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We have 359 artificial intelligence PhD Projects, Programmes & Scholarships

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artificial intelligence PhD Projects, Programmes & Scholarships

We have 359 artificial intelligence PhD Projects, Programmes & Scholarships

Photo-chemical adaptive integrated circuits for next generation neuromorphic computing

Neuromorphic computing, i.e., an approach to information processing inspired in basic morphology and working principles of the brain, is a rapidly growing area of research due to the availability of high-speed hardware and need for artificial intelligence (AI) systems across a wide range of applications. Read more

Neuromorphic photonic-electronic integrated circuits for fast and efficient SPIKE-based information PROcessing (SPIKEPRO)

The human brain is exceptional at performing highly complex tasks fast and efficiently. Hence, neuromorphic (brain-like) information processing is receiving increasing research interest for use in novel computing and Artificial Intelligence (AI) hardware. Read more

Deploying safer robot chemists in real laboratory environments

Robotic chemists [1] are a totally new and disruptive development in human-centric labs, and these systems are already beginning to carry out complex experiments that require skills beyond sample transportation (e.g., sample weighing [2] and scraping samples from vials [3]. Read more

Funded Doctoral Programme in Sensing, Processing, and AI for Defence and Security (SPADS)

Interested in a career developing generation-after-next technology in the defence and security sector? Apply links now open for September 2024 entry. Read more

Funded Doctoral Programme in Sensing, Processing, and AI for Defence and Security (SPADS)

Interested in a career developing generation-after-next technology in the defence and security sector? Apply links now open for September 2024 entry. Read more

Computationally driving automated functional materials discovery for net zero technologies with machine reasoning and decision-making

This project, suited to a student with a Computer Science or Mathematics background, will formally define the nature and consequences of the decisions that need to be made in the automated workflow and identify both the optimal combination of existing methods and tools to accelerate discovery and the gaps in capability that currently exist. Read more

Automated experimental functional materials discovery for net zero technologies

The discovery of materials that will drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and myriad other unmet needs, is a scientific and societal grand challenge that requires experimental realisation of materials in the laboratory. Read more

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