Vacancy Details

Description

Three Dimensions Engineering’s view in developing Medical Diagnostic AI based at the University of Gloucestershire (Cheltenham) starting 1 October 2019.

The diverse nature of cerebral activity, as measured using neuroimaging techniques, has been recognised long ago. It seems obvious that using single modality recordings can be limited when it comes to capturing its complex nature. Thus, it has been argued that moving to a multimodal approach will allow neuroscientists to better understand the dynamics and structure of this activity. This means that integrating information from different techniques, such as electroencephalography (EEG) and the blood oxygenated level dependent (BOLD) signal recorded with functional Magnetic Resonance Imaging (fMRI), represents an important methodological challenge.

Despite all the real differences between the fMRI and the EEG, their combination is useful in several cases.  Indeed, this combination have been used in identifying ICU patients with severe traumatic brain injuries who have a level of consciousness not revealed by the standard bedside neurological examination. 

This industry linked interdisciplinary PhD project thus aims to use a range of methodologies from across disciplines of neurological science, engineering and computer science (AI especially deep learning) to overcome above challenges and create new knowledge and tools to predict.

This PhD is interdisciplinary in nature and as such would suit highly motivated applicants from a wide range of numerate, scientific backgrounds, candidates with 2.1 Undergraduate degrees in Engineering, or Computer science. MSc’s in a relevant subject such as Electronic, Communications Engineering, Computer Science would be highly desirable. Experience with AI and coding is advantageous.

How to apply:  Please send your completed application form to Dr Salah Al-Majeed (salmajeed@glos.ac.uk)

Application deadline: Thursday 1 August 2019

Short-listed candidates will be invited for interview to the University of Gloucestershire, Park Campus, Cheltenham, or by Skype

Interview Date: Tuesday 16 August 2019

Start Date: Tuesday 1 October 2019

This is a 3-4 years studentship fully funded by University of Gloucestershire

For informal enquiries and further information, please contact Dr Salah Al-Majeed (salmajeed@glos.ac.uk)

Please download and save the Application for EmploymentForm to your computer. You will need to complete this form as part of the online application process. Your application will not be considered without this form.  

The University understands the benefits of recruiting a diverse range of people and welcome applications from under-represented sections of the community.