EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems

“A unique and timely training context and outlook that will nurture PhD researchers who can ensure applications of big data and machine intelligence are underpinned by innovations that prioritise human values, experience and capabilities. We will invert the science-first convention— which moves from fundamentals to applications—to a people-first approach that starts with challenging contexts to disrupt and direct new, adventurous and exciting computational science.” Professor Matt Jones, Director of the Centre for Doctoral Training.

The EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems is based within the Computational Foundry.  

Join our People-First Movement and Change the World

You do not need to look far for evidence that highlights widespread and growing concerns around the coming transformations promised by big data and artificial intelligence.

There is a darkness descending on and through the digital and our Centre is a beacon of light, with a fresh and passionate outlook that provides insights recognised globally and works to attract diverse groups of PhD researchers, stakeholders and community members to co-create a better future. There are great examples of how data-driven and intelligent systems can be hugely positive for society; our Centre will help realise such hopes by grounding them in the rich messiness of human life and aspirations.

We address a clear and challenging need to put people at the heart of research and innovation for data-driven and intelligent technologies. A need valued by our external partners who include Admiral Group, Tata Steel, Ford, Fujitsu, McAfee, Google, NHS and Facebook.

While there will be many, often essential, initiatives to train computational researchers in terms of fundamental data analytics and AI algorithms and processes, our Centre will foster breakthroughs in core aspects of computational science that can enhance the human experience of and engagement with data and intelligence in challenging contexts by exposing and disrupting the science to and by their demands.

**Recruitment for our latest cohort is now open!**

We are now recruiting our 2021 cohort of students. Closing date for applications is 26 March 2021. Interviews will be held between 21st & 22nd April

To apply, please email your application to EPSRC-CDT-Enhance-Apply@swansea.ac.ukYour application must include the following attachments in pdf form:

  1. CV
  2. Degree certificates and transcripts (if you are still an undergraduate, provide a transcript of results known to date)
  3. A statement no longer than 2 pages of A4 in length that explains why you want to join our Centre and what you will bring to our community. You should outline the sorts of AI and big data challenges you are interested in and which of our challenging contexts that particularly appeal to you. You do not need to specify a detailed research plan at this time though as this will be shaped during the first year.
  4. Completed Scholarship Application Form
  5. Academic references – all scholarship applications require two supporting references to be submitted.  Please ensure that your chosen referees are aware of the funding deadline, as their references form a vital part of the evaluation process.  Please either include these with your scholarship application or ask your referees to send them directly to EPSRC-CDT-Enhance-Apply@swansea.ac.uk
  6. A complete EDI Monitoring Form

You should have an aptitude and ability in computational thinking and methods including the ability to write software or enthusiasm to learn how to do so. While such aptitude might be evidenced by a degree in Computer Science, Engineering or Mathematics, we are building a community that aspires to have a high degree of diversity of perspective. So, if you have a background in the Arts and Humanities; Social Sciences; Law; Management etc then please be encouraged to apply. The minimum entry requirement is a 2.1 undergraduate degree. For non-native English language speakers, an IELTS average score of 6.5 with no less than 6.0 in any element is required.

For future AI and big data technologies to serve society and the economy effectively, they will need to be created and critiqued by a diverse and wide set of perspectives as possible: we welcome applications from anyone who feels they can help in the mission of the Centre.

We have fully funded places available.

For more information on this, please visit: https://www.swansea.ac.uk/postgraduate/taught/science/computer-science/msc-human-centred-big-data-and-ai/#featured-course-content-overview

For an informal discussion about your application, please contact the Centre Director Professor Matt Jones (Director-Enhance-CDT@swansea.ac.uk) or CDT Project Manager Dr Sherryl Bellfield (s.l.bellfield@swansea.ac.uk)

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