University of Leeds Featured PhD Programmes
Brunel University London Featured PhD Programmes
University of Edinburgh Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes
10 miles

processing PhD Projects, Programs & Scholarships

We have 602 processing PhD Projects, Programs & Scholarships

  • "processing" ×
  • clear all
Order by 
Showing 1 to 10 of 602
  Signal Processing Algorithm Design for Next-Generation Neuro-Sensor Technology
  Prof A Bertrand
Application Deadline: 30 April 2019
The work will be performed within the research division STADIUS (’Stadius Centre for Dynamical Systems, Signal Processing, and Data Analytics’) at the Department of Electrical Engineering (ESAT) at KU Leuven, Europe’s most innovative university (Reuters, 2018).
  Biologically Inspired Deep Learning for Speech Information Processing
  Dr K Chen
Applications accepted all year round
Deep learning is a machine learning methodology via using hierarchical architectures of many layers to learn abstractive yet informative representations from raw data.
  Doctor of Engineering (EngD): Optical Communication and Image Processing for Space Applications (OCIPSA) (STAR-Dundee)
  Prof D Reid
Application Deadline: 30 April 2019
Project not available to non UK/EU applicants. The EngD is an alternative to a traditional PhD aimed at students wanting a career in industry.
  Radio-frequency Image Processing (EPSRC CDT in Distributed Algorithms)
  Prof K Chen, Dr Y Zheng
Application Deadline: 29 March 2019
This studentship has been developed by the University of Liverpool in partnership with Leonardo. This PhD will develop novel methods for processing modern radar range-Doppler data, using methods taken from image processing and adapting them for use to process very large 2D signal data.
  Audible Acoustics for Damage Detection in Aerospace Composite Structures
  Dr M Pearson, Dr R Pullin
Application Deadline: 19 April 2019
Cardiff University, Airbus, AcSoft and gfai tech are offering this unique opportunity to be part of an international collaboration to develop a carbon fibre composite damage detection system using Audible Acoustics (AA) for aerospace applications.
  Eukaryotic gene expression: understanding the role of UPF1 in global mRNA processing and amyotrophic lateral sclerosis (ALS)
  Dr S Brogna
Applications accepted all year round
This project’s specific objective is to study the molecular role(s) that the RNA helicase UPF1 plays in RNA processing. UPF1 is a key player in nonsense-mediated mRNA decay (NMD), it is universally conserved in eukaryotes and is essential to the development of many organisms [1].
  Thermomechanical Processing of AlMgSiCu Alloys for High Electrical and Thermal Conductivity Applications.
  Prof I Chang
Application Deadline: 29 March 2019
You will develop and optimise the melt treatment and thermomechanical processing (TMP) conditions for a new generation of higher thermal and electrical conductivity age hardening AlMgSiCu aluminium alloys for applications in the wiring systems of electric vehicles and in the cooling systems of electric vehicle battery modules.
  Advanced Image Processing Techniques for Complex Multidimensional Imaging Data
  Dr B Obara
Applications accepted all year round
PhD in Computer Science at Durham University, UK. The project will develop techniques and methods for processing and analysis of complex multidimensional image data, with applications in biology, medicine, engineering, remote sensing, and arts and humanities.
  PhD project: Automation of seismic processing with machine learning
  Prof G Fabien-Ouellet
Applications accepted all year round
Seismic imaging is a powerful technology used by geologists and engineers to image soils and rocs.
  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
Application Deadline: 28 March 2019
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.
Show 10 15 30 per page

FindAPhD. Copyright 2005-2019
All rights reserved.