Deep Learning for Complex Documents and Engineering Diagrams

The School of Computing at Robert Gordon University is offering 5 exciting industry-lead PhD studentships for September 2022 (please see other listings). 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.

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.

Please do not apply if you are unable to relocate to Aberdeen.

Applicants should have a very good BSc (Honours) (First or Upper Second class) degree or a Master degree (with Distinction or Merit) in a related discipline.

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 [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 31 July 2022, stating which studentship(s) you are applying for.

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.