Job: Researcher in Natural Language Understanding and Text Mining @ IDSiA (CH)

The International Society for Bayesian Analysis; Lavamünd; Vor Ort; EUR 96.000 - 138.000; Vollzeit

Benefits dieser Stelle

International working environment

Collaboration with a strong research team

Career progression opportunities

Attractive salary

Zusammenfassung

A research institution in Austria seeks a dedicated Researcher in Natural Language Understanding and Text Mining. The role involves groundbreaking research, implementation of algorithms for big data, and publishing in leading journals. Candidates must have a PhD and a solid programming background. This position offers a two-year contract in an international environment with competitive salary according to Swiss standards. Collaborators will develop their skills and manage projects with industrial partners.

Qualifikationen

• PhD in Natural Language Processing or Text Mining required.
• Strong publication record necessary.
• Proficiency in programming libraries for NLP.
• Communication skills essential for leading projects.
• Proficiency in written and spoken English.
• Capability of leading projects with industrial partners on automatic analysis of documents.
• Communication and collaboration skills.

Aufgaben

• Research on methods for natural language understanding and text mining.
• Publish in top journals and conferences.
• Implement scalable algorithms for big data.
• Coordinate team projects with industrial partners.

Kenntnisse

Natural Language Processing

Programming skills

Collaboration skills

Machine learning knowledge

English

Ausbildung

PhD in relevant field

Master in informatics or related field

Tools

NLP libraries

Jobbeschreibung

The Dalle Molle Institute for Artificial Intelligence (IDSIA, www.idsia.ch)

For a Researcher in the area of Natural Language Understanding and Text Mining. The occupancy degree is 100% and the duration of the contract is 2 years.

Responsibilities

• Research on cutting‑edge methods for natural language understanding (probabilistic बेलlanguage modeling, keyword extraction, text summarization) and text mining (text classification, word embedding, topic models);


• Publication on top journal and top conferences in the field;


• Implementation of such algorithms so as to scale on big data;


• Coordination of a team of developers on projects with companies on related topics.

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Requirements

• The position is for a young researcher, who however has already obtained a PhD on a topic relevant to Natural Language Processing Ren or Text Mining;
Master in informatics or other areas with strong emphasis on computation;

• Strong publications record;


• Excellent programming skills and deep knowledge of libraries for natural language processing;


• UNU beholder Proficiency in written and spoken in English;


• Capability of leading projects carried out with industrial partners on automatic analysis of documents;


• Communication and collaboration skills.

Optional but Preferential

• Good knowledge of machine learning algorithms and tools;


• Good knowledge of written and spoken Italian, or willingness to learn it in short times.

We Offer

• A two-year position (degree of occupancy 100%), with possibility of prolongation;


• International working environment;


• Collaboration with a strong team of researchers in Machine Learningrology and Statistics (our publication record is available at: http://ipg.idsia.ch);


• Possibility of development of own professional and scientific skills as well as career progression;


• Attractive salary, in line with Swiss standards and the candidate’s experience.
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Application Documents




Applicants should submit the following documents, written in English:




• Curriculum vitae


• List of exams and grades obtained during the Bachelor and the Master of Science


• List of three references (with e‑mail addresses)


• Brief statement on how their research interests fit the topics above (1–2 pages)


• Publications list and possibly link to the thesis.
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Application Deadline




Applications should be submitted by 28 February 2018 through the online form at the address: http://www.form-ru.app_hover.supsi.ch/view.php?id=274900



Further Information


For further information see: http://www.supsi.ch/home/supsi/lavora-con-noi/2018-01-25-bando475.html