and sometimes digital to analogue conversion, all driven by a synchronous clock.
  Signal Processing and Machine Learning for microendoscopy sensing for in vivo pharmacology
  Dr J Hopgood, Dr KD Dhaliwal
Application Deadline: 21 October 2019

Funding Type

PhD Type

As part of a recently awarded EPSRC grant, in partnership with GSK, we are seeking an engineering student with strong signal processing, image processing or machine learning qualifications and skills to develop algorithms to improve the quality of data received from an imaging and sensing system called Kronoscan.
  Computational neuroscience: neural signal processing & neural computing
  Research Group: Intelligent Systems and Nanoscience
  Dr D Halliday
Applications accepted all year round

Funding Type

PhD Type

The human brain is one of the most complex systems known to man. It consists of vast numbers of interacting units (called neurones) that communicate with each other using sequences of pulses (called spike trains).
  PhD Studentship Opportunity in Audio for hearables: algorithms for context-aware rendering
  Dr P Coleman
Application Deadline: 28 October 2019

Funding Type

PhD Type

Media content is consumed on-the-move in many different environments. A typical commuter, while listening to music over headphones, might encounter noise levels from quiet residential streets to crowded underground carriages.
  PhD Studentship Opportunity in Audio for hearables: sound analysis for context-aware rendering
  Dr P Jackson
Application Deadline: 28 October 2019

Funding Type

PhD Type

Media content is consumed on-the-move in many different environments. A typical commuter, while listening to music over headphones, might encounter noise levels from quiet residential streets to crowded underground carriages.
  Privacy-assuring signal processing for the release of healthcare data
  Dr B Rassouli, Dr H Ahmadi, Dr L Musavian, Prof G Green
Application Deadline: 28 October 2019

Funding Type

PhD Type

Application deadline. Monday 28 October 2019. Start date. January 2020. Lead department. School of Computer Science and Electronic Engineering.
  High-resolution Imaging of Near-Earth Objects and Space Debris: Real-Time Atmospheric Tomographic Signal Processing
  Dr SJ Waddell, Dr R Clare
Applications accepted all year round

Funding Type

PhD Type

The research project is concerned with development and implementation of signal and image processing algorithms for predicting a distortion function when viewing an artificial satellite or large space debris objects thorough atmospheric turbulence and with the aid of a 60 cm to 100 cm optical telescope.
  Improvements in headphone based 3-D audio using adaptive binaural signal processing and robust head-tracking
  Research Group: Communication Technologies
  Dr G Kearney
Applications accepted all year round

Funding Type

PhD Type

Design of immersive binaural surround systems requires an understanding of the perceptual cues for sound source localisation. Any source at a given angle of incidence to the head will create subtle time and level difference cues at the ears and is subject to spectral shaping due to the pinnae.
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