Two PhD studentships in NLP with Deep Learning and Knowledge Graphs at City, University of London in collaboration with Rolls Royce
We are seeking to appoint two fully funded PhD students in Computer Science in collaboration with Rolls Royce Ltd.
Closing application date: Thursday 30th of June 2022.
Starting date: 1st October 2022.
The successful candidates will work on two projects entitled “Extracting subject-specific knowledge graphs from natural language” and “Guiding engineering design by text corpora and knowledge graphs”.
The projects are focused on developing methods for extracting and applying technical and regulatory information from text to support engineering and other application areas.
What is offered
The studentship consists of a full fee waiver (national or international) and a stipend of £16K per year, for three years (subject to funding confirmation).
The studentships will be awarded based on academic achievement and the potential to produce cutting edge research. Prospective applicants must:
• Hold a good Master’s degree (no less than a second class honours degree or an equivalent qualification) in Computer Science, Artificial Intelligence or related fields. We will also consider applications from those with a good honours degree or extensive professional experience in the area;
• Proficiency in two or more of the the following areas:
⁃ implementation and evaluation of deep learning architectures and algorithms;
⁃ natural language processing methods and models;
⁃ knowledge graphs in theory and practice;
⁃ integration of neural networks with symbolic knowledge and reasoning;
• Proficiency in programming in Python;
• Be able to demonstrate proficiency in the use of oral and written English.
How to Apply
You are strongly encouraged to discuss your application in advance with Dr Tillman Weyde ( t.e....@city.ac.uk
Email Dr Tillman Weyde
Visit our Computer Science research degrees web page for further information on making a formal application. When submitting your proposal, enter the title “Rolls Royce Collaboration” followed and you will automatically be considered for this studentship.
The online application can be found in the ‘How to apply section’ in the web link above and should include the following supporting documents:
• Copies of Degree Certificates and Transcripts in official English translation - original will be requested before an offer is made.
• Official work e-mail addresses (not private ones) for two referees (one of which must be an academic).
• Proof of English Language proficiency (minimum average score of 6.5 IELTS, with a minimum of 6.0 in each of the four components) if English is not your first language.
• Passport copy.