Your PhD research journey starts here...

Welcome to the Distributed Algorithms CDT! Please browse this page to discover our current PhD projects, eligibility and application information.

Want to start a PhD and a career with industry?

Interested in AI, data science and machine learning? Want to start your research career with a successful research group and gain highly sought after industrial skills and experience at the same time? Our CDT is looking for ambitious individuals to apply for fully funded PhD studentships with a passion for making a difference.  Apply now to join the CDT and begin your PhD on 1st October 2023. 

The application process is currently on hold. However, you are invited to submit a generic application, following the DACDT Application Instructions here: DA CDT Application Instructions V5_2023. The next recruitment round is expected to open mid-February. Please bookmark this page and check back periodically. 

(If you decide to submit a generic application please follow the application instructions to ensure that your application is submitted to the correct department. Any deviations from this guidance may result in your application not being received. Thank you).

Application Process
Applications are assessed by independent academic panels. The outcomes are scored, ranked and the top ranked candidates for each project are invited to interview. The CDT aims to make informal offers to the successful candidates within one month of the closing date.

PhDs in Data Science, Machine Learning and AI

Who do we want?

We are 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.  We can also consider part time PhD students.

  • Diverse group of talented individuals from a various backgrounds.
  • People with either an UG or MSc in a numerate subject.
  • People with ambition and interest in making a difference.

Why Choose the Distributed Algorithms CDT?

  • Fully Funded PhD studentships (for both home and international students).
  • Generous monthly tax free payment of £1,472 (stipend rates).
  • Annual training grant for conferences, travel, books, etc.
  • PhD projects co-defined and co-supervised with a project partner.
  • Placements in year 3.
  • Longer-term employment potential.
  • Inclusive and supportive cohort environment.
  • Technical, professional and personal training and development.
  • Access to state-of-the-art high-performance computing.

Why did one of our current student apply?

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. 

Want to speak with someone about the CDT to make sure it's right for you?

Please feel free to email one of our student ambassadors or get in touch with the CDT director or centre staff for more information.  You can find our details on the contact us page.

CDT Application Instructions

To ensure the CDT receives your application and it is assessed with the other applications you must:

  • Select 'Electrical Engineering and Electronics PhD' for the programme of study on the University's application form (see point 1 on the CDT application instructions).
  • Send your ranked list of the top 3 preferred projects at the end of your supporting statement (see point 5 on the CDT application instructions).

Please follow all of the guidance on the CDT application instructions V4 to ensure your application is received and processed by the CDT.  Any deviation from the guidance may result in your application not being processed and deferred to the next round of recruitment.

The DA CDT process was the best application process I undertook. Inclusive of the many job applications I completed during my undergraduate. 

Group photo SPG and CDT
CDT & Signal Processing Group


Click through to our News page to read about our current research work, student stories and blogs about life as a CDT Student.


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