DA CDT Application Instructions
Our Offer
Become a future leader in Distributed Algorithms and solve some of the world’s toughest challenges by working at the interface of AI, machine learning and data science. Study with a team of world-leading researchers and develop flexible, fast and efficient data science solutions utilising future computing power.
Why Choose the CDT in Distributed Algorithms?
• Funded PhD studentships
• Generous stipend and additional support for your doctoral studies (rates)
• PhD projects co-defined and co-supervised with a project partner
• Placement opportunities
• Great employability links
• Inclusive and supportive cohort environment
• Technical and Personal training and development
• Access to state-of-the-art computing hardware
Apply Now
The next round of projects will be advertised in December 2021, for a 1st October 2022 start date.
Meanwhile, if you would like to make a general application for us to hold on file, you can submit a generic application and we will be in touch this December with opportunities for the October 2022 cohort.
Please follow the DA CDT Application Instructions in and apply online via the University's PhD Application Portal. The DA CDT application instructions will guide you through the University’s generic PhD application form.
Key Notes for your Application
To ensure your application is received and processed you must enter the following information on the University's generic application form:
- Admission Term: 2022-23
- Application Type: Research Degree (MPhil/PhD/MD) – Full time
- Programme of Study: Electrical Engineering and Electronics – Doctor in Philosophy (PhD)
The remainder of the application guidance is found in the CDT Application instructions found on our website.
The CDT is committed to providing an inclusive environment in which diverse students can thrive, the CDT particularly encourages applications from women, disabled and Black, Asian and Minority Ethnic (BAME) candidates, who are currently under-represented in the sector.
Eligibility and Funding
CDT projects are co-funded by an external partner therefore each project has specific eligibility requirements. Please read the project description to find out if you are eligible to apply.
CDT students are awarded: fees, stipend (to cover living costs) and individual research and training funds (for conferences, travel, consumables, etc).
International students can apply for a CDT studentship. International studentships are competitive and limited to 30 percent of the total cohort (each year). We recommend international students apply early as places are limited. The CDT aims to recruit approximately 15 students each year. This does not apply to EU students with settled status.
EU and EAA students are classified as international students if they do not meet the eligibility requirements. Eligibility is based on residency not nationality. EU students with settled status are classified as Home students and eligible to apply for a majority of the CDT projects. For more info please refer to Annex B (pg 21) of this webpage for eligibility criteria.
Applicants should have, or be expected to obtain, a minimum of a 2.1 undergraduate degree and/or Masters qualification or hold exceptional work experience in a related field (Statistics, Data Science, Computer Science, Electronic Engineering, Mathematics, Physics, Engineering, or any other numerate subjects).
It is not necessary that an applicant has completed their current course of study before applying. If an applicant has not completed their current course of study, any offer may be conditional on the eventual degree classification.
We welcome applications from those with non-standard qualifications who can demonstrate knowledge, experience and skills developed in the workplace, or elsewhere, relevant to the the CDT vision. Please use your DA CDT Application Instructions to provide further details.
Other useful information
- Coronavirus (Covid-19) Safety at the University of Liverpool
- Information for Prospective Students on the UK leaving the EU
"I had decided to further my studies in Computer Science. This PhD project gives an excellent opportunity to do some research, work with an industrial partner and learn how to expand the theory and at the same time, apply it to a specific problem." - Current CDT PhD Student
Back to: Centre for Doctoral Training in Distributed Algorithms