Hewlett-Packard Labs in Bristol (http://www.hpl.hp.com/bristol/) are seeking to establish a collaborative project with a suitable academic partner and PhD student for a 6 month internship through the Industrial Mathematics Internships Programme. Full details of the programme are on www.ktn-internships.net
An Industrial Mathematics Internship is a way for companies and university research groups to develop strong working relationships, through engaging a dedicated postgraduate researcher to work on a specific project over a period of 3-6 months. The Intern must be a doctoral student at a UK university, and this university must provide an academic mentor to the Intern (typically the student's supervisor).
Project description
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Title: Quality assessment for automatically created documents
Aesthetics criteria play an important role in the creation, evaluation and acceptance of automatically generated documents. The project will look at how to identify important aesthetic and other designer rules for a given class of documents. The project will aim to develop a decision process for selecting relevant aesthetic parameters (based on statistical modelling) and to develop classifiers (based on supervise or semi-supervise computer learning) for accepting or rejecting documents. The milestones of the project will be:
1. Identification of important aesthetics for a given class of documents.
2. Criteria for selecting most relevant aesthetics for given subclasses of documents.
3. Establishing aesthetic classifiers and algorithms for their calculations.
The Intern should have a good knowledge and expertise in statistical modelling and learning theory. We expect to use regression models, parameters estimations, penalized likehood methods and statistical learning theory. We also expect the Intern to be able to write computer codes. The suggested length of the project is 6 months.
Application
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If you are an academic supervisor with a suitable student, and you would like to apply for this internship opportunity, please contact Dr Vera Hazelwood at the Smith Institute (vera.hazelwood@smithinst.co.uk, (+44 (0)7875 401 570), who will provide further information and guidance on the application process.