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Fully Funded PhD’s available in Artificial Intelligence, Machine Learning and Advanced Computing

The School of Computer Science and Electronic Engineering announced that they have two fully-funded PhD positions available in the area of (AIMLAC) to start October 2022.  

Funding will cover the full cost of tuition fees and an annual stipend of £15,921, plus additional funding is available for research expenses. The places are available for UK and overseas students. 

Professor Jonathan Roberts (Âé¶¹Íø lead in the AIMLAC project) said “The area of Artificial Intelligence will change our lives. We are already seeing automated phone systems and will see many more `smart’ systems. The AIMLAC PhD training programme is therefore a great opportunity for two individuals to be trained in AI, Machine Learning and Advanced Computing. There is a huge shortage of researchers in this area, and we are excited to be able to train the next generation of computing students. At the University we research a wide range of topics. These include data analysis, visualisation, virtual reality, deep learning and natural language processing. We apply these skills to a diverse range of environmental, scientific, and social datasets. Students will have access to and become part of a dynamic team. Would you like to become a future leader in AI, Data and Computing?”

logo ukri

The 4-year PhD scholarships will sit within the UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing (CDT-AIMLAC, ) and the two students will be based at Âé¶¹Íø, located within the School of Computer Science and Electronic Engineering (CSEE). 

logo aimlac

Professor Roberts went on to say “This year we are offering two fully funded places. We have four projects, that cover a range of challenges in this area. From smart image analysis, explainable AI, mixed and virtual reality, to Natural Language Processing. Candidates must identify their preference of at least two projects”. For full details of the project and application process, follow the link to the course details and apply by 12th February 2022.

The successful candidates will be required to attend taught components in year 1 (shared between the Universities of Aberystwyth, Âé¶¹Íø, Bristol, Cardiff and Swansea) and engage with placements (approximately six-months). Successful applicants will be registered at Âé¶¹Íø, hosted by the School of Computer Science and Electronic Engineering throughout their period of study. Applicants should have at least a 2:1 degree, demonstrate excellent programming skills and have followed a suitable degree programme, e.g., in computer science, mathematics or electronic engineering (with substantial programming). Applicants must have an interest in AI, machine learning and advanced computing and excellent written and spoken English (IELTS 6.5). 

Further information

For more information please contact Professor Jonathan Roberts j.c.roberts@bangor.ac.uk.

Publication date: 17 January 2022

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