Skip to main content
School of Electronic Engineering and Computer Science
  1. School of Electronic Engineering and Computer Science
  2. PhD
  3. PhD studentships
  4. PhD Studentship in Machine Learning and Computer Vision

PhD Studentship in Machine Learning and Computer Vision

Application closing date: 15 July 2020
Start date: September 2020
Research group: Multimedia and Vision (MMV)

Duration: 3 years
Funding available

 

A fully funded PhD position is available focussing on Learning representations using Deep Learning methodologies for Analysis and Synthesis in the field of Multimedia. The position is in the Multimedia and Vision research group under the supervision of Prof. Ioannis Patras.

The position is in the framework of the EU project AI4media in collaborations with major European academic and industrial partners. The project aspires to become a centre of excellence and a wide network of researchers across Europe and beyond, with a focus on delivering the next generation of core AI advances to serve the key sector of Media and to make sure that the European values of ethical and trustworthy AI are embedded in future AI deployments.

  • 3-year fully-funded PhD studentship
  • Access to cutting-edge facilities and expertise in artificial intelligence (AI) and media technology
  • Partnerships with 30 leading partners in the areas of AI and media (9 universities, 9 research centres, 12 industrial partners)

More information on the AI4Media can be found:https://ai4media.eu/

Who can apply?

Successful applicants should have the following profile:

  • Hold or be completing a Masters degree at distinction or first class level, or equivalent, in Computer Science, Electronic Engineering, Mathematics or Physics.
  • Very good programming skills and preferably experience with Deep Learning tools and packages.

For the above PhD topic, we are offering a scholarship to both ordinarily resident in the UK and international students.

Funding

This is a fully-funded 3-year PhD studentship starting in September 2020 which will cover the cost of tuition fees and will provide an annual tax-free stipend of £17,285. The grant will also provide funding for conference travel, equipment, and for attending other project-related events.

Apply Now

Please apply following the link: http://eecs.qmul.ac.uk/phd/how-to-apply/, choosing Prof. Ioannis Patras as the potential supervisor, in the Multimedia and Vision group (MMV).

In the online application form, under the section “Other Information”: for question “How do you intend to finance your studies at Queen Mary University of London?” please use the “I am a QMUL PG Research Studentship applicant” response.

Applications are open

Application deadline: 15 July 2020

For further information on eligibility, funding and the application process please email Prof. Ioannis Patras (i.patras@qmul.ac.uk) with the string “[AI4Media] PhD position” in the subject of the email.