This 3 year collaborative PhD studentship with Prof Mark Girolami is attached to the Department of Statistical Science at University College London. UCL is among the top-ten research institutions in the world, is one of the three largest statistics group in the UK and has unique combined strengths in Statistical Methodology and Machine Learning. Together with other groups at UCL the department forms the Centre for Computational Statistics and Machine Learning (CSML), which is part of the European Network of Excellence PASCAL.
The research project will focus on the development of structured prediction models to build document templates and learn to customize texts or sentences according to user preferences and habits. Conditional language models to generate human readable text based on the specific target application and device appropriate algorithms for the generation of small pieces of text, such as introductory sentences will also be developed. This project will draw upon recent advances in Natural Language Processing tools, Machine Learning algorithms and Stochastic Optimization techniques, in developing intelligent document creation tools.
Applicants will have to demonstrate their capacity to learn new mathematical concepts. They should be proficient in one or several programming languages such as in Matlab, Python, Java or C++. A strong background in computational linguistics and/or probabilistic machine learning is preferred. Please include in your CV at least two referees we can contact for letters of recommendation.
This UCL-Impact studentship may be used to support UK and EU nationals only. The UCL advert for this Impact Studentship is available at https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041178&ownertype=fair&jcode=1197158.
Xerox Research Centre Europe (XRCE) is a young, dynamic research organization, which creates innovative technologies to support growth in Xerox business process outsourcing and document management services businesses.
Our domains of research stretch from the social sciences to computer science. We have renowned expertise in machine learning, natural language processing, computer vision, ethnography and services computing.
XRCE is part of the Xerox Innovation group made up of 800 researchers and engineers in four world-renowned research and technology centres. Xerox and XRCE is an equal opportunity employer.
The "Charte de la diversité”, adopted by Xerox, proves our engagement in favour of cultural, ethnic and social diversity. Our main building is compliant with the AGEFIPH standards for disabled access.
The Grenoble site is set in a park in the heart of the French Alps in a stunning location only a few kilometers from the city centre. The city of Grenoble has a large scientific community made up of national research institutes (CNRS, Universities, INRIA) and private industries. Stimulated also by the presence of a large student community, Grenoble has become a resolutely modern city, with a rich heritage and a vibrant cultural scene. It is a lively and cosmopolitan place, offering a host of leisure opportunities. Winter sports resorts just half an hour from campus and three natural parks at the city limits make running, skiing, trekking, climbing and paragliding easily available.
Grenoble is close to both the Swiss and Italian borders.
