|Funding for:||UK Students|
|Funding amount:||£17,668 p.a. for the first year, and at least this amount for a further two and a half years|
|Placed On:||14th March 2023|
|Closes:||5th May 2023|
Research Studentship in Information Engineering
3.5-year D.Phil. studentship
Project: Deep learning methods for brain-to-text decoding
Supervisors: Dr Oiwi Parker Jones
My lab is developing neural prosthetics for speech with the ultimate aim of restoring communication to paralysed patients. I have funding for a responsible and motivated DPhil candidate to work on software engineering. Your role will be to help develop relevant deep learning methods, as well as to support the development and maintenance of a core Python library for neural speech decoding. To warm up, we will implement standard techniques in the acoustic domain for endpoint detection, keyword spotting, and automatic speech recognition. We will then generalise these methods for use with brain (rather than acoustic) data as input, validating the results on neural recordings obtained while subjects listen to speech. Assuming state-of-the-art results, the best models will be released as baselines for an open machine learning competition. Time permitting, we will extend the methods to neural data obtained while subjects produce inner speech.
This studentship is funded through the UK Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership and is open to Home students (full award – home fees plus stipend). Full details of the eligibility requirements can be found on the UK Research and Innovation website.
Course fees are covered at the level set for Home students (c. £8960 p.a.). The stipend (tax-free maintenance grant) is c. £17,668 p.a. for the first year, and at least this amount for a further two and a half years.
Prospective candidates will be judged according to how well they meet the following criteria:
The following are desirable but not essential:
Informal enquiries are encouraged and should be addressed to Dr Oiwi Parker Jones (firstname.lastname@example.org).
Candidates must submit a graduate application form and are expected to meet the graduate admissions criteria. Details are available on the course page of the University website.
Please quote 23ENGIN_OPJ in all correspondence and in your graduate application.
Application deadline: noon on 5 May
Start date: October 2023
Type / Role: