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We have 24 Artificial Intelligence (document) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (document) PhD Projects, Programmes & Scholarships

We have 24 Artificial Intelligence (document) PhD Projects, Programmes & Scholarships

Privacy Attacks and Defences in Federated Learning systems

  Research Group: Cyber Security
Project description. In the wake of growing data privacy concerns and the enactment of the GDPR, Federated Learning (FL) has emerged as a leading privacy-preserving technology in Machine Learning. Read more

Cybersecurity and Artificial Intelligence: Friends or Enemies?

Artificial Intelligence (AI) systems have become critical to safeguarding systems against cyber threats. However, the risk of their misuse necessitates the development of protective measures to prevent them from becoming enemies. Read more

Audio/acoustics Machine Learning

One fully-funded PhD studentship including fees and stipend is available for an outstanding candidate to join the Centre for Vision, Speech and Signal Processing (CVSSP), part of the University of Surrey’s Institute for People-centred Artificial Intelligence (PAI), in partnership with Fraunhofer Institute for Integrated Circuits IIS. Read more

PhD studentship in Human-computer Interaction exploring AI in Film and TV

One fully funded PhD position to work with Dr. Susan Lechelt and Prof. Ewa Luger in the School of Informatics at the University of Edinburgh on a project titled “Scripted Production Futures in the Age of AI”. Read more

PhD in Media Provenance and Authenticity

​​​​We are looking to recruit an excellent PhD student in the field of Artificial Intelligence (AI) focused on the problem of ensuring media provenance and authenticity in the age of Generative AI. . Read more

Development of a highly innovative label-free & deep-learning based analysis method: Histoplasmonic Tissue Cytometry

The doctoral candidate (DC) will perform applied research in bioinformatics, i.e., the extraction of numerical values from biological samples, by engaging deep learning technologies to microscopic images with the aim to develop a novel solution for future clinical diagnostics of cancer. Read more

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