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Supported by the EIT Digital, City, University of London’s Artificial Intelligence Research Centre (CitAI) is offering a Doctoral Training Program (CeitIAI) in Industrial Artificial Intelligence. This program will enable the commercial deployment of AI technology in the UK, Europe and other regions by developing critical interdisciplinary capabilities in AI technology, particularly, though not exclusively in deep learning, explainable AI, and Artificial General Intelligence. The DTP is focused on the application of AI for solving real-life industrial problems in energy, transport, health and well-being, and finance as well as on the study of the legal, ethical and social impact of AI.

The EIT Digital School is a leading European digital innovation and entrepreneurial education organisation driving Europe’s digital transformation. It invests in strategic areas to accelerate the market uptake and scaling of research-based digital technologies (deep tech) focusing on Europe’s strategic, societal challenges: Digital Tech, Digital Cities, Digital Industry, Digital Wellbeing, and Digital Finance.

CeitIAI is funded through studentships sponsored by EIT-Digital and industrial partners. The studentships consist of a full fee waiver and a stipend of £18K per year, for four years. As part of their studies and training, the students spend time at City’s School of Mathematics, Computer Science and Engineering (SMCSE), EIT-Digital London Co-Location Centre and the premises of the company which co-funds the projects. In addition, over the 4 years of study, the PhD student follows the EIT Digital PhD, which is an enrichment programme to develop skills and competences in innovation and entrepreneurship in digital technologies. The label programme supports: 1 between 3 and 6 months abroad to enrich their research experience, for which a supplementary budget is available; 2 EIT-Digital European training in innovation, entrepreneurship and digital transformation leadership, which takes place at other EIT-Digital centres across Europe; 3 Business Development Experience, which is a series of activities planned together with the industrial supervisor to put in practice the knowledge acquired in the seminars.

At City, the PhD students are assigned academic supervisors, and have access to computing facilities, including the new cutting-edge AI Robin Milner Lab, which includes GPU computers and servers, and City’s services. In addition, they are monitored and supported by a Senior Tutor for Research, participate in SMCSE’s DTP, and gain teaching experience by supporting our UG and PG courses.

If you are interested in learning about the DTP and/or sponsoring PhDs, please contact Alex Ter-Sarkisov at Alex.Ter-Sarkisov@city.ac.uk.


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