IBM Research Scientist: Natural Language Processing in MULHUDDART, Ireland

Job descriptionIBM Research - Ireland is accepting applications for full-time researchers in the area of natural language processing.The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP).Prior experience in the area of text analytics in particular information extraction, information retrieval and machine learning are highly desirable.Strong programming skills in Java are required.The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents.As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.We are an R&D organization that works closely with city authorities, universities, and small/large businesses to advance science & technology.Our group is especially focused on contributing to cognitive domains such as data mining and machine learning ; natural language processing ; decision science ; artificial intelligence ; knowledge & data engineering; recommender systems.We offer:• A stimulating, cross-disciplinary environment in a leading research organization,• Opportunities for a unique combination of scientific and industrial research into real-world problems• Excellent ties to academic and industrial research labs worldwide• Up-to-date infrastructure and resources• The ability to take part in large-scale international research projectsRequired• PhD Degree in computational linguistics or computer science.• At least 5 years experience in the areas of information extraction and machine learning.• Strong publication record in top-tier research conferences and journals.• At least 3 years experience in programming in Java.• Hands-on experience with text/big data analysis/management tools such as Lucene, Nutch, Hadoop, Mahout, Tika etc. NLP libraries, such as Mallet, Stanford NLP Java/Python Machine learning libraries, such as Tensorflow, Keras, Torch, DL4J, Spark/PySpark, Weka etc. • English: FluentPreferred• Experience in one of the following domains: anaphora resolution, textual entailment, sentiment analysis/opinion mining, argument mining.• Strong software engineering skills.• Experience with healthcare corpora, in particular with PubMed, is a plus.

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