| Thomson Legal & Regulatory (TLR) is a leading provider of integrated information solutions to legal, tax, accounting, intellectual property, compliance, business and government professionals around the world. With 17,000 employees, TLR has business operations in 24 countries. The technology organization within TLR is a centralized unit providing shared software and services to TLR business units across the globe.
The Research & Development department for Thomson Legal and Regulatory would like to invite qualified applicants to apply for an open Research Scientist position in their Eagan, MN offices. The Research & Development department performs applied research in natural language processing, document retrieval, information extraction, text classification, summarization, and named entity recognition. The ideal candidate would have significant expertise in one or more of these research areas.
Preference will be given to candidates with research and work related experience in the area of statistical machine learning for text processing applications.
Principal duties:
• Conducting applied research in information retrieval, information extraction, text categorization, text mining, or related areas in the context of large online delivery environments, such as Westlaw
• Execution of such projects, including:
o implementation of prototypes and the design of experiments to evaluate them
o performing of experiments to validate key algorithms and architectures associated with such prototypes, followed by written reports
o liaison with other departments concerning transition of prototypes into production
o collaboration with software engineers engaged in the construction of prototypes
• Custom development for other TLR departments on key projects with a research component
• Monitoring of research literature through reading
Prerequisites:
• Applicants should have a graduate degree in Computer Science or a related discipline
• Relevant experience in one or more of the following areas: natural language processing, machine learning, information retrieval, information extraction, document classification, summarization, and named entity extraction and resolution (Applicants with Masters degree must have some additional work related experience)
• Substantial experience with UNIX or Windows environment
• Proficiency in a programming language such as Java or C++
• Good oral and written communication skills (as demonstrated through prior technical publications)
• Relevant publications in Journals and (refereed) conferences a plus
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