The School of Computing at Robert Gordon University is offering 2 exciting PhD studentships for February 2023. Successful candidates will be joining the top modern university in Scotland (GUG 2022) and a school (School of Computing) that was listed as the top modern in Scotland for Computer Science (GUG 2022).
The computing school is internationally recognised for research in AI & Reasoning, Computational Intelligence, Immersive Tech and Machine Vision. We have a thriving research environment supported by national and international funding to bring together early-career and early-stage researchers across all areas to carry out leading-edge applied computer science research with high industrial and societal impact. You will be joining a lively, friendly and supportive research and teaching community within the school.
The duration of projects will be up to 36 months, commencing in February 2023. The studentship covers both tuition fees - at UK or International/Overseas level and a tax-free stipend (living allowance) of £15,600 per annum. The successful candidate will be required to pay for their Student Visa and travelling costs to Aberdeen; the stipend will start on commencement of studies.
The successful candidate will be required to relocate to Aberdeen as soon as possible to study, although studies may start remotely initially; this is an essential requirement of the studentship and is not open to negotiation.
Please do not apply if you are unable to relocate to Aberdeen.
Deep Learning for Complex Documents and Engineering Diagrams - Professor Eyad Elyan
The overall aim of this project is to develop a Deep Learning framework for digitising engineering diagrams and complex documents. More specifically, the successful PhD candidate will lead the technical development and evaluation of new methods for processing and analysing engineering drawings. The challenge here involves the recognition of a large range of symbols and fixtures contained in digital drawings including the extraction of text and contextual information. The trained models will be used to optimise connectivity information within electrical diagrams for real-world tasks (e.g., route optimisation and wiring generation) in collaboration with our business partners.
Applicants should have a very good BSc (Honours) (First or Upper Second class) degree or a Master degree (with Distinction or Merit) in computer science or related discipline. They must also have strong understanding of computer vision and image processing, and technical experience in modern deep learning libraries such as Tensorflow, PyTorch or similar frameworks is a must.
Applicants should have good personal and communication skills, strong professionalism and integrity, and be capable of working on their own initiative.
Enquiries can be emailed to Professor Eyad Elyan at [Email Address Removed] or [Email Address Removed] and will be forwarded to the lead academic if technical in nature.
Applications
Applications should be emailed to [Email Address Removed] by 21 November 2022.
The application should consist of:
- A covering letter or personal statement of interest
- CV
- IELTS (or equivalent) certificate
- Two references (at least one academic or professional).
Further information such as passport details or transcripts may be requested during the short-listing stage.
For more information regarding the University's English language requirements please visit: https://www.rgu.ac.uk/study/international-students/english-language-requirements
Please note that if response is high the application deadline may be brought forward; you are advised to apply as early as possible.