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EPSRC Centre for Doctoral Training in Distributed Algorithms

EPSRC Centre for Doctoral Training in Distributed Algorithms

60 funded PhD studentships will be available over the next 5 years for UK and EU students.

The EPSRC Centre for Doctoral Training in Distributed Algorithms (CDT) at the University of Liverpool will train a cohort of 60 students to have the skills and experience that enables them to solve pressing industrial problems by co-defining “where” and “how” future algorithms will be distributed across tomorrows hardware. By fulfilling this critical training need, the CDT will enable the UK to take the lead in Distributed Algorithms.

Why choose the EPSRC Centre for Doctoral training in Distributed Algorithms?

  • Fully funded four-year studentships co-defined with an identified user of data science
  • A 3-6 month placement with your industrial partner
  • Engagement with internationally-leading supercomputing centre, STFC’s Hartree Centre
  • Access to state-of-the-art computing hardware from IBM Research
  • Interdisciplinary cohort training and development experiences delivered by Alan Turing Institute

The CDT will work with each student to define the training that aligns with their needs and the specific demands of the studentship. Our training provision will include the training needs associated with both the "Future Computing Systems" and "Towards a Data-Driven Future" priority areas. We will use guest lectures from, for example, IBM and UC Berkeley to ensure we maximise our graduates' ability to thrive and to become tomorrow's leaders in Distributed Algorithms.

To find out more about the programme, current opportunities, our industrial partners and eligibility requirements click here.

EPSRC Centre for Doctoral Training in Distributed Algorithms

“Being a CDT student gives me the opportunity to do my PhD as part of a cohort which means that I learn not only to accomplish things on my own but also I learn the value of being a member of a team.” Theofilos Triommatis, CDT student co-sponsored by MBDA

“The CDT allows me to develop my skills, and to collaborate with market-leading industries to innovate in real-world scenarios.” Marco Fontana, CDT student fully funded by Sintela


These studentships are open to UK & EU Students

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 (Computer Science, Data Science, Electrical & Electronics, Statistics Applied Mathematics, Information Science, Mathematical Sciences, Software Engineering, Physics).

How to apply – first deadline, 31 January 2020

Applications are being accepted now for 12 places for the Oct 2020 intake in three tranches. Apply by 31st January 2020 to be interviewed at the end of February and receive an early decision. Visit our webpages to view the current opportunities.

To apply, identify up to 3 projects of interest and submit 1 application following the CDT application instructions and apply online via the University website. The instructions are designed to guide you through the University’s generic PhD application form and make the application process as simple as possible.

FAQs for potential students

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