Engineer – Natural Language Engineering and Computational Linguistics

NLP PEOPLE; Meylan; Sur place; EUR 35 000 - 50 000; Plein temps

Résumé du poste

A leading company in natural language processing is seeking a Research and Development Engineer for a 6-month contract. The role focuses on design and integration of language resources in HR applications, particularly for CV mining. Candidates are expected to have solid knowledge in NLP tools and scripting languages, with a strong collaborative approach to technology transfer.

Qualifications

• Proven knowledge in NLP tools like Named Entity Recognizers, Syntactic Parsers.
• Experience in developing linguistic resources (grammar rules, lexicons).
• Good team player in a multidisciplinary setting.

Responsabilités

• Designing languages resources and methods for natural language text analysis.
• Integrating natural language processing tools.
• Preparing presentations, demos, and reports.

Connaissances

Natural Language Processing tools

Scripting language (Perl)

Programming (Java)

Knowledge of Git, SVN, Agile methodologies

Formation

Master or engineering degree in computational linguistics or NLP

PhD degree (optional)

Description du poste

Job position in Natural Language Engineering & Computational Linguistics

XRCE is looking for a Research and Development Engineer in the field of natural language engineering and computational linguistics to work in ADL – the Advancement Development Lab. The position is a short-term contract of 6 months.

The Text processing & Interaction group in ADL brings together competencies in text mining, user interaction & design, and advanced engineering, in order to prototype and transfer technologies to Xerox business groups and customers. The group participates in a number of research transfer projects in data mining, machine translation and parsing with a focus on advanced user interaction systems such as Tangible Interfaces and Virtual Reality. Among others, it considers applications in Legal, Finance, Human resources.

The main focus for this job position is on the development of basic language resources and tools for application to CV mining in the Human Resources domain: the goal is to contribute to the development of a system for supporting recruiters in the review of applicants’ CVs received for a published job vacancy.

Job description:

Designing language resources and methods for the analysis of natural language texts, based on the combination of linguistic knowledge and methods possibly including machine learning, rule- based methods and statistical analysis.

Helping in the implementation or integration of the related natural language processing tools and resources.

Participating actively in preparing presentations and demos.

Participating actively in writing reports, invention proposals, etc.

Company:

Xerox Research Centre Europe

Qualifications:

DESIRED SKILLS AND EXPERIENCE

Proven knowledge and practice of Natural Language Processing tools, (such as Named Entity Recognizers, Syntactic Parsers, Part-of-Speech Taggers, etc)

Experience in the development of linguistic resources such as grammar rules, lexicons, resources for syntactic and semantic parsing of texts, etc.

Good knowledge of a scripting language, ( e.g. Perl).

Knowledge of a programming language such as Java.

Welcome knowledge of Git, SVN, Gira, Agile methodologies.

Enthusiastic approach to applied research and technology transfer.

Welcome experience in working in a multidisciplinary team.

The preferred candidate should hold a master or engineering degree in computational linguistics or NLP, but we do not exclude candidates holding a PhD degree and wanting to work in technology transfer and applied research for business applications.

Language requirements:

Very good knowledge of English.

Specific requirements:

6 month contract

How to apply:

Please mention NLP People as a source when applying

http://www.researchgate.net/job/841322_Engineer-Natural_Language_Engineering_and_Computational_Linguistics?ci=552d38ba03b6c

Tagged as: France, Industry, Machine Learning, Machine Translation, Natural Language Processing, NLP, Tagging