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Ph.D. On Campus

EPCC - High Performance Computing, Computational & Data Science, Software Engineering

The University of Edinburgh

36 months
Duration
28000 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The EPCC - High Performance Computing, Computational & Data Science, Software Engineering programme at The University of Edinburgh offers the opportunity to study for a PhD in areas related to High Performance Computing, Computational & Data Science, Software Engineering & Sustainability, and Parallelism.

Overview

Founded in 1990, EPCC is one of the leading supercomputing centres in Europe and a major provider of training in high performance computing. EPCC’s expertise includes advanced research, technology transfer, commercial consultancy and the provision of supercomputing and data services to academia and business.

EPCC hosts an exceptional collection of high-performance and novel computing facilities including, on behalf of UKRI, 'ARCHER2', the UK’s Tier-1 research supercomputer. Other systems include the Arm-based 'Fulhame' system as part of the Catalyst UK programme and the heterogeneous (CPU/GPU) 'Cirrus' system, a national Tier-2 HPC service. EPCC will also host, as part of the Edinburgh International Data Facility (EIDF), host the first European deployment of a Cerebras CS-1 High Performance AI Computer.

  • ARCHER2
  • Fulhame
  • Cirrus
  • EIDF

EPCC has a team of experienced researchers with a wealth of expertise in the latest technologies. We have active research interests in various and varied areas including:

  • Computational modelling, including computational fluid dynamics
  • Programming models and software for future HPC systems
  • Performance characterisation and benchmarking
  • HPC at the Exascale level
  • Big Data and Data Science at scale
  • Software Sustainability
  • Quantum Computing for HPC
  • FPGAs and novel hardware

Our software specialists have an impressive portfolio of projects, including many industrial applications. We work at the forefront of the field, for example through our leadership of the UK’s Software Sustainability Institute, ensuring that today’s new software continues to be improved and supported in the future.

At any time EPCC may be working on dozens or more nationally and/or internationally significant projects often in collaboration with academia, industry, or both. For up to date examples please visit our website.

Career opportunities

Graduates from the EPCC - High Performance Computing, Computational & Data Science, Software Engineering programme at The University of Edinburgh have found rewarding employment across an immensely wide range of areas including:

  • EPCC and University of Edinburgh
  • Other Major Supercomputing Centres in the US and Europe
  • Defence industry
  • Medical Imaging sector
  • Gaming industry

Programme Structure

  • You carry out your research within EPCC under the guidance of a supervisory team.
  • You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. You may also be encouraged to contribute to EPCC's seminar series.
  • Periodic reviews of your progress will be conducted to assist with research planning.
  • A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies. With the support of your supervisor, you will conduct an annual Training Needs Assessment, during which you will agree and plan your schedule of complementary training.

Key information

Duration

  • Full-time
    • 36 months
  • Part-time
    • 72 months

Start dates & application deadlines

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • A UK 2:1 honours degree, or its international equivalent, in a subject relevant to your project, typically one of: computational science (physics, biology, chemistry), cognitive science, artificial intelligence, computer science, mathematics, informatics, data science, engineering, or geosciences.
  • We may also consider a UK 2:1 honours degree, or its international equivalent, in fields such as linguistics, philosophy, or psychology if a relevant project is available.
  • You should be a competent to strong programmer in a language (or languages) relevant to your chosen project, typically at least one of C, C++, Java, Fortran, or Python. Individual projects may contain specific requirements relating to their topic.

Tuition Fee

To alway see correct tuition fees
  • International

    28000 GBP/year
    Tuition Fee
    Based on the tuition of 28000 GBP per year during 36 months.

Home fees have still to be agreed

PhD PT fees

  • International/EU: £14,000

Living costs for Edinburgh

725 - 1167 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

EPCC - High Performance Computing, Computational & Data Science, Software Engineering
-
The University of Edinburgh

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