Skip to content

KESS2 East PhD in Medicine: Use of technological platforms to enhance phenotypic understanding in primary dystonia

This funding opportunity has expired.

Key facts

Application deadline 1 May 2019
Start date 1 July 2019
Duration 3 years
Funding body KESS
Level of study Postgraduate research
Award type PhD studentship
Number of studentships One

This KESS2 East PhD project is aimed at recruiting a large cohort of individuals diagnosed with adult-onset primary focal dystonia, making use of state-of-the-art technology both in laboratory and real-life settings to better understand the motor and non-motor phenotypes.

Dystonia is one of the most common forms of movement disorder, affecting ~1% of the population and involves co-contraction of antagonistic muscle groups leading to abnormal postures and movement.

As a result, the disorder causes significant pain, disability and distress, impacting employment, education and social interaction.

In addition, individuals with dystonia also experience non-motor symptoms, which may include sleep disturbance, psychiatric symptoms, cognitive processing difficulties and pain.

In spite of this, motor and non-motor phenotypic understanding of dystonia is poor with non-motor symptoms often going unrecognised and untreated.

Previous work within our group has led to the identification of clear psychiatric phenotypes in genetically determined forms of dystonia, with this leading to interest in the wider spectrum of non-motor symptoms. However, adult-onset forms of dystonia represent the most common form of dystonia, and likely represents a highly heterogenous clinical group.

Aims and methods

  • To recruit a large cohort of patients with adult-onset focal primary dystonia.
  • To conduct detailed non-motor characterisation via our online portal –
  • To apply the use of novel eye tracking and wearable technologies (with Aparito) to aid understanding of motor phenotypes in dystonia.
  • Determination of whether emerging technology in the form of wearable devices and smart phone apps can help to develop new digital biomarkers in dystonia.
  • Methods include:
    • longitudinal clinical studies, the use of different digital platforms to collect data relevant to patient phenotyping
    • data analysis skills to include R statistical analysis, MatLab and machine learning techniques
    • Commercial development linking with our partner company – Aparito – to understand the role of biotechnology in health sciences.


This project provides a wide range of outstanding opportunities that will be of use in future academic, industry or digital technology careers, as well as the platform for publication of direction setting data in this field.

You will have the opportunity to develop a range of key skills. These will include interacting with patients, both during assessments and with patient and public engagement activities, enabling the development of presentation skills to large, small, lay and professional audiences.

You will also develop a large skill set of data handling and analysis skills, including multiple software packages (R and MatLab), as well as the opportunity for machine learning based approaches. These are likely to be key skills in future academic and industry related careers.

Finally, a key element of this project is the opportunity to work alongside our partner company, Aparito. You will spend a period of time working within the Aparito organisation, observing the development of new software, as well as the process by which these are developed into successful commercially available products.


Funding details

Tuition fee support Full UK/EU tuition fees
Maintenance stipend Doctoral stipend matching UK Research Council National Minimum

Eligibility criteria

Residency Applicants for these awards must have a home or work address in the East area of Wales at the time of their application for funding and enrolment.
Academic criteria

Applicants for research PhDs will be expected to have one or both of the following:

  • a first degree, normally with class 2:1 or equivalent in a relevant subject
  • a relevant master's degree qualification or equivalent.

You must:

  • have the right to work in the UK on completion of the scholarship
  • be classified as a ‘home’ or ‘EU’ student
  • satisfy the respective admissions criteria.

It is a condition of eligibility for KESS2 funding that you have not applied for, nor are intending to apply for, a doctoral or research master's loan. Please read clause (3) (m) of The Education (Postgraduate Doctoral Degree Loans) (Wales) Regulations 2018 for more information.

East Wales region is comprised of 7 local authorities: Cardiff, Flintshire, Monmouthshire, Newport, Powys, Vale of Glamorgan and Wrexham.

In the first instance, you should make initial enquiries via the named School/academic supervisor for each funded KESS2 project. You must apply initially to the Doctor of Philosophy in Medicine identifying the KESS2 Scholarship you wish to be considered for.

If deemed suitable for the project, you will be invited to complete a KESS2 participant form which assesses eligibility for funding. You must also be able to provide supporting documentary evidence of your eligibility. Guidance on this requirement is outlined in the KESS2 participant form. Suitable applicants will be sent this form to complete following the School selection process. Further advice is available from the KESS2 team.

We reserve the right to close applications early should sufficient applications be received.

Funding opportunity provided by:

Eligible research programmes