Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 115 signal processing PhD Projects, Programmes & Scholarships

Discipline

Discipline

All disciplines

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


signal processing PhD Projects, Programmes & Scholarships

We have 115 signal processing PhD Projects, Programmes & Scholarships

Join Our Team: Fully Funded 4-Year PhD Position in Cognitive and Social Neuroscience

We are recruiting a 4-year PhD student (fully funded) focusing on cognitive and social neuroscience. The project focuses on the exploration of interpersonal synchrony, aiming to understand the mechanism of governing self and coordinating with others. Read more

Automatic Object and Behaviour Recognition in Video/ Image Sequences

Smart CCTV systems have been subject on an increased interest during the last decades. There are many reasons for this interest, such as the need of processing quickly, in an automatic way huge amounts of video data. Read more

Multimodal Control of Prosthetic Limbs/Paralysed Muscles

This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs. Read more

Robust Computational Methods for High-Dimensional Imaging

This project aims to develop new computational algorithms to optimize the acquisition and processing of single-photon data and enable fast imaging in extreme conditions using statistical and learning based approaches.   The project is funded for 3.5 years for international students and a ~£17K annual stipend. Read more

Using Brain Computer Interface to Improve Cognitive Performance

Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI)) for improving cognitive performance (e.g. Read more

Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems

This project will focus on the development of Bayesian inference methods such as sequential Markov Chain Monte Carlo (MCMC) methods for filtering and smoothing of states and parameters of complex nonlinear systems. Read more

Multi-Sensor Data Fusion and Smart Decision Making

Future intelligent systems will involve the deployment of large-scale sensor networks in which hundreds or thousands of microsensors, unexpensive, small and lightweight devices with integrated sensing, computing, communication and possibly actuation capabilities will work together to achieve a common mission-specific task. Read more

Filtering Results